### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. ### Patches This has been fixed in [pypdf==6.12.1](https://github.com/py-pdf/pypdf/releases/tag/6.12.1). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3796](https://github.com/py-pdf/pypdf/pull/3796).
Update pypdf to 6.12.1 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanpypdf: Manipulated XMP metadata streams can exhaust RAM affects pypdf (pip). Severity is medium. ### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. ### Patches This has been fixed in [pypdf==6.12.1](https://github.com/py-pdf/pypdf/releases/tag/6.12.1). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3796](https://github.com/py-pdf/pypdf/pull/3796).
AI coding agents often install or upgrade packages automatically in pip. A medium vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| pypdfpip | <6.12.1 | 6.12.1 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. ### Patches This has been fixed in [pypdf==6.12.1](https://github.com/py-pdf/pypdf/releases/tag/6.12.1). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3796](https://github.com/py-pdf/pypdf/pull/3796).
Update pypdf to 6.12.1 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanpypdf: Manipulated XMP metadata streams can exhaust RAM affects pypdf (pip). Severity is medium. ### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. ### Patches This has been fixed in [pypdf==6.12.1](https://github.com/py-pdf/pypdf/releases/tag/6.12.1). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3796](https://github.com/py-pdf/pypdf/pull/3796).
AI coding agents often install or upgrade packages automatically in pip. A medium vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| pypdfpip | <6.12.1 | 6.12.1 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL GuardReported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard