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  5. CVE-2026-103000

CVE-2026-103000: pypdf: Possible large memory usage when retrieving alphabetical page labels

October 1, 2026

An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires accessing the page labels of a document with large alphabetical labels.

References

  • github.com/advisories/GHSA-w23x-9jrw-r45c
  • github.com/py-pdf/pypdf/commit/0d8b5a8832cde1ba308b5c27567b879b7b7eed4a
  • github.com/py-pdf/pypdf/pull/4096
  • github.com/py-pdf/pypdf/releases/tag/6.19.0
  • github.com/py-pdf/pypdf/security/advisories/GHSA-w23x-9jrw-r45c
  • nvd.nist.gov/vuln/detail/CVE-2026-103000

Code Behaviors & Features

Detect and mitigate CVE-2026-103000 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 6.19.0

Fixed versions

  • 6.19.0

Solution

Upgrade to version 6.19.0 or above.

Impact 7.5 HIGH

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

Learn more about CVSS

Weakness

  • CWE-400: Uncontrolled Resource Consumption

Source file

pypi/pypdf/CVE-2026-103000.yml

Spotted a mistake? Edit the file on GitLab.

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