Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| LearningCircuit | local-deep-research | affected |
|
No data.
No data available yet.
| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-9c54-gxh7-ppjc | Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.318% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Learningcircuit
Learningcircuit local Deep Research |
|
| CPEs | cpe:2.3:a:learningcircuit:local_deep_research:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Learningcircuit
Learningcircuit local Deep Research |
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
| 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
|