Résumé
pypdf: Possible long runtimes/large memory usage when parsing indirect objects
Détails de l’avis
Impact
An attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires reading a PDF document with long indirect object headers, not terminated by whitespace.
Patches
This has been fixed in pypdf==6.18.0.
Workarounds
If you cannot upgrade yet, consider applying the changes from PR #4055.
Références
- https://github.com/advisories/GHSA-5jq2-8x83-x246
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-5jq2-8x83-x246
- https://nvd.nist.gov/vuln/detail/CVE-2026-102994
- https://github.com/py-pdf/pypdf/pull/4055
- https://github.com/py-pdf/pypdf/commit/82501d2993c6387833c4949d205caeb188f8bb9e
- https://github.com/py-pdf/pypdf/releases/tag/6.18.0
Vulnérabilités liées
Tout Supply chain →- MEDIUMCVE-2026-95838
containerd: Unpack DoS via repeated opaque whiteouts
- MEDIUMCVE-2026-107287
Pydantic AI: Excessive resource use when local web fetching converts nested HTML
- MEDIUMCVE-2026-104844
PostCSS: Quadratic complexity in flat selector parsing allows CPU exhaustion
- MEDIUMGHSA-hx4r-w6wj-j8fg
devalue: Residual sparse-array CPU amplification in uneval
- HIGHCVE-2026-102999
pypdf: Possible long runtimes with large amount of embedded files
- HIGHCVE-2026-102997
pypdf: Possible long runtimes for partially malformed FlateDecode streams (Follow-up)