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Nikolay Ivanov (DM) - Jiminny Inc - 4 new items - Nikolay Ivanov (DM) - Jiminny Inc - 4 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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James Graham, Direct Message, 1 of 15 suggestions
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Switch workspaces… (Jiminny Inc) Has new messages
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
React with white_check_mark
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
React with white_check_mark
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
React with white_check_mark
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
React with white_check_mark
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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James Graham, Direct Message, 1 of 15 suggestions
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E jiminny• iCloud Drive283 Sync folderO DXP4800PLUS-B5F A® Network• Orange• Red• Yellow• Green• Blue• PurpleO All Tags.• Svstem Audio (outout) 2026-05-13 06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4• System Audio (output)_2026-05-13_06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4e (input)_2026-05-13_06-18-55.mp/• System Audio (output)_2026-05-13_06-18-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-18-25.mp4• System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-17-55.mр4• System Audio (output) 2026-05-13 06-17-55.mp4• MacBook Pro Microphone (input) 2026-05-13_ 06-17-25.mp41 Audio (output)_2026-05-13_06-17-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-16-53.mp4System Audio (output)_2026-05-13_06-16-53.mp4MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4input)_2026-05-12_18-26-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4D MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp42026-05-12 18-23-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-23-26.mo4|D MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4• MacBook Pro Micinput)_2026-05-12_18-22-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-21-56.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-26.mn/MacBook Pro Microphone (input)_2026-05-12_18-20-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4MacBook Pro Microphone (inout) 2026-05-12 18-19-57 mo4‹ $0 lihl f Support Daily - in 2h 30 m[БГ100% C42 8• Wed 13 May 12:30:06Onvd.nist.gov/vuln/detail/cve-2026-67222 (UY-19967] Upgrade Python and lit(Dependabot alerts • jiminny/prophe(UY-19958) Upgrade BE libraries -jiminny/app/backend-code - VantaLow vulnerabilities identified in pacp/backend-code - Vanta1 NVD - cve-2026-6722.(UY-20773) User Pilot not receivins( JY-19957 | Remove abanded symp§ Project Phoenix - FigmaTypeError: League\Flysystem|Files)•New TabU Userpilot | Ask Jiminny Report Gen+ (SRD-6848) Sidekick SMS issue -(UY-19957) Upgrade BE libraries -JY-19957 | Remove abanded smp2 Hich vulnerabilities identified in oaMedium vulnerabiliies identified inLow vulnerabilities identified in pac+ New Tabthese sites. Please address commeants about this page [EMAIL]://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5Source(s)PHP GroupWeakness EnumerationCWE-IDCWE-416CWE NameUse After FreeSourcePHP GroupKnown Affected Software Configurations Switch to CPE2.2Configuration 1 (hide)# сре:2.3:a:php:php[PASSWORD_DOTS]Show Matching .CPE(s)~# сре:2.3:a:php:php:[PASSWORD_DOTS]Show Matching CPE(s)*# срe:2.3:a:php:php*******;*Show Matching CPE(s)~# cpe:2.3:a:php:php[PASSWORD_DOTS]:*Show Matching CPE(s)-From (including) Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].21From (including)8.5.0Up to (excluding)8.5.6*E Denotes Vulnerable SoftwareAre we missing a CPE here? Please let us know.Change History2 change records found show changesTag(s)Vendor Advisory)HEADQUARTERSIncident Resnonse Assistance and Non-NVD RelatedlTechnical Cvber Securitv Questions.Us-CERt Security Onerations CenteEmail: [EMAIL]: 1-[PHONE]Webmaster | Contact Us | Our Other OfficesSite Privacy | Accessibility | Privacy Program | Copyrights | Vulnerability Disclosure | No Fear Act Policy | FOIA | Environmental Policy. | Scientific Integrity. | Information Quality Standards | Commerce, gov | Science,gov | USA.gov...
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Project Phoenix – Figma — Work
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www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Projec www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Project-Phoenix?node-id=15100-49503&t=fpVSk8URg5UjOGfG-0...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)9 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS / 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4→ NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4→ NAS / 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS /199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4→ NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityLaterlhlSupport Daily - in 2 h 30 m100% (C478•Wed 13 May 12:30:14-QDescribe what you are looking forJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...Nikolay Ivanov6 0• Messages+° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev®. Galya DimitrovaRo Steliyan GeorgievLo Petko KashinskiR. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...AppsAdd canvasO FilesLukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerJira CloudMessage Nikolay IvanovToast...
