pypdf: Possible large memory usage for wrong image dimensions
### Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires loading images where the declared size values are much too large compared to the actual data. ### Patches This has been fixed in [pypdf==6.14.0](https://github.com/py-pdf/pypdf/releases/tag/6.14.0). ### Workarounds If you cannot upgrade yet, consider applying the changes from PR [#3888](https://github.com/py-pdf/pypdf/pull/3888).
01
describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2026-59938US | medium5.3 | — | ||
pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual… | ||||
02
references
External citations — patches, advisories, analysis.
- https://github.com/py-pdf/pypdfPACKAGE
- https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7aWEB
- https://github.com/py-pdf/pypdf/pull/3888WEB
- https://github.com/py-pdf/pypdf/releases/tag/6.14.0WEB
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgpWEB
- https://nvd.nist.gov/vuln/detail/CVE-2026-59938ADVISORY
scry
Advisories like this name the exposed products attackers go after on your perimeter. See what is exposed on your perimeter with a free passive scan.
Free scan