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CVE-2026-2532: Server-Side Request Forgery in lintsinghua DeepAudit

0
Medium
VulnerabilityCVE-2026-2532cvecve-2026-2532
Published: Mon Feb 16 2026 (02/16/2026, 03:02:09 UTC)
Source: CVE Database V5
Vendor/Project: lintsinghua
Product: DeepAudit

Description

A vulnerability was detected in lintsinghua DeepAudit up to 3.0.3. This issue affects some unknown processing of the file backend/app/api/v1/endpoints/embedding_config.py of the component IP Address Handler. Performing a manipulation results in server-side request forgery. It is possible to initiate the attack remotely. Upgrading to version 3.0.4 and 3.1.0 is capable of addressing this issue. The patch is named da853fdd8cbe9d42053b45d83f25708ba29b8b27. It is suggested to upgrade the affected component.

AI-Powered Analysis

AILast updated: 02/16/2026, 03:33:27 UTC

Technical Analysis

CVE-2026-2532 is a Server-Side Request Forgery vulnerability identified in the lintsinghua DeepAudit product, specifically affecting versions 3.0.0 through 3.0.3. The vulnerability resides in the IP Address Handler component, particularly in the backend/app/api/v1/endpoints/embedding_config.py file. SSRF vulnerabilities allow an attacker to induce the server to send crafted HTTP requests to arbitrary destinations, potentially accessing internal systems or services that are otherwise inaccessible externally. In this case, the vulnerability can be triggered remotely without user interaction, but it requires limited privileges on the system (PR:L), indicating that some level of authenticated access or lower privilege is necessary. The CVSS 4.0 base score is 5.3 (medium), reflecting the moderate impact and exploitability. The vulnerability could be exploited to perform unauthorized internal network scanning, access sensitive internal resources, or cause limited disruption to service integrity or availability. The vendor has released patches in versions 3.0.4 and 3.1.0, with a specific patch identified by commit da853fdd8cbe9d42053b45d83f25708ba29b8b27. No public exploits or active exploitation campaigns have been reported to date, but the presence of SSRF in a security auditing tool is concerning due to the potential for lateral movement or data leakage within protected environments.

Potential Impact

For European organizations, the SSRF vulnerability in DeepAudit could lead to unauthorized internal network access, potentially exposing sensitive internal services or data. Since DeepAudit is a security auditing tool, attackers exploiting this flaw might leverage it to bypass perimeter defenses and gain insights into internal network topology or access internal APIs. This could facilitate further attacks such as data exfiltration, lateral movement, or disruption of auditing processes. The impact on confidentiality is moderate due to possible exposure of internal resources, while integrity and availability impacts are limited but possible if the attacker manipulates internal requests maliciously. Organizations relying on DeepAudit for compliance or security monitoring may face risks to their security posture and regulatory compliance if the vulnerability is exploited. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers often target security tools to maximize impact.

Mitigation Recommendations

European organizations should immediately upgrade affected DeepAudit installations to version 3.0.4 or later (including 3.1.0) to remediate the SSRF vulnerability. In addition to patching, organizations should implement strict network segmentation to limit the server’s ability to reach sensitive internal resources, reducing the impact of potential SSRF exploitation. Employing web application firewalls (WAFs) with rules to detect and block SSRF patterns can provide an additional layer of defense. Monitoring and logging outbound requests from DeepAudit servers can help detect anomalous behavior indicative of exploitation attempts. Access controls should be reviewed to ensure that only trusted users have the limited privileges required to trigger this vulnerability. Finally, conducting internal penetration tests focusing on SSRF vectors in security tools can help identify residual risks.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-02-15T09:08:25.777Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69928cafbda29fb02f1ec50e

Added to database: 2/16/2026, 3:19:11 AM

Last enriched: 2/16/2026, 3:33:27 AM

Last updated: 2/21/2026, 12:15:25 AM

Views: 39

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