CVE-2026-46526: CWE-918: Server-Side Request Forgery (SSRF) in LearningCircuit local-deep-research
Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prevent SSRF attacks. However, there are indeed differences in parsing between urlparse and the library that actually sends the request. For example, in safe_get, validate_url is first used to perform an SSRF check, and then requests.get is used to send the actual request. This vulnerability is fixed in 1.6.10.
AI Analysis
Technical Summary
The local-deep-research AI assistant uses a validate_url function to check URLs before sending requests to prevent SSRF attacks. However, the validation relies on urlparse to extract the host portion, while the actual request is sent using requests.get, which parses URLs differently. This discrepancy allows attackers to craft URLs that bypass validation but are accepted by requests.get, enabling SSRF attacks. The vulnerability affects versions before 1.6.10 and is addressed by correcting the validation logic in version 1.6.10.
Potential Impact
An attacker with at least low privileges can exploit this SSRF vulnerability to make the server send unauthorized requests to internal or external resources. The CVSS vector indicates network attack vector, low attack complexity, low privileges required, no user interaction, and a confidentiality impact limited to partial information disclosure. There is no impact on integrity or availability. No known exploits are reported in the wild.
Mitigation Recommendations
This vulnerability is fixed in local-deep-research version 1.6.10. Users should upgrade to version 1.6.10 or later to remediate this issue. Patch status is not explicitly confirmed by vendor advisory content, but the description states the issue is fixed in 1.6.10. No additional mitigation steps are indicated.
CVE-2026-46526: CWE-918: Server-Side Request Forgery (SSRF) in LearningCircuit local-deep-research
Description
Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prevent SSRF attacks. However, there are indeed differences in parsing between urlparse and the library that actually sends the request. For example, in safe_get, validate_url is first used to perform an SSRF check, and then requests.get is used to send the actual request. This vulnerability is fixed in 1.6.10.
CVSS v3.1
Score 5.0medium
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The local-deep-research AI assistant uses a validate_url function to check URLs before sending requests to prevent SSRF attacks. However, the validation relies on urlparse to extract the host portion, while the actual request is sent using requests.get, which parses URLs differently. This discrepancy allows attackers to craft URLs that bypass validation but are accepted by requests.get, enabling SSRF attacks. The vulnerability affects versions before 1.6.10 and is addressed by correcting the validation logic in version 1.6.10.
Potential Impact
An attacker with at least low privileges can exploit this SSRF vulnerability to make the server send unauthorized requests to internal or external resources. The CVSS vector indicates network attack vector, low attack complexity, low privileges required, no user interaction, and a confidentiality impact limited to partial information disclosure. There is no impact on integrity or availability. No known exploits are reported in the wild.
Mitigation Recommendations
This vulnerability is fixed in local-deep-research version 1.6.10. Users should upgrade to version 1.6.10 or later to remediate this issue. Patch status is not explicitly confirmed by vendor advisory content, but the description states the issue is fixed in 1.6.10. No additional mitigation steps are indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-14T19:12:32.755Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a188e05e29bf47b501d67d0
Added to database: 5/28/2026, 6:48:37 PM
Last enriched: 5/28/2026, 7:05:24 PM
Last updated: 5/29/2026, 8:20:11 AM
Views: 4
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