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Advisory record · GHSA-5qjq-93h5-hrgp

pypdf: Possible large memory usage for wrong image dimensions

CVSS 6.9 MediumEPSS 0.0052 · 44th percentile

Published by the GitHub Advisory Database at 23 Jul 2026, 15:06 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
pypdfPyPI<6.14.06.14.0
Identifiers
GHSA-5qjq-93h5-hrgp · CVE-2026-59938 · PYSEC-2026-3611
Weakness (CWE)
CWE-789
Tags
Published
23 Jul 2026
Updated
10 Sept 2026

Machine-written summary

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

pypdf versions before 6.14.0 are vulnerable to excessive memory use when processing a PDF containing images whose declared dimensions are much larger than their actual data. An attacker who can get a crafted PDF loaded by the library can cause large memory consumption. Upgrade to pypdf 6.14.0 or later. The source gives no other workaround that a user can apply directly.

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
6.9 Medium 4.0 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N CNA (GitHub_M)
  • CISA KEV Not listed.
  • EPSS 0.0052, the 44th percentile, on 14 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

  1. 8 Jul 2026, 18:16 UTC Confirmed by NVD
  2. 31 Oct 2026, 14:11 UTC First seen by agentprime
  3. 31 Oct 2026, 14:11 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.