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Vulnerability · Published Oct 5, 2026 · Assigned by GitHub_M

CVE-2026-105748Docling: Crafted DoclingDocument JSON embeds local image files into converted output

Medium 4.3

In plain English

A medium-severity information exposure in docling from docling-project. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 23% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)4.3Medium
Exploit odds (30 days)0.3%top 76.7% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.16.0 until 2.131.0, the InputFormat.JSON_DOCLING backend in docling/backend/json/docling_json_backend.py validates serialized DoclingDocument input without rejecting picture image references that contain local paths or file URIs. When the document is enriched or exported with ImageRefMode.EMBEDDED, the DoclingDocument._with_embedded_pictures and ImageRef.pil_image methods can open those references and place readable image bytes in Markdown or HTML output. Disclosure is limited to files Pillow can decode as images, while differing decode behavior can also reveal whether a path exists. Direct untrusted loading through docling-core is outside this Docling fix. This issue is fixed in 2.131.0.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPIdocling2.131.0GHSA-p944-4xh2-x776
PyPIdocling2.131.0PYSEC-2026-4208
PyPIdocling-slim2.131.0GHSA-p944-4xh2-x776
PyPIdocling-slim2.131.0PYSEC-2026-4213

Affected products (as reported)

VendorProductVersions
docling-project docling >= 2.16.0, < 2.131.0
docling-project docling-slim >= 2.16.0, < 2.131.0

Weakness: CWE-73, CWE-200 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N

References