Affected: docling-project docling

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.91.0, the METS-GBS backend's XML parsing and the input document format detection lacked security controls. An attacker could craft malicious METS-GBS archives that, when processed, could read sensitive files, exhaust system resources, or cause application crashes. This vulnerability is fixed in 2.91.0.

Affected: PyPI: docling

### 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)