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CVE-2026-44017

HIGH(7.5)

CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Risk Signal Score19/100 — NIEDRIG
  • CVSS 7.5 — Hoch

EPSS-Score

0%

Exploit-Wahrscheinlichkeit (30 Tage)

CVSS Score

7.5

Technische Schwere

Beschreibung

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.

GitHub Advisories

GHSA-cjqg-rq2h-2fvjHIGH

Docling: Unsafe Zip Extraction in EasyOCR Model Download

pip/docling2.91.0
GitHub Advisory

Referenzen