🛡️ CVE-2026-59938 — pypdf
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
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
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| pypdf | — | 6.14.0 |
References
Similar Threats
- Unknown CLSA-2025-1759968741
- Unknown CLSA-2025-1765930342
- Unknown CLSA-2025-1766103143
- Unknown CLSA-2026-1778460294
- Unknown CLSA-2026-1781225618
More CVE 2026 advisories
Browse all of CVE 2026 in the advisory index.
Vulnerability Monitoring
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