🛡️ CVE-2026-59938 — pypdf

🟡 CVSS 5.3 — Medium ✅ No Known Exploit CWE-789 OSV
5.3
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

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).

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. Rated impact: confidentiality none, integrity none, availability low.

Affected software

CVE-2026-59938 is recorded against 1 package.

  • pypdf (fixed in 6.14.0)

Timeline and source

Published on 23 July 2026 and last revised on 4 August 2026. No public exploit is currently recorded for this entry. A vendor advisory or fix has been published. Record sourced from OSV.

References

github.com (Web)
nvd.nist.gov (Advisory)
github.com (Web)
github.com (Web)
github.com (Package)
github.com (Web)

Details

Severity MEDIUM
CVSS Score 5.3
CVSS Vector CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
CWE CWE-789
Public Exploit ✅ No
Source OSV
Published 2026-07-23
Updated 2026-08-12
Modified 2026-08-04

Affected Packages

Software From version Fixed in
pypdf 6.14.0

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