CVE-2026-2532: lintsinghua DeepAudit SSRF Vulnerability

CVE-2026-2532 Overview

A Server-Side Request Forgery (SSRF) vulnerability has been identified in lintsinghua DeepAudit versions up to 3.0.3. This vulnerability exists in the IP Address Handler component within the file backend/app/api/v1/endpoints/embedding_config.py. The flaw allows authenticated remote attackers to manipulate server-side requests, potentially enabling access to internal network resources, sensitive data exfiltration, or further exploitation of internal services.

Critical Impact

Authenticated attackers can leverage this SSRF vulnerability to bypass network security controls, access internal services, and potentially pivot to other systems within the network infrastructure.

Affected Products

• lintsinghua DeepAudit versions up to 3.0.3
• DeepAudit installations with exposed embedding configuration endpoints
• Systems running vulnerable IP Address Handler components

Discovery Timeline

• 2026-02-16 - CVE-2026-2532 published to NVD
• 2026-02-18 - Last updated in NVD database

Technical Details for CVE-2026-2532

Vulnerability Analysis

This SSRF vulnerability (CWE-918) resides in the embedding configuration endpoint of DeepAudit's backend API. The IP Address Handler component fails to properly validate and sanitize user-supplied URLs or IP addresses before making server-side requests. This allows an authenticated attacker to craft malicious requests that force the server to make HTTP requests to arbitrary internal or external destinations.

The vulnerability is exploitable remotely over the network and requires low privileges to execute. While the attack complexity is low and requires no user interaction, the impact is constrained to limited confidentiality, integrity, and availability effects on the vulnerable component itself.

Root Cause

The root cause of this vulnerability stems from insufficient input validation in the embedding_config.py file. The IP Address Handler processes user-supplied addresses without implementing proper SSRF protections, such as URL scheme validation, IP address allowlisting/denylisting, or prevention of requests to internal network ranges (RFC 1918 addresses, localhost, link-local addresses).

Attack Vector

An authenticated attacker can exploit this vulnerability by sending crafted requests to the embedding configuration endpoint. By manipulating the IP address or URL parameters, the attacker can direct the DeepAudit server to:

1. Access internal services that are not directly accessible from external networks
2. Scan internal network infrastructure to discover live hosts and services
3. Retrieve sensitive data from internal metadata services (e.g., cloud provider metadata endpoints)
4. Potentially bypass firewall rules and access controls

The security patch (da853fdd8cbe9d42053b45d83f25708ba29b8b27) addresses this issue by implementing proper SSRF protection mechanisms:

 使用 UserConfig.other_config 持久化存储
 """
 
+import asyncio
 import json
+import time
 import uuid
 from typing import Any, Optional, List
 from fastapi import APIRouter, Depends, HTTPException

Source: GitHub Commit Details

Detection Methods for CVE-2026-2532

Indicators of Compromise

• Unusual outbound HTTP/HTTPS requests from the DeepAudit server to internal IP ranges (10.x.x.x, 172.16.x.x-172.31.x.x, 192.168.x.x)
• Requests to cloud metadata endpoints (169.254.169.254) originating from the application server
• Anomalous network traffic patterns from the embedding configuration API endpoint
• Log entries showing requests to localhost or loopback addresses (127.0.0.1, ::1)

Detection Strategies

• Monitor application logs for requests to the /api/v1/endpoints/embedding_config endpoint with suspicious URL or IP parameters
• Implement network-level monitoring to detect outbound requests to internal IP ranges from the DeepAudit server
• Deploy Web Application Firewall (WAF) rules to detect and block SSRF attack patterns
• Utilize SentinelOne's behavioral AI to identify anomalous server-side request patterns indicative of SSRF exploitation

Monitoring Recommendations

• Enable verbose logging on the DeepAudit application to capture all requests to the embedding configuration endpoint
• Configure network segmentation alerts for unauthorized cross-segment traffic originating from the application tier
• Implement egress filtering and monitor for policy violations from the DeepAudit server

How to Mitigate CVE-2026-2532

Immediate Actions Required

• Upgrade lintsinghua DeepAudit to version 3.0.4 or 3.1.0 immediately
• Review application logs for evidence of exploitation attempts
• Implement network-level restrictions to limit outbound connections from the DeepAudit server
• Apply the security patch da853fdd8cbe9d42053b45d83f25708ba29b8b27 if immediate upgrade is not possible

Patch Information

The vulnerability has been addressed in DeepAudit versions 3.0.4 and 3.1.0. The fix is contained in commit da853fdd8cbe9d42053b45d83f25708ba29b8b27, which implements proper SSRF protection mechanisms in the IP Address Handler component. Detailed information about the fix can be found in the GitHub Issue Discussion and GitHub Pull Request. The patched release is available at the GitHub Release Tag v3.0.4.

Workarounds

• Restrict network access to the DeepAudit server using firewall rules to limit outbound connections
• Implement a reverse proxy with URL filtering to block requests containing internal IP addresses
• Deploy network segmentation to isolate the DeepAudit server from sensitