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  <updated>2026-10-08T09:58:35.672125+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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    <id>https://cve.radiocsirt.org/vuln/cve-2026-43979</id>
    <title>CVE-2026-43979 — Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)</title>
    <updated>2026-10-08T09:58:35.687320+00:00</updated>
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      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> LearningCircuit local-deep-research</p>
<p>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.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2026-43979"/>
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