CVE-2026-43979
MEDIUM
5,0
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: none
Scope: changed
Confidentiality: low
Integrity: none
Availability: none
Description
AI Translation Available
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.
79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
StableCommon Consequences
Security Scopes Affected:
Access Control
Confidentiality
Integrity
Availability
Potential Impacts:
Bypass Protection Mechanism
Read Application Data
Execute Unauthorized Code Or Commands
Applicable Platforms
Technologies:
AI/ML, Web Based, Web Server
918
Server-Side Request Forgery (SSRF)
IncompleteCommon Consequences
Security Scopes Affected:
Confidentiality
Integrity
Access Control
Potential Impacts:
Read Application Data
Execute Unauthorized Code Or Commands
Bypass Protection Mechanism
Applicable Platforms
Technologies:
Web Based, AI/ML, Web Server
https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA…
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…