Inefficient Algorithmic Complexity Affecting pypdf package, versions [,6.19.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-PYPDF-20415629
- published3 Oct 2026
- disclosed1 Oct 2026
- creditjungmingi-lab
Introduced: 1 Oct 2026
NewCVE-2026-102999 (opens in a new tab)How to fix?
Upgrade pypdf to version 6.19.0 or higher.
Overview
pypdf is an A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files
Affected versions of this package are vulnerable to Inefficient Algorithmic Complexity via the attachments property in pypdf/_doc_common.py, where iterating over the attachment mapping using .items() causes each content retrieval to re-parse the entire attachment list from scratch. An attacker can supply a PDF with a large number of attachments to trigger quadratic-time processing, exhausting CPU or memory resources and crashing the application.