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  5. CVE-2026-119209

CVE-2026-119209: pypdf has possible large memory usage when parsing cross-reference streams

October 30, 2026

An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires opening a file with cross-reference streams.

References

  • github.com/advisories/GHSA-x3rh-gjgm-fmqc
  • github.com/py-pdf/pypdf/commit/a93fe3a901fd00af38f0a105c3ba7175fa72dcb4
  • github.com/py-pdf/pypdf/pull/4269
  • github.com/py-pdf/pypdf/releases/tag/6.21.3
  • github.com/py-pdf/pypdf/security/advisories/GHSA-x3rh-gjgm-fmqc
  • nvd.nist.gov/vuln/detail/CVE-2026-119209

Code Behaviors & Features

Detect and mitigate CVE-2026-119209 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →

Affected versions

All versions before 6.21.3

Fixed versions

  • 6.21.3

Solution

Upgrade to version 6.21.3 or above.

Impact 6.5 MEDIUM

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-400: Uncontrolled Resource Consumption
  • CWE-770: Allocation of Resources Without Limits or Throttling

Source file

pypi/pypdf/CVE-2026-119209.yml

Spotted a mistake? Edit the file on GitLab.

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