GitHub Advisoryadvisory · PyPI
GHSA-w23x-9jrw-r45c pypdf: Possible large memory usage when retrieving alphabetical page labels
HIGH
Official page ↗
- Aliases
- CVE-2026-103000
- Ecosystem
- PyPI
- Packages
- pypdf
- Severity
- High
- CVSS vector
- 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
- Weaknesses
- CWE-400
- Reviewed
- 2026-10-01
Affected packages
• PyPI pypdf: < 6.19.0 → fixed in 6.19.0
Description
Impact
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.
Patches
This has been fixed in pypdf==6.19.0.
Workarounds
If you cannot upgrade yet, consider applying the changes from PR #4096.
Related
Alias · CVE (1)
- CVE-2026-103000 pypdf is a free and open-source pure-python PDF library. vulnerability
Weakness · CWE (1)
- CWE-400 Uncontrolled Resource Consumption weakness
References
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-w23x-9jrw-r45c web
- https://nvd.nist.gov/vuln/detail/CVE-2026-103000 advisory
- https://github.com/py-pdf/pypdf/pull/4096 web
- https://github.com/py-pdf/pypdf/commit/0d8b5a8832cde1ba308b5c27567b879b7b7eed4a web
- https://github.com/py-pdf/pypdf package
- https://github.com/py-pdf/pypdf/releases/tag/6.19.0 web