high7.1
CVE-2026-119208
pypdf has possible long runtimes/large memory usage for encrypted PDF files
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | pypdf | < 6.21.3 | 6.21.3 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Py-Pdf | Pypdf | before 6.21.3 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-62m5-6wh8-28x7
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-62m5-6wh8-28x7
- https://nvd.nist.gov/vuln/detail/CVE-2026-119208
- https://github.com/py-pdf/pypdf/pull/4270
- https://github.com/py-pdf/pypdf/commit/82b91951dc74496bb3efe6465434f041bb6a5e6b
- https://github.com/py-pdf/pypdf/releases/tag/6.21.3