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CVE-2025-67743
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Date: December 22, 2025
Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.
Severity Score
Related Resources (5)
Severity Score
Weakness Type (CWE)
Server-Side Request Forgery (SSRF)
CWE-918Top Fix
Upgrade Version
Upgrade to version local-deep-research - 1.3.9;https://github.com/LearningCircuit/local-deep-research.git - v1.3.9
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | NETWORK |
| Attack Complexity (AC): | HIGH |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | CHANGED |
| Confidentiality (C): | HIGH |
| Integrity (I): | NONE |
| Availability (A): | NONE |
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