A AegiFlow
HIGHCVSS 7.5EPSS 0.7%

CVE-2026-44017

CVE-2026-44017 updated by NVD

Published
2026-06-03
Modified
2026-08-30
EPSS percentile
50%
Sources
github-advisory, nvd

Summary

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. Prior to 2.91.0, the EasyOCR model download functionality extracted ZIP archives without validating member paths, enabling Zip Slip attacks. If an attacker could compromise the model download source (via supply chain attack, DNS spoofing, or MITM), they could write arbitrary files to any location writable by the process, potentially achieving remote code execution by overwriting Python files or system binaries, persistent backdoors by modifying startup scripts or SSH keys, and data corruption or system compromise. This vulnerability is fixed in 2.91.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIdocling2.91.0

Remediation: Upgrade to 2.91.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.