CVE-2025-67743: Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service

Severity: medium (CVSS 6.5 v3.1)
Exploited in the wild: not listed in CISA KEV
EPSS: 0.3% probability of exploitation in the next 30 days
Public exploit or detection template: yes
Published: 2025-12-23 · updated 2026-10-19
Weakness: CWE-918

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 products

LearningCircuit local-deep-research: from 1.3.0 before 1.3.9 — fixed in 1.3.9

How to fix

Upgrade to a fixed version: LearningCircuit local-deep-research 1.3.9. Check the vendor advisory for mitigations.

References

Get alerted when CVE-2025-67743 or the next vulnerability affects your stack