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Advisory record · GHSA-7mh2-4gg2-979f

pypdf: Possible large memory usage for streams with multiple filters

CVSS 6.0 MediumEPSS 0.0035 · 29th percentile

Published by the GitHub Advisory Database at 21 Oct 2026, 16:48 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
pypdfPyPI<6.20.06.20.0
Identifiers
GHSA-7mh2-4gg2-979f · CVE-2026-113795
Weakness (CWE)
CWE-400 · CWE-770
Tags
Published
21 Oct 2026
Updated
21 Oct 2026

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

pypdf versions before 6.20.0 are vulnerable to excessive memory consumption when processing a PDF stream that has a large number of filters, or multiple filters that pass large amounts of data. An attacker who can supply a crafted PDF for the library to read can cause high memory use. Upgrade to pypdf 6.20.0 or later. The source gives no workaround beyond applying an unreleased code change, so upgrading is the fix.

Written 1 Nov 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

ScoreRatingCVSSVectorSource
6.0 Medium 4.0 CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N CNA (GitHub_M)
  • CISA KEV Not listed.
  • EPSS 0.0035, the 29th percentile, on 8 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

  1. 21 Oct 2026, 16:17 UTC Confirmed by NVD
  2. 31 Oct 2026, 14:08 UTC First seen by agentprime
  3. 31 Oct 2026, 14:08 UTC Confirmed by OSV

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.