CVE & CISA-KEV Catalog

CVE-2025-67743

MEDIUM
6.3
CVSS v3
NVD

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.

How to fix

Remediation Available
local deep researchNVD
Affected:>= 1.3.0, < 1.3.9Fixed in:1.3.9CVE-2025-67743derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorNetwork
Attack ComplexityHigh
Privileges RequiredLow
User InteractionNone
ScopeChanged

Impact

ConfidentialityHigh
IntegrityNone
AvailabilityNone

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N

Exploit Intelligence

0.27%probability of exploitation in 30 days
19thpercentile

Low risk: more likely to be exploited than 19% of all known CVEs.

References

Exploit1

Related Vulnerabilities

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CVE-2021-21985Critical9.8100%KEV + RansomFix
CVE-2022-41040High8.8100%KEV + RansomFix
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Markdown

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HTML

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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2025-12-29.