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Project Phoenix – Figma — Work
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www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Projec www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Project-Phoenix?node-id=15100-49503&t=fpVSk8URg5UjOGfG-0...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
E jiminny• iCloud Drive223 Sync folderO DXP4800PLUS-B5F A® Network• Orange• Red• Yellow• Green• Blue• Purple• All Tags.• System Audio (output) 2026-05-13 06-20-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-19-55.mp4• System Audio (output)_2026-05-13_06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-18-55.mp4• System Audio (output)_2026-05-13_06-18-55.mp4System Audio (output)_2026-05-13_06-16-53.mp4MatBook Pro Mcropione (nри) 2028-05-12.18-45-28.пра.D MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp42026-05-12_18-28-56.mр4• MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4• MacBook Pro Microphone (input)_ 2026-05-12_18-26-26.mр4• MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4D MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4licrophone (input) 2026-05-12 18-23-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-23-26.mo4|D MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4• MacBook Pro Micinput)_2026-05-12_18-22-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-21-56.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-26.mn/MacBook Pro Microphone (input)_2026-05-12_18-20-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4MacBook Pro Microphone (inout) 2026-05-12 18-19-57 mo4‹ $0 lihl f Support Daily - in 2h 30 m100% C42 8• Wed 13 May 12:30:14Onvd.nist.gov/vuln/detail/cve-2026-67222 [UY-19967) Upgrade Python and lil(Dependabot alerts • jiminny/prophe(UY-19958) Upgrade BE libraries -liminny/app/backend-code - VantaLow vulnerabilities identified in pacbp/backend-code - Vanta1 NVD - cve-2026-6722.(UY-20773) User Pilot not receivins( JY-19957 | Remove abanded sympProject Phoenix - FigmaTypeError: League\Flysystem|Files)•New TabU Userpilot | Ask Jiminny Report Gen(SRD-6848] Sidekick SMS issue -(UY-19957) Upgrade BE libraries -( JY-19957 | Remove abanded symp2 Hich vulnerabilities identified in paMedium vulnerabilities identified inLow vulnerabilities identified in pac+ New Tabthese sites. Please address commeants about this page [EMAIL]://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5Source(s)PHP GroupWeakness EnumerationCWE-IDCWE-416CWE NameUse After FreeSourcePHP GroupKnown Affected Software Configurations Switch to CPE2.2Configuration 1 (hide)# сре:2.3:a:php:php[PASSWORD_DOTS]Show Matching .CPE(s)~# сре:2.3:a:php:php:[PASSWORD_DOTS]Show Matching CPE(s)*# срe:2.3:a:php:php*******;*Show Matching CPE(s)~# cpe:2.3:a:php:php[PASSWORD_DOTS]:*Show Matching CPE(s)-From (including) Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].21From (including)8.5.0Up to (excluding)8.5.6*E Denotes Vulnerable SoftwareAre we missing a CPE here? Please let us know.Change History2 change records found show changesTag(s)Vendor Advisory)HEADQUARTERSIncident Resnonse Assistance and Non-NVD RelatedlTechnical Cvber Securitv Questions.Us-CERt Security Onerations CenteEmail: [EMAIL]: 1-[PHONE]Webmaster | Contact Us | Our Other OfficesSite Privacy | Accessibility | Privacy Program | Copyrights | Vulnerability Disclosure | No Fear Act Policy | FOIA | Environmental Policy. | Scientific Integrity. | Information Quality Standards | Commerce, gov | Science,gov | USA.gov...
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TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
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a day ago
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8.3.30
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6.1.164-196.303.amzn2023.aarch64
884981
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Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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|
6893360333445470183
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-203332870659917774
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visual_change
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accessibility
|
NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
2.4K
0
Resolved
/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
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0
release 13% 881233
release
13%
881233
environment 100% production
environment
100%
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runtime 100% php 8.3.30
runtime
100%
php 8.3.30
mechanism 100% generic
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ID: 2dc71891
a day ago
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
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Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
Show 1 more frame
/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
Copy file path
Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
Show 14 more frames
/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664616627_m2.jpg...
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Firefox
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TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
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jiminny.sentry.io/issues/6873095751/?environment=p jiminny.sentry.io/issues/6873095751/?environment=production-eu&environment=production&project=82419&query=is%3Aunresolved&referrer=issue-stream&sort=freq...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Users (90d)
Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
production-eu, production
production-eu, production
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release 13% 881233
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environment 100% production
environment
100%
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runtime 100% php 8.3.30
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mechanism 100% generic
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ID: 2dc71891
a day ago
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Context
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
level
error
transaction
--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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Client
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correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release
884981
884981
runtime
php 8.3.30
name
php
server_name
815790036d37
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Geography
Columbus, United States (US)
Runtime
Name
php
sapi
cli
Version
8.3.30
Operating System
Build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
Kernel Version
Linux 815790036d37 6.1.164-196.303.amzn2023.aarch64 #1 SMP Fri Mar 6 16:11:04 UTC 2026 aarch64
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5147382613816908160
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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0
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
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error
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--
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--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
Show 1 more frame
/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
Show 14 more frames
/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
Show 17 more frames
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All
All
Custom
Custom
Application
Application
Client
Client
Other
Other
correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release
884981
884981
runtime
php 8.3.30
name
php
server_name
815790036d37
Collapse Contexts Section
Contexts
User
Geography
Columbus, United States (US)
Runtime
Name
php
sapi
cli
Version
8.3.30
Operating System
Build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
Kernel Version
Linux 815790036d37 6.1.164-196.303.amzn2023.aarch64 #1 SMP Fri Mar 6 16:11:04 UTC 2026 aarch64
Name...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
32621
|
1251
|
44
|
2026-05-13T09:30:19.655739+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664619655_m2.jpg...
|
Firefox
|
TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
|
1
|
jiminny.sentry.io/issues/6873095751/?environment=p jiminny.sentry.io/issues/6873095751/?environment=production-eu&environment=production&project=82419&query=is%3Aunresolved&referrer=issue-stream&sort=freq...
