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Vulnerabilities

Security research · CVE-2025-67743

Local Deep Research is an AI-powered research assistant for deep, iterative research.

Published Dec 23, 2025 · catalog updated Dec 23, 2025 · LearningCircuit

Last checked Nov 5, 2026. A connected source was read within the last 7 days.

Check if you run it

No confirmed exploitation is on record for CVE-2025-67743. EPSS is 0.32%. Act only if a listed version of LearningCircuit is installed.

Gaps on this record

  • No vendor fix or required action is stored. Compare the linked advisory before you change production.
Severity
Medium6.3
Known exploitation
Not in CISA/VulnCheck KEV
EPSS
0.32%
Remediation
Version ranges on file
Affected products
vendor LearningCircuit local-deep-research 1.3.0, < 1.3.9

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 versio

Are you affected?

Enter the version you run. The result uses only the ranges stored on this record.

The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.

  • vendor LearningCircuit local-deep-research 1.3.0, < 1.3.91.3.0, < 1.3.9

How to fix CVE-2025-67743

What to do

Three questions, each answered from this record only. Confirm the vendor advisory before you patch.

Should you patch?

No confirmed exploitation is on record for CVE-2025-67743. EPSS is 0.32%. Act only if a listed version of LearningCircuit is installed.

Which versions are affected?

Compare what you have installed with LearningCircuit local-deep-research 1.3.0, < 1.3.9 1.3.0, < 1.3.9. Compare the installed version with the linked vendor advisory before you change production.

What should an analyst verify?

No weakness class is stored. EPSS 0.32%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.

Code

The project this record applies to. Exploit listings stay in References.

Timeline

Detection, updates, and resolution for this record.

  1. Dec 23, 2025 · EUVD

    Detected

    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/G

  2. Dec 23, 2025 · EUVD

    Updated

    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/G

Sources

  • CVE.orgVulnerability recordCVE-2025-67743

    Official CVE identifier

    cve.org
  • FIRST EPSSExploitation probabilityCVE-2025-67743

    30-day exploitation probability 0.32%

    first.org
  • EUVDVulnerability recordEUVD-2025-204778

    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

    euvd.enisa.europa.eu

References

Freshness

Last verified in this catalog Nov 5, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.

  • FIRST EPSSNov 5, 2026
  • CVE.orgNov 2, 2026
  • EUVDNov 1, 2026