Vulnerability · Published Dec 23, 2025 · Assigned by GitHub_M
CVE-2025-67743Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service
Medium 6.3
In plain English
A medium-severity server-side request forgery in local-deep-research from LearningCircuit. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 25% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | local-deep-research | 1.3.9 | GHSA-9c54-gxh7-ppjc |
| PyPI | local-deep-research | 1.3.9 | PYSEC-2026-1581 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| LearningCircuit | local-deep-research | >= 1.3.0, < 1.3.9 |
Weakness: CWE-918 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N