EUVD-2026-32978 · Published May 28, 2026
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.
Technologies
Weaknesses
CVSS scores
- v3.15.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N
MITRE ATT&CK
InferredWhere this vulnerability fits in an attack
References
- https://github.com/LearningCircuit/local-deep-research/pull/3082
- https://github.com/LearningCircuit/local-deep-research/pull/3613
- https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q
- https://nvd.nist.gov/vuln/detail/CVE-2026-43979
- https://github.com/LearningCircuit/local-deep-research/commit/0148fa265a3da460c07def7441f9ac49ea61fbcb
- https://github.com/LearningCircuit/local-deep-research/commit/15f13d5c79847f1c38c2dc67bd0027c38af9e34b
Potentially impacted assets
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