GitHub Advisoryadvisory · PyPI
GHSA-r3xg-rg9j-67fv Docling: Unsafe Archive Extraction and XML Parsing in METS-GBS Backend
MEDIUM
Official page ↗
- Aliases
- CVE-2026-44018
- Ecosystem
- PyPI
- Packages
- docling
- Severity
- Moderate
- CVSS vector
- CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-409, CWE-611, CWE-776
- Reviewed
- 2026-06-03
Affected packages
• PyPI docling: >= 2.45.0, < 2.91.0 → fixed in 2.91.0
Description
Impact
The METS-GBS backend's XML parsing and the input document format detection lacked security controls, enabling:
• XML External Entity (XXE) attacks to read local files or cause denial of service
• Decompression bombs (zip bombs) to exhaust memory and disk space
• Unbounded archive extraction consuming system resources
An attacker could craft malicious METS-GBS archives that, when processed, could read sensitive files, exhaust system resources, or cause application crashes.
Patches
Fixed in version 2.91.0. The fix implements:
• Secure XML parsing with `resolve_entities=False`, `load_dtd=False`, and `no_network=True`
• Configurable limits: 300 MB total extraction size, 10 MB per file, 1000 member count
• Cumulative size tracking across all extractions
• Early termination when limits are exceeded
• Secure format detection of METS-GBS tar archives with `_detect_mets_gbs()` method: maximum file size (10 MB per file), maximum member count (1000 members), and exception handling to gracefully fail when limits are exceeded
Workarounds
Avoid processing METS-GBS archives from untrusted sources. If necessary, pre-validate archives in an isolated environment with resource limits.
References
• Fix release: v2.91.0
Related
Alias · CVE (1)
- CVE-2026-44018 Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. vulnerability
References
- https://github.com/docling-project/docling/security/advisories/GHSA-r3xg-rg9j-67fv web
- https://nvd.nist.gov/vuln/detail/CVE-2026-44018 advisory
- https://github.com/docling-project/docling package
- https://github.com/docling-project/docling/releases/tag/v2.91.0 web
- https://github.com/pypa/advisory-database/tree/main/vulns/docling/PYSEC-2026-2144.yaml web