Server-side Request Forgery (SSRF) Affecting local-deep-research package, versions [1.3.0,1.3.9)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-LOCALDEEPRESEARCH-14552229
- published23 Dec 2025
- disclosed23 Dec 2025
- creditYue (Knox) Liu
Introduced: 23 Dec 2025
CVE-2025-67743 (opens in a new tab)How to fix?
Upgrade local-deep-research to version 1.3.9 or higher.
Overview
local-deep-research is an AI-powered research assistant with deep, iterative analysis using LLMs and web searches
Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) via the download_service.py service. An attacker can access internal services and attempt to reach cloud provider metadata endpoints or perform internal network reconnaissance by submitting malicious URLs through the API.