MODERATEPyPI →
pypdf: Possible large memory usage for wrong image dimensions
pypdf: Possible large memory usage for wrong image dimensions
Affected packages
- pypdf— before 6.14.0
Exploit signal
- Known exploited (CISA KEV)
- No
- EPSS score
- 0.30%
- EPSS percentile
- 22.6%
EPSS is the probability a CVE is exploited in the wild; percentile is its rank among all CVEs. This advisory is in the top 23%.
Sources
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp
- https://nvd.nist.gov/vuln/detail/CVE-2026-59938
- https://github.com/py-pdf/pypdf/pull/3888
- https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a
- https://github.com/py-pdf/pypdf
- https://github.com/py-pdf/pypdf/releases/tag/6.14.0
Structured record: https://osv.dev/vulnerability/GHSA-5qjq-93h5-hrgp
Recommended response stack
Snyk — Scan your dependencies in CI and fix this vulnerability.→Socket — Detect malicious and compromised packages before they ship.→
Some links are affiliate links — HackTribune may earn a commission at no extra cost to you.
Get incidents like this as alerts for your stack.
Join the beta