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Advisory record · GHSA-w23x-9jrw-r45c

pypdf: Possible large memory usage when retrieving alphabetical page labels

CVSS 8.7 HighEPSS 0.0035 · 29th percentile

Published by the GitHub Advisory Database at 1 Oct 2026, 15:07 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
pypdfPyPI<6.19.06.19.0
Identifiers
GHSA-w23x-9jrw-r45c · CVE-2026-103000 · PYSEC-2026-4160
Weakness (CWE)
CWE-400
Tags
Published
1 Oct 2026
Updated
1 Oct 2026

Machine-written summary

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

pypdf versions before 6.19.0 are vulnerable to excessive memory use when retrieving alphabetical page labels. An attacker can supply a crafted PDF with large alphabetical labels, and accessing its page labels causes large memory consumption. Upgrade to pypdf 6.19.0 or later.

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
8.7 High 4.0 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/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. 30 Sept 2026, 21:17 UTC Confirmed by NVD
  2. 31 Oct 2026, 14:09 UTC First seen by agentprime
  3. 31 Oct 2026, 14:09 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.