A AegiFlow
LOWCVSS 3.7EPSS 0.2%

CVE-2026-105742

CVE-2026-105742 updated by NVD

Published
2026-10-07
Modified
2026-10-09
EPSS percentile
12%
Sources
github-advisory, nvd

Summary

Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.95.0 until 2.132.0, the HTML image resource loader in docling/backend/utils/image_resource_loader.py forwards headers configured through the HTMLBackendOptions.headers setting to every remote image URL named by an untrusted document when enable_remote_fetch=True and fetch_images=True. The loader does not restrict those credentials to the source document's origin, allowing requests that carry custom headers such as API keys and cookies to follow cross-origin redirects and expose the caller's configured credentials to a document author. The default configuration is not affected because remote fetching and configured headers are required. This issue is fixed in 2.132.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIdocling—2.132.0
PyPIdocling-slim—2.132.0

Remediation: Upgrade to 2.132.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

CVE® is a registered trademark of The MITRE Corporation. CVE content reproduced under the CVE Terms of Use; copyright designation © MITRE.

EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.