|
monitor_2
|
NULL
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NULL
|
NULL
|
NULL
|
[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Close tab
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Users (90d)
Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
2.4K
0
Resolved
/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
production-eu, production
production-eu, production
90D
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0
release 13% 881233
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13%
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environment 100% production
environment
100%
production
runtime 100% php 8.3.30
runtime
100%
php 8.3.30
mechanism 100% generic
mechanism
100%
generic
View all tags
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a day ago
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Context
php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
Collapse Highlights Section
Highlights
Edit
Edit
handled
yes
level
error
transaction
--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
Copy file path
Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
Show 14 more frames
/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
Show 17 more frames
Collapse Trace Preview Section
Trace Preview
View Full Trace
View Full Trace
Collapse Section
Tags
All
All
Custom
Custom
Application
Application
Client
Client
Other
Other
correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release...
|
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6.1.164-196.303.amzn2023.aarch64","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"build","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"#1 SMP Fri Mar 6 16:11:04 UTC 2026","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Linux","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"region","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"us-east-2","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"release","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
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|
visual_change
|
accessibility
|
NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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mechanism 100% generic
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ID: 2dc71891
a day ago
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
level
error
transaction
--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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Application
Client
Client
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correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release...
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32620
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32622
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1250
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28
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2026-05-13T09:30:20.982002+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664620982_m1.jpg...
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Firefox
|
Screenpipe — Archive — Personal
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1
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app.screenpipe.lakylak.xyz
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monitor_1
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
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Manage extra usage for paid Claude plans | Claude Help Center
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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[archive.db · 763MB]
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AUDIO TRANSCRIPTIONS...
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Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"bounds":{"left":0.0,"top":0.21333334,"width":0.11666667,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.0,"top":0.29833335,"width":0.003125,"height":0.022777777},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", but it helps to understand how ScreenPipe handles language natively first.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Transcription Engine Handles Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Transcription Engine Handles Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"multilingual Whisper model","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and sets the language configuration to","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-Detect","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Advantage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Drawback:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How to Force a Specific Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to Force a Specific Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are using the Desktop App UI:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open the ScreenPipe settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Navigate to the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI/Transcription","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"section.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Look for the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Transcription Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"dropdown.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Change it from \"Auto\" to your specific language (e.g., English, Bulgarian, or Slovak).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are running ScreenPipe via CLI/Config:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can modify your underlying configuration (usually found in","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/pipe.json","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Slovak)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Bulgarian)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(English)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good 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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
Screenpipe
[archive.db · 763MB]
Activity
Search
Audio
Work Report
Timetable
AI Summary
Date
12
/
05
/
2026
Calendar
AUDIO TRANSCRIPTIONS...
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2026-05-13T09:30:20.981984+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664620981_m2.jpg...
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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monitor_2
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Claude
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
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Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
Good response
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Copy
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Copy prompt
Edit
You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
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SQLite Web: archive.db
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Share and export
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. 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Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. 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The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. 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The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", but it helps to understand how ScreenPipe handles language natively first.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Transcription Engine Handles Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Transcription Engine Handles Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"multilingual Whisper model","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and sets the language configuration to","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-Detect","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Advantage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Drawback:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. 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Screenpipe — Archive
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SQLite Web: db.sqlite
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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[archive.db · 763MB]
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Screenpipe — Archive
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Share and export
Copy
Show more options
Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
Good response
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Edit
You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. 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If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Screenpipe — Archive — Personal
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Screenpipe — Archive
Screenpipe — Archive
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SQLite Web: archive.db
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
|
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Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. 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(Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"bounds":{"left":0.0,"top":0.21333334,"width":0.11666667,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.0,"top":0.29833335,"width":0.003125,"height":0.022777777},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
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Screenpipe — Archive
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Claude
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
Screenpipe
[archive.db · 763MB]
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Date
12
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05
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2026
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AUDIO TRANSCRIPTIONS
09:28
MIC
That's it.
09:32
MIC
And now...
09:32
MIC
Thank you.
09:33
MIC
Beijing
09:33
MIC
causing concentreras.
09:35
MIC
you
09:40
MIC
I'm gonna use the handkerchief to make sure that the handkerchief is not too thick.
09:43
MIC
I'm not gonna say that. I'm gonna say that.
09:44
MIC
Thank you.
09:45
SYS
Let's hear. Do you want to run? Run.
09:46
SYS
I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.
09:46
SYS
So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.
09:47
SYS
You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.
09:47
SYS
I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.
09:48
SYS
Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.
09:48
SYS
I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.
09:49
SYS
From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.
09:49
SYS
And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.
09:50
SYS
I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.
09:50
SYS
That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.
09:51
SYS
I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team....
