Inefficient Algorithmic Complexity Affecting pypdf package, versions [,6.12.2)
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-17356485
- published17 Jun 2026
- disclosed16 Jun 2026
- creditmanop55555
Introduced: 16 Jun 2026
NewCVE-2026-49460 (opens in a new tab)How to fix?
Upgrade pypdf to version 6.12.2 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 FlateDecode PNG predictor streams. An attacker can cause excessive resource consumption and significantly increase processing time by crafting a PDF that triggers inefficient decoding operations. This is only exploitable if a stream using the /FlateDecode filter with a PNG predictor is accessed.