Vulnerability · Published May 28, 2026 · Assigned by GitHub_M
CVE-2026-43979Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)
Medium 5.0
In plain English
A medium-severity cross-site scripting in local-deep-research from LearningCircuit. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 26% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | local-deep-research | 1.6.0 | GHSA-fj2m-qvh9-jq4q |
| PyPI | local-deep-research | 1.6.0 | PYSEC-2026-2610 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| LearningCircuit | local-deep-research | < 1.6.0 |
Weakness: CWE-79, CWE-918 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N