Bug 2546164 (CVE-2026-105748)

Summary: CVE-2026-105748 docling: Docling: Information disclosure via local image file references
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: low Docs Contact:
Priority: low    
Version: unspecifiedCC: ebourniv, hasun, nyancey, ptisnovs, sbunciak
Target Milestone: ---Keywords: Security
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Hardware: All   
OS: Linux   
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A flaw was found in Docling. This vulnerability allows an attacker to cause an information disclosure by providing a crafted document containing image references that point to local file paths or URIs (Uniform Resource Identifiers). When the application processes and exports the document with embedded images, it can read the local files and embed their contents into output formats like Markdown or HTML. In addition, differences in processing behavior can reveal whether specific file paths exist on the underlying system.
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oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
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Description OSIDB Bzimport 2026-10-05 21:53:11 UTC
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.