CVE-2026-43979

MEDIUM EPSS 17.6%
Published May 28, 20261mo ago · Modified Jun 17, 20262w ago
5.0 CVSS 3.1
Medium
Find Similar
Published May 28, 2026 1mo ago
Last Modified Jun 17, 2026 2w ago

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.

CVSS Details

Base Score
5.0
Exploitability
3.1
Impact
1.4
Vector string
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N
Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope Changed
Confidentiality Low
Integrity None
Availability None

Threat Intelligence

EPSS Exploit Probability
17.6% percentile
Exploit & Patch Status
No Known Exploit
No Patch Available

Weaknesses 2

CWE-79 Cross-site Scripting Injection
CWE-918 Server-Side Request Forgery (SSRF) Validation

References 3

  • github.com https://github.com/LearningCircuit/local-deep-research/pull/3082
  • github.com https://github.com/LearningCircuit/local-deep-research/pull/3613
  • github.com https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q

Remediation

No remediation data recorded yet

Check vendor advisories and the NVD entry for patch availability.