High severity · published Oct 29, 2026
CVE-2026-119208
pypdf: Possible long runtimes/large memory usage for encrypted PDF files
New
7.1
CVSS
–
EPSS
No
On KEV
Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive time and memory when an application accesses the page count of a crafted encrypted PDF whose page tree declares a forged /Count value. Even after successful decryption, page-count retrieval trusts the unvalidated declared count instead of walking the page tree, allowing the attacker-controlled value to drive excessive work and memory use. This issue is fixed in version 6.21.3.
Exploitation
Is it being used?
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
PY
pypdf · py-pdf
< 6.21.3 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-119208
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-119208
github.com
https://github.com/py-pdf/pypdf/commit/82b91951dc74496bb3efe6465434f041bb6a5e6b
github.com
https://github.com/py-pdf/pypdf/pull/4270
github.com
https://github.com/py-pdf/pypdf/releases/tag/6.21.3
github.com
https://github.com/py-pdf/pypdf/security/advisories/GHSA-62m5-6wh8-28x7
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