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.
Metrics
Affected Vendors & Products
References
History
Tue, 23 Dec 2025 00:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | 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. | |
| Title | Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service | |
| Weaknesses | CWE-918 | |
| References |
| |
| Metrics |
cvssV3_1
|
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2025-12-23T00:01:19.309Z
Reserved: 2025-12-11T18:08:02.946Z
Link: CVE-2025-67743
No data.
Status : Received
Published: 2025-12-23T01:15:43.160
Modified: 2025-12-23T01:15:43.160
Link: CVE-2025-67743
No data.
OpenCVE Enrichment
No data.