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GHSA-r3xg-rg9j-67fv

Docling: Unsafe Archive Extraction and XML Parsing in METS-GBS Backend

Source: GitHub Advisory Database (reviewed) Moderate CVE-2026-44018

Packages

EcosystemPackageAffectedFixed in
PyPI docling >= 2.45.0, < 2.91.0 2.91.0

Details

As written in the advisory (Markdown source, shown as plain text).

### 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](https://github.com/docling-project/docling/releases/tag/v2.91.0)

References

External links from the advisory. They lead to third-party sites.