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Description

Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.0, PDFService._markdown_to_html() constructs an HTML document by interpolating user-controlled values — specifically title (sourced from research.title or research.query) and metadata key-value pairs — directly into an f-string without any HTML escaping. An authenticated attacker can craft a research query containing HTML special characters to inject arbitrary HTML tags into the document processed by WeasyPrint during PDF export. This injection can be chained to trigger a Server-Side Request Forgery (SSRF), bypassing the application's existing SSRF defenses in ssrf_validator.py. This vulnerability is fixed in 1.6.0.

PUBLISHED Reserved 2026-05-04 | Published 2026-05-28 | Updated 2026-05-28 | Assigner GitHub_M




MEDIUM: 5.0CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N

Problem types

CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

CWE-918: Server-Side Request Forgery (SSRF)

Product status

< 1.6.0
affected

References

github.com/...search/security/advisories/GHSA-fj2m-qvh9-jq4q exploit

github.com/...search/security/advisories/GHSA-fj2m-qvh9-jq4q

github.com/LearningCircuit/local-deep-research/pull/3082

github.com/LearningCircuit/local-deep-research/pull/3613

cve.org (CVE-2026-43979)

nvd.nist.gov (CVE-2026-43979)

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