LearningCircuit local-deep-research up to 1.3.8 Download Service download_service.py requests.get server-side request forgery

CVSS Meta Temp Score
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CTI Interest Score
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5.9$0-$5k0.00

Summaryinfo

A vulnerability categorized as critical has been discovered in LearningCircuit local-deep-research up to 1.3.8. The impacted element is the function requests.get of the file download_service.py of the component Download Service. Executing a manipulation can lead to server-side request forgery. This vulnerability appears as CVE-2025-67743. The attack may be performed from remote. There is no available exploit. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability has been found in LearningCircuit local-deep-research up to 1.3.8 and classified as critical. This vulnerability affects the function requests.get of the file download_service.py of the component Download Service. The manipulation with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

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.

The advisory is shared for download at github.com. This vulnerability was named CVE-2025-67743 since 12/11/2025. The exploitation appears to be difficult. The attack can be initiated remotely. There are known technical details, but no exploit is available.

Upgrading to version 1.3.9 eliminates this vulnerability. Applying the patch b79089ff30c5d9ae77e6b903c408e1c26ad5c055 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the databases at CNNVD (CNNVD-202512-4182) and EUVD (EUVD-2025-204778). Once again VulDB remains the best source for vulnerability data.

Productinfo

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Version

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 5.0
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔒

CNA Base Score: 6.3
CNA Vector (GitHub_M): 🔒

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: local-deep-research 1.3.9
Patch: b79089ff30c5d9ae77e6b903c408e1c26ad5c055

Timelineinfo

12/11/2025 CVE reserved
12/23/2025 +12 days Advisory disclosed
12/23/2025 +0 days VulDB entry created
12/29/2025 +6 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-9c54-gxh7-ppjc
Status: Confirmed

CVE: CVE-2025-67743 (🔒)
GCVE (CVE): GCVE-0-2025-67743
GCVE (VulDB): GCVE-100-337828
EUVD: 🔒
CNNVD: CNNVD-202512-4182 - Local Deep Research 安全漏洞

Entryinfo

Created: 12/23/2025 08:28
Updated: 12/29/2025 17:28
Changes: 12/23/2025 08:28 (69), 12/23/2025 08:59 (1), 12/24/2025 18:48 (6), 12/29/2025 17:28 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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