6.5

CVE-2025-67743

Exploit

Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service

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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Learningcircuit ≫ Local Deep Research Version >= 1.3.0 < 1.3.9
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.27% 0.189
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 6.5 2.8 3.6
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
security-advisories@github.com 6.3 1.8 4
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N
CWE-918 Server-Side Request Forgery (SSRF)

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-9c54-gxh7-ppjc
Vendor Advisory
Exploit
https://github.com/LearningCircuit/local-deep-research/commit/b79089ff30c5d9ae77e6b903c408e1c26ad5c055
Patch