Medium severity · published Jul 8, 2026
CVE-2026-59938
pypdf: Possible large memory usage for wrong image dimensions
5.3
CVSS
0.5%
EPSS
No
On KEV
Description
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 data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
None
Integrity
None
Availability
Low
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 44% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
PY
pypdf · py-pdf
< 6.14.0 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-59938
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-59938
Patch
https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a
Issue Tracking
https://github.com/py-pdf/pypdf/pull/3888
Product
https://github.com/py-pdf/pypdf/releases/tag/6.14.0
Patch
https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp
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