Improper Handling of Highly Compressed Data (Data Amplification) Affecting docling-slim package, versions [2.92.0, 2.131.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-DOCLINGSLIM-20537236
- published6 Oct 2026
- disclosed5 Oct 2026
- creditJonathan Lotan, Jeff Witt
Introduced: 5 Oct 2026
NewCVE-2026-105747 (opens in a new tab)How to fix?
Upgrade docling-slim to version 2.131.0 or higher.
Overview
docling-slim is a Modular version of the Docling package: SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
Affected versions of this package are vulnerable to Improper Handling of Highly Compressed Data (Data Amplification) via the METS-GBS backend's archive processing in docling/backend/mets_gbs_backend.py, where max_member_count is enforced only after the full member list has been built by TarFile.getmembers(). An attacker can supply a TAR archive containing an excessive number of members, causing the process to read all headers before the limit is applied, leading to unbounded resource consumption and a crash.