Bug 2546166 (CVE-2026-105747)

Summary: CVE-2026-105747 docling: docling: Denial of Service via excessive memory allocation in archive processing
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: medium Docs Contact:
Priority: medium    
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. A remote attacker can cause a Denial of Service (DoS) by providing a specially crafted compressed archive containing an excessively large number of entries. During format detection, the application parses the full list of archive members into memory before verifying member-count restrictions. This behavior allows the archive to exhaust system memory, potentially crashing the application or rendering it unresponsive.
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oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
Cloudforms Team: --- Target Upstream Version:
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Description OSIDB Bzimport 2026-10-05 21:53:38 UTC 
Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.131.0, METS-GBS format detection in docling/datamodel/document.py and the backend in docling/backend/mets_gbs_backend.py call tarfile.TarFile.getmembers() before enforcing the max_member_count limit, causing the full archive member list to be allocated before the limit can stop processing. A small gzip-compressed tar archive with a very large number of empty members can therefore consume memory proportional to the declared member count, including during format detection before the allowed_formats restriction is applied. This issue is a residual weakness in the member-count protection added for CVE-2026-44018. This issue is fixed in 2.131.0.