pypdf has possible long runtimes/large memory usage for encrypted PDF files
High-risk advisory
CVE-2026-119208
Summary
pypdf has possible long runtimes/large memory usage for encrypted PDF files
Why it matters
GitHub has published a reviewed security advisory for pypdf. Prioritize it with other application dependency updates, especially because EPSS places it in the 23% percentile.
Operator check
Check whether pypdf is present in application dependency manifests, lockfiles, or build images. Review the GitHub advisory and upgrade to a patched version where available. CVSS score: 7.1. EPSS probability: 0.3%; percentile: 23%.
Sources
PatchBrief uses public sources. It does not scan environments, verify exposure, or replace vendor guidance.