high7.1
CVE-2026-119209
pypdf has possible large memory usage when parsing cross-reference streams
Impact
pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. 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 |
| Pypdf Project | Pypdf | before 6.21.3 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-x3rh-gjgm-fmqc
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-x3rh-gjgm-fmqc
- https://nvd.nist.gov/vuln/detail/CVE-2026-119209
- https://github.com/py-pdf/pypdf/pull/4269
- https://github.com/py-pdf/pypdf/commit/a93fe3a901fd00af38f0a105c3ba7175fa72dcb4
- https://github.com/py-pdf/pypdf/releases/tag/6.21.3