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. 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Do you want to run? Run.","depth":10,"bounds":{"left":0.48553857,"top":0.39584997,"width":0.07762633,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:46","depth":10,"bounds":{"left":0.4582779,"top":0.42418197,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.4273743,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.","depth":10,"bounds":{"left":0.48553857,"top":0.424581,"width":0.19763963,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:46","depth":10,"bounds":{"left":0.4582779,"top":0.45291302,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.45610535,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.","depth":10,"bounds":{"left":0.48553857,"top":0.45331204,"width":0.3799867,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:47","depth":10,"bounds":{"left":0.4582779,"top":0.49840382,"width":0.010305851,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.47357047,"top":0.50159615,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.","depth":10,"bounds":{"left":0.48537233,"top":0.49880287,"width":0.3793218,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:47","depth":10,"bounds":{"left":0.4582779,"top":0.54389465,"width":0.010305851,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.47357047,"top":0.547087,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.","depth":10,"bounds":{"left":0.48537233,"top":0.5442937,"width":0.37799203,"height":0.04708699},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:48","depth":10,"bounds":{"left":0.4582779,"top":0.60614526,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.60933757,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.","depth":10,"bounds":{"left":0.48553857,"top":0.6065443,"width":0.3465758,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:48","depth":10,"bounds":{"left":0.4582779,"top":0.6348763,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.6380686,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.","depth":10,"bounds":{"left":0.48553857,"top":0.63527536,"width":0.36353058,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:49","depth":10,"bounds":{"left":0.4582779,"top":0.66360736,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.66679966,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.","depth":10,"bounds":{"left":0.48553857,"top":0.6640064,"width":0.36901596,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:49","depth":10,"bounds":{"left":0.4582779,"top":0.70909816,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7122905,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.","depth":10,"bounds":{"left":0.48553857,"top":0.7094972,"width":0.3715093,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:50","depth":10,"bounds":{"left":0.4582779,"top":0.7378292,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7410216,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.","depth":10,"bounds":{"left":0.48553857,"top":0.73822826,"width":0.37965426,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:50","depth":10,"bounds":{"left":0.4582779,"top":0.78332,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7865124,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.","depth":10,"bounds":{"left":0.48553857,"top":0.78371906,"width":0.3799867,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:51","depth":10,"bounds":{"left":0.4582779,"top":0.8288109,"width":0.009807181,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4730718,"top":0.8320032,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team.","depth":10,"bounds":{"left":0.48487368,"top":0.8292099,"width":0.2940492,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Screenpipe — Archive
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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Activity
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Audio
Work Report
Timetable
AI Summary
Date
12
/
05
/
2026
Calendar
AUDIO TRANSCRIPTIONS
09:28
MIC
That's it.
09:32
MIC
And now...
09:32
MIC
Thank you.
09:33
MIC
Beijing
09:33
MIC
causing concentreras.
09:35
MIC
you
09:40
MIC
I'm gonna use the handkerchief to make sure that the handkerchief is not too thick.
09:43
MIC
I'm not gonna say that. I'm gonna say that.
09:44
MIC
Thank you.
09:45
SYS
Let's hear. Do you want to run? Run.
09:46
SYS
I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.
09:46
SYS
So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.
09:47
SYS
You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.
09:47
SYS
I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.
09:48
SYS
Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.
09:48
SYS
I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.
09:49
SYS
From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.
09:49
SYS
And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.
09:50
SYS
I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.
09:50
SYS
That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.
09:51
SYS
I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team....
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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Screenpipe — Archive
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All docs Screenpipe — Archive
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SQLite Web: archive.db
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure...
|
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. 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Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"}]...
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8447803732177613601
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9138139058697067159
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click
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accessibility
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
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Close Google Gemini (⌃X)
Open history (⇧⌘H)
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure...
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2026-05-13T09:30:30.175209+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664630175_m2.jpg...
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Firefox
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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monitor_2
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
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Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Gemini
New chat
Share conversation
Open menu for conversation actions.
Conversation with Gemini
Conversation with Gemini
Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:...
|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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click
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accessibility
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
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DXP4800PLUS-B5F8
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SQLite Web: archive.db
SQLite Web: archive.db
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
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Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664631092_m1.jpg...
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
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DXP4800PLUS-B5F8
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SQLite Web: archive.db
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
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Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Gemini
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Share conversation
Open menu for conversation actions.
Conversation with Gemini
Conversation with Gemini
Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer...
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer...
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Screenpipe — Archive — Personal
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel....
|
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_selected":false}]...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Screenpipe — Archive
Screenpipe — Archive
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel....
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664632149_m2.jpg...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:31@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:31@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zs SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)О 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS ‹ 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4 → NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4 NAS + 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityFilesLaterMoreJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan Georgievo Petko Kashinski. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...l:: AppsJira CloudToastSupport Daily - in 2h 30 m100% <78•Wed 13 May12:30:33Describe what you are looking forNikolay Ivanov6 0MessagesAdd canvas@ Files+Lukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerMessage Nikolay Ivanov...
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zs SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)О 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS ‹ 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4 → NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4 NAS + 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityFilesLaterMoreJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan Georgievo Petko Kashinski. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...l:: AppsJira CloudToastSupport Daily - in 2h 30 m100% <78•Wed 13 May12:30:33Describe what you are looking forNikolay Ivanov6 0MessagesAdd canvas@ Files+Lukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerMessage Nikolay Ivanov...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664633403_m2.jpg...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:32@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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-898638412247551678
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click
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ocr
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:32@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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2026-05-13T09:30:35.083819+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664635083_m1.jpg...
