CVE-2026-43979
local-deep-research is Vulnerable to HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | local-deep-research | < 1.6.0 | 1.6.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-fj2m-qvh9-jq4q
- https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q
- 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/commit/0148fa265a3da460c07def7441f9ac49ea61fbcb
- https://github.com/LearningCircuit/local-deep-research/commit/15f13d5c79847f1c38c2dc67bd0027c38af9e34b
- https://nvd.nist.gov/vuln/detail/CVE-2026-43979