Docling: Unsafe Zip Extraction in EasyOCR Model Download
Impact
In versions < 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
- Data corruption or system compromise
Patches
Fixed in version 2.91.0. The extraction process now validates each archive member path using os.path.realpath() to ensure it remains within the target directory, raising a SecurityError for any path traversal attempts.
Workarounds
Ensure model downloads occur over secure, authenticated channels. Use integrity verification (checksums) for downloaded models. Run the application with minimal file system permissions.
References
- Fix release: v2.91.0
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | docling | < 2.91.0 | 2.91.0 |
References
- https://access.redhat.com/security/cve/CVE-2026-44017
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44017.json
- https://github.com/docling-project/docling/releases/tag/v2.91.0
- https://bugzilla.redhat.com/show_bug.cgi?id=2492448
- https://github.com/docling-project/docling/security/advisories/GHSA-cjqg-rq2h-2fvj
- https://nvd.nist.gov/vuln/detail/CVE-2026-44017
- https://access.redhat.com/errata/RHSA-2026:60520
- https://github.com/docling-project/docling
- https://github.com/pypa/advisory-database/tree/main/vulns/docling/PYSEC-2026-2143.yaml
- CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H- Weakness (CWE)
CWE-22- Platform
- Python (PyPI)
- Package
docling- Disclosed
- 03.06.2026
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-2143 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-cjqg-rq2h-2fvj - CC BY 4.0
Vulnerability history: docling
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 18
- First → latest
- 05.2026 10.2026
- Without a fix
- 2
- Exploited in attacks
- 0
Severity breakdown
- High 7
- Medium 10
- Low 1
Disclosures per year
- 2026: 18
-
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