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Alfred
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"do","depth":1,"bounds":{"left":0.26180556,"top":0.16777778,"width":0.4763889,"height":0.05888889},"on_screen":true,"value":"do","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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do
iTerm2ShellEditViewSessionDOCKER$81T1DOCKER (-z do
iTerm2ShellEditViewSessionDOCKER$81T1DOCKER (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file iocker or its parentsPoetry could not find a pyproject.toml fileocker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyScriptsProfilesWindowHelpDEV (-zsh)O $2Support Daily - in 2h 30 mDOCKER (-zsh)APP (-zsh)*3-zshPROD (-zsh)Last login:Tue May 12 17:54:40 on consoledo*4in /Users/lukas or its parentsin /Users/lukas or its parents100% (C48• Wed 13 May 12:30:34screenpipe"T81О 85PRODPSPSPSPSPSDocker.app/Applications/Docker.appGoogle Docs.app282/Applications/Google Docs.appDocs.app283/Users/lukas/Applications/Chrome Apps.localized/Docs.appDesktop & Dock984System Settings → Desktop & DockVirtualInterfaceWithCall.php285~/jiminny/app/vendor/symfony/error-handler/Tests/Fixtures/VirtualInterfaceWithCall.phpweb.php286-/jiminny/app/routes/web.phpWorker.php$7-/jiminny/app/app/Queue/Worker/Worker.phpWebhookController.php488-/jiminny/app/app/Http/Controllers/Telephony/TextMessaging/WebhookController.phpNudgeExpirationWarningNotificationTest.php489~/jiminny/app/tests/Unit/Notifications/NudgeExpirationWarningNotificationTest.phpL6 FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001in /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsn/Users/lukas or its parentsSTAGEPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parents<as@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|...
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2026-05-13T09:30:38.089150+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664638089_m1.jpg...
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iTerm2
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DOCKER (-zsh)
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Last login: Tue May 12 17:54:40 on console
Poetry Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
⌥1 DOCKER (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥2 PROD (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥3 EU (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥4 STAGE (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
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Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
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Last login: Tue May 12 20:12:05 on ttys005
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
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Last login: Tue May 12 17:54:40 on console
Poetry Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
⌥1 DOCKER (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥2 PROD (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥3 EU (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥4 STAGE (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥5 QA (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥6 FE (-zsh)
Last login: Tue May 12 20:12:05 on ttys005
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥7 EXT (-zsh)
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Close Tab
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Close Tab
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screenpipe"
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DOCKER (-zsh)...
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2026-05-13T09:30:38.842651+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664638842_m1.jpg...
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Firefox
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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iTerm2ShelllEditViewSessionScriptsProfilesWindowHe iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpDOCKER081DEV (-zsh)О 882DOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)APP (-zsh)>0.la6l§ Support Daily • in 2h 30 m*3-zshPROD (-zsh)Last login: Tue May 12 17:54:40 on console84100% (C48•Wed 13 May12:30:38T81screenpipe"О 85Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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iTerm2ShelllEditViewSessionScriptsProfilesWindowHe iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpDOCKER081DEV (-zsh)О 882DOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)APP (-zsh)>0.la6l§ Support Daily • in 2h 30 m*3-zshPROD (-zsh)Last login: Tue May 12 17:54:40 on console84100% (C48•Wed 13 May12:30:38T81screenpipe"О 85Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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jiminny/app/backend-code - Vanta — Work
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €€ Networ!• Orange• Red• Yellow• Greer• Purple• All Tags.data0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Micro(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mid(input)_2026-05-12_18-32-56.mр4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4>0.support Dally - In 2h 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in pap/backend-code - Ve X2. NVD - cve-2026-6722(JY-20773] User Pilot not receivin• JY-19957 | Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypezrroгI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% S2wea 13 May 12-30•30@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas Kovalik8 Assigned20 hours agoby Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €€ Networ!• Orange• Red• Yellow• Greer• Purple• All Tags.data0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Micro(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mid(input)_2026-05-12_18-32-56.mр4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4>0.support Dally - In 2h 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in pap/backend-code - Ve X2. NVD - cve-2026-6722(JY-20773] User Pilot not receivin• JY-19957 | Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypezrroгI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% S2wea 13 May 12-30•30@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas Kovalik8 Assigned20 hours agoby Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKER081DEV (-zsh)О 882X MDOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)|APP (-zsh)0§ Support Daily • in 2h 30 mA100% <78• Wed 13 May12:30:40-zsh84screenpipe"PROD (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4 STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001181О ₴5PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKER081DEV (-zsh)О 882X MDOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)|APP (-zsh)0§ Support Daily • in 2h 30 mA100% <78• Wed 13 May12:30:40-zsh84screenpipe"PROD (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4 STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001181О ₴5PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664642117_m2.jpg...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
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php/php:8.3.30
8 vulnerabilities
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glibc:2.36
6 vulnerabilities
8.4
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dpkg:1.21.22
2 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
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python3.11:3.11.2
7 vulnerabilities
7.5
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nghttp2:1.52.0
CVE-2026-27135...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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CVE-2026-27135...
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NULL
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55
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2026-05-13T09:30:45.115826+00:00
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
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CVE-2026-4878
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CVE-2023-28155
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765
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CVE-2026-24765
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phpunit/phpunit:4.4.2
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python3.11:3.11.2
7 vulnerabilities
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
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libde265:1.0.11
2 vulnerabilities
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High
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lcms2:2.14
CVE-2026-41254
7.5
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libcap2:2.66
CVE-2026-4878
7
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systemd:252.39
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libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
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curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
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jq:1.6
4 vulnerabilities
6.2
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Due in about 1 month
Select row 20
request:2.88.2
CVE-2023-28155
6.1...
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39
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2026-05-13T09:30:49.260595+00:00
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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php/php:8.3.30
8 vulnerabilities
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Critical
Due in 14 days
Select row 3
glibc:2.36
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dpkg:1.21.22
2 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
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python3.11:3.11.2
7 vulnerabilities
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High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
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Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
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Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
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systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
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libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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python3.11:3.11.2
7 vulnerabilities
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
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libde265:1.0.11
2 vulnerabilities
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lcms2:2.14
CVE-2026-41254
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CVE-2026-4878
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systemd:252.39
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libgcrypt20:1.10.1
CVE-2026-41989
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curl:7.88.1...
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2026-05-13T09:30:49.289695+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664649289_m2.jpg...
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_2
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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php/php:8.3.30
8 vulnerabilities
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Critical
Due in 14 days
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2 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
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Due in 30 days
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python3.11:3.11.2...
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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339 vulnerabilities
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8 vulnerabilities
—
Critical
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glibc:2.36
6 vulnerabilities
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CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
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phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
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phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
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phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
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2026-05-13T09:30:51.056419+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664651056_m2.jpg...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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2026-05-13T09:30:51.759534+00:00
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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8490365038031343395
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-1495448166531221226
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
nvd.nist.gov/vuln/detail/cve-2026-24765
nvd.nist.gov/vuln/detail/cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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NULL
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NULL
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NULL
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NULL
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32650
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1251
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60
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2026-05-13T09:30:54.801353+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664654801_m2.jpg...
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NVD - cve-2026-24765 — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-24765
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monitor_2
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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Change History
Change History
3 change records found
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QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
11.5.50
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
12.0.0
Up to (excluding)
12.5.8
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
From (including)
9.0.0
From (including)
10.0.0
From (including)
11.0.0
From (including)
12.0.0
Up to (excluding)
9.6.33
Up to (excluding)
10.5.62
Up to (excluding)
11.5.50
Up to (excluding)
12.5.8
Configuration 2
(
hide
hide
)
cpe:2.3:o:debian:debian_linux:11.0:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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32651
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61
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2026-05-13T09:31:00.831349+00:00
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1
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nvd.nist.gov/vuln/detail/cve-2026-24765
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Information Technology Laboratory
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VULNERABILITIES
VULNERABILITIES
CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
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hide
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*...
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1096830243403808647
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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VULNERABILITIES
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*...
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32652
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2026-05-13T09:31:03.834899+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664663834_m2.jpg...
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Firefox
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NVD - cve-2026-24765 — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-24765
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monitor_2
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
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Up to (excluding)
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
12.0.0
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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Up to (excluding)
8.5.52
From (including)
9.0.0
From (including)
10.0.0
From (including)
11.0.0
From (including)
12.0.0
Up to (excluding)
9.6.33
Up to (excluding)
10.5.62
Up to (excluding)
11.5.50
Up to (excluding)
12.5.8
Configuration 2
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cpe:2.3:o:debian:debian_linux:11.0:*:*:*:*:*:*:*
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Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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1101532207570662533
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-2437246228691600350
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visual_change
|
accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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Source(s)
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https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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11.5.50
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Change History
Change History
3 change records found
show changes
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QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
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cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
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Up to (excluding)
9.6.33
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11.5.50
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12.5.8
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Are we missing a CPE here? Please let us know
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Change History
Change History
3 change records found
show changes
show changes...
|
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CPE(s)","depth":19,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show Matching CPE(s)","depth":20,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Denotes Vulnerable Software","depth":15,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Are we missing a CPE here? Please let us know","depth":15,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Are we missing a CPE here? Please let us know","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":15,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Change History","depth":15,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Change History","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3 change records found","depth":15,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"show changes","depth":15,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"show changes","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
772036625570975487
|
-4743370721468269406
|
click
|
accessibility
|
NULL
|
[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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VULNERABILITIES
CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
11.5.50
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
12.0.0
Up to (excluding)
12.5.8
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
From (including)
9.0.0
From (including)
10.0.0
From (including)
11.0.0
From (including)
12.0.0
Up to (excluding)
9.6.33
Up to (excluding)
10.5.62
Up to (excluding)
11.5.50
Up to (excluding)
12.5.8
Configuration 2
(
hide
hide
)
cpe:2.3:o:debian:debian_linux:11.0:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
3 change records found
show changes
show changes...
|
32647
|
NULL
|
NULL
|
NULL
|
|
32654
|
1251
|
63
|
2026-05-13T09:31:05.729267+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664665729_m2.jpg...
|
Firefox
|
NVD - cve-2026-24765 — Work
|
1
|
nvd.nist.gov/vuln/detail/cve-2026-24765
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Tabs from other devices
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NATIONAL VULNERABILITY DATABASE
NATIONAL VULNERABILITY DATABASE
NATIONAL VULNERABILITY DATABASE
VULNERABILITIES
VULNERABILITIES
CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
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)
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(excluding)","depth":19,"bounds":{"left":0.63513964,"top":0.28052673,"width":0.040059842,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"10.5.62","depth":19,"bounds":{"left":0.63513964,"top":0.30007982,"width":0.017287234,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.4296875,"top":0.32322428,"width":0.005319149,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*","depth":19,"bounds":{"left":0.43500665,"top":0.3216281,"width":0.11402926,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Show Matching CPE(s)","depth":19,"bounds":{"left":0.43284574,"top":0.34317636,"width":0.045711435,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show Matching CPE(s)","depth":20,"bounds":{"left":0.43284574,"top":0.34317636,"width":0.04288564,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.47573137,"top":0.34397447,"width":0.0028257978,"height":0.011971269},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"From 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(excluding)","depth":19,"bounds":{"left":0.63513964,"top":0.3216281,"width":0.040059842,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"11.5.50","depth":19,"bounds":{"left":0.63513964,"top":0.34118116,"width":0.017287234,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.4296875,"top":0.3643256,"width":0.005319149,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*","depth":19,"bounds":{"left":0.43500665,"top":0.36272946,"width":0.11402926,"height":0.017557861},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Show Matching CPE(s)","depth":19,"bounds":{"left":0.43284574,"top":0.38427773,"width":0.045711435,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show Matching CPE(s)","depth":20,"bounds":{"left":0.43284574,"top":0.38427773,"width":0.04288564,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.47573137,"top":0.3850758,"width":0.0028257978,"height":0.011971269},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
-6187986391341922389
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-2433005974962456414
|
click
|
accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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An official website of the United States government
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Here's how you know
National Institute of Standards and Technology
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NVD
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Information Technology Laboratory
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NATIONAL VULNERABILITY DATABASE
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VULNERABILITIES
VULNERABILITIES
CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
11.5.50
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
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32655
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1250
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42
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2026-05-13T09:31:06.918801+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664666918_m1.jpg...
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Firefox
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NVD - cve-2026-24765 — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_1
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NULL
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NULL
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NULL
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NULL
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NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgra NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
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A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Metrics","depth":15,"on_screen":false,"help_text":"CVSS is not a measure of risk","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Metrics","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"CVSS Version 4.0","depth":16,"on_screen":false,"help_text":"Click here to view CVSS 4.0 data","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"CVSS Version 3.x","depth":16,"on_screen":false,"help_text":"Click here to view CVSS 3.x data","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"CVSS Version 2.0","depth":16,"on_screen":false,"help_text":"Click here to view CVSS 2.0 data","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"NVD enrichment efforts reference publicly available information to associate vector strings. 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We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"nvd@nist.gov","depth":16,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"nvd@nist.gov","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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click
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accessibility
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NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgra NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
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[EMAIL]
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1251
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2026-05-13T09:31:06.892491+00:00
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NVD - cve-2026-24765 — Work
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgra NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes...
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This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. 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We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"nvd@nist.gov","depth":16,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"nvd@nist.gov","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Source(s)","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Tag(s)","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda","depth":18,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GitHub, Inc.","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Patch","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63","depth":18,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GitHub, Inc.","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Release Notes","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50","depth":18,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GitHub, Inc.","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Release Notes","depth":19,"on_screen":false,"subrole":"AXUnknown"}]...
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3904508517894822696
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-2436876393407725790
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click
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accessibility
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NULL
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NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgra NVD - cve-2026-24765
nvd.nist.gov
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
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NVD - cve-2026-24765
NVD - cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes...
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32657
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65
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2026-05-13T09:31:09.884869+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664669884_m2.jpg...
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_2
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Select row 1
linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities...
|
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in 30 days","depth":14,"bounds":{"left":0.9090758,"top":0.9074222,"width":0.03357713,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Select row 16","depth":14,"bounds":{"left":0.47124335,"top":0.9489226,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"checkbox","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"systemd:252.39","depth":13,"bounds":{"left":0.4872008,"top":0.95211494,"width":0.036070477,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4 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19","depth":14,"bounds":{"left":0.47124335,"top":1.0,"width":0.004654255,"height":-0.08300078},"on_screen":false,"help_text":"","role_description":"checkbox","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"jq:1.6","depth":13,"bounds":{"left":0.4872008,"top":1.0,"width":0.011635638,"height":-0.086193085},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4 vulnerabilities","depth":13,"bounds":{"left":0.71575797,"top":1.0,"width":0.03474069,"height":-0.086193085},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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1254949899591961330
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8772231274118494870
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities...
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NULL
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NULL
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NULL
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NULL
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32658
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1251
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66
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2026-05-13T09:31:12.904107+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664672904_m2.jpg...
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_2
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Select row 1
linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
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dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
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phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
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phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
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phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
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phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
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phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
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python3.11:3.11.2
7 vulnerabilities
7.5
High
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nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
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libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
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libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
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lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
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libcap2:2.66
CVE-2026-4878
7
High
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systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
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libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
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curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
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jq:1.6
4 vulnerabilities
6.2
Medium
Due in about 1 month
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request:2.88.2
CVE-2023-28155
6.1
Medium
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22
phpunit/phpunit:9.6.8
phpunit/phpunit:8.5.21
phpunit/phpunit:5.7.27
phpunit/phpunit:4.8.36
phpunit/phpunit:4.4.2
python3.11:3.11.2
nghttp2:1.52.0
libxml2:2.9.14+dfsg...
|
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8771105374144543382
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visual_change
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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339 vulnerabilities
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8 vulnerabilities
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python3.11:3.11.2
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
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libde265:1.0.11
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lcms2:2.14
CVE-2026-41254
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CVE-2026-4878
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CVE-2026-41989
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jq:1.6
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22
phpunit/phpunit:9.6.8
phpunit/phpunit:8.5.21
phpunit/phpunit:5.7.27
phpunit/phpunit:4.8.36
phpunit/phpunit:4.4.2
python3.11:3.11.2
nghttp2:1.52.0
libxml2:2.9.14+dfsg...
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32657
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NULL
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NULL
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NULL
|
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32659
|
1251
|
67
|
2026-05-13T09:31:15.939610+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664675939_m2.jpg...
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Firefox
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
|
monitor_2
|
NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
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Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
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Critical
Due in 14 days
Select row 3
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6 vulnerabilities
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dpkg:1.21.22
2 vulnerabilities
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Due in 30 days
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phpunit/phpunit:9.6.8
CVE-2026-24765
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High
Due in 30 days
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phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
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phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
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phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities
6.2
Medium
Due in about 1 month
Select row 20
request:2.88.2
CVE-2023-28155
6.1
Medium
Due in about 1 month
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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PACKAGE
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Select row 1
linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
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CVE-2026-41989
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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python3.11:3.11.2...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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glibc:2.36
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CVE-2026-24765
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CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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Due in 30 days
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phpunit/phpunit:4.8.36
CVE-2026-24765
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Due in 30 days
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phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
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systemd:252.39
4 vulnerabilities
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libgcrypt20:1.10.1
CVE-2026-41989
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jq:1.6
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request:2.88.2
CVE-2023-28155
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8772231274118486678
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click
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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339 vulnerabilities
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Critical
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8 vulnerabilities
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Critical
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glibc:2.36
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2 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
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python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
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systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities
6.2
Medium
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request:2.88.2
CVE-2023-28155
6.1
Medium
Due in about 1 month
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Select row 1
Select row 2...
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32655
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NULL
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NULL
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NULL
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32662
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1250
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44
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2026-05-13T09:31:20.369082+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664680369_m1.jpg...
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jiminny/app/backend-code - Vanta — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-24765
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monitor_1
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Select row 1
linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
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libde265:1.0.11
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765
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CVE-2026-24765
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CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
7.8...
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3619450855490827213
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click
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accessibility
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
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php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
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Select row 4
dpkg:1.21.22
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phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
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CVE-2026-24765
7.8
High
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Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
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Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8...
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1251
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70
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2026-05-13T09:31:21.993022+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664681993_m2.jpg...
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NVD - cve-2026-24765 — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-24765
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monitor_2
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
11.5.50
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
12.0.0
Up to (excluding)
12.5.8
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
From (including)
9.0.0
From (including)
10.0.0
From (including)
11.0.0
From (including)
12.0.0
Up to (excluding)
9.6.33
Up to (excluding)
10.5.62
Up to (excluding)
11.5.50
Up to (excluding)
12.5.8
Configuration 2
(
hide
hide
)
cpe:2.3:o:debian:debian_linux:11.0:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-24765
NVD - cve-2026-24765
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
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https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
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CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
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Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
Close tab
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
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Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-24765
NVD - cve-2026-24765
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765 Detail
CVE-2026-24765
Detail
Description
Description
PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
N/A
NVD assessment not yet provided.
CNA:
GitHub, Inc.
Base Score:
7.8 HIGH
7.8 HIGH
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
GitHub, Inc.
Patch
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
GitHub, Inc.
Release Notes
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
GitHub, Inc.
Mitigation
Vendor Advisory
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
CVE
Mailing List
Third Party Advisory
URL
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/commit/3141742e00620e2968d3d2e732d320de76685fda
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/10.5.63
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/11.5.50
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/12.5.8
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/8.5.52
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/releases/tag/9.6.33
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://github.com/sebastianbergmann/phpunit/security/advisories/GHSA-vvj3-c3rp-c85p
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
https://lists.debian.org/debian-lts-announce/2026/02/msg00009.html
Source(s)
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
GitHub, Inc.
CVE
Tag(s)
Patch
Release Notes
Release Notes
Release Notes
Release Notes
Release Notes
Mitigation
Vendor Advisory
Mailing List
Third Party Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-502
CWE-502
Deserialization of Untrusted Data
GitHub, Inc.
CWE-ID
CWE-502
CWE-502
CWE Name
Deserialization of Untrusted Data
Source
GitHub, Inc.
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
9.0.0
Up to (excluding)
9.6.33
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
10.0.0
Up to (excluding)
10.5.62
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
11.0.0
Up to (excluding)
11.5.50
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
12.0.0
Up to (excluding)
12.5.8
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:phpunit_project:phpunit:*:*:*:*:*:-:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Up to (excluding)
8.5.52
From (including)
9.0.0
From (including)
10.0.0
From (including)
11.0.0
From (including)
12.0.0
Up to (excluding)
9.6.33
Up to (excluding)
10.5.62
Up to (excluding)
11.5.50
Up to (excluding)
12.5.8
Configuration 2
(
hide
hide
)
cpe:2.3:o:debian:debian_linux:11.0:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
3 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-24765
CVE-2026-24765
NVD Published Date:
01/27/2026
NVD Last Modified:
03/03/2026
Source:
GitHub, Inc.
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