CVE-2026-113795

— UNSCOREDpublic exploit available

Published 2026-10-21 · Updated 2026-10-22

AI analysis for this CVE has not been generated yet. Raw NVD data is shown below.

NVD description

pypdf is a free and open-source pure-python PDF library. Prior to 6.20.0, accessing a crafted PDF stream with a large number of filters or multiple filters that pass around large amounts of data can cause large memory consumption. This issue is fixed in version 6.20.0.

Weaknesses

CWE-400, CWE-770

Public exploit & PoC references

https://github.com/py-pdf/pypdf/commit/80a84d4be6022d910874ccb0d2365400f3f0e185
https://github.com/py-pdf/pypdf/pull/4173
https://github.com/py-pdf/pypdf/releases/tag/6.20.0
https://github.com/py-pdf/pypdf/security/advisories/GHSA-7mh2-4gg2-979f

All references

https://github.com/py-pdf/pypdf/commit/80a84d4be6022d910874ccb0d2365400f3f0e185
https://github.com/py-pdf/pypdf/pull/4173
https://github.com/py-pdf/pypdf/releases/tag/6.20.0
https://github.com/py-pdf/pypdf/security/advisories/GHSA-7mh2-4gg2-979f

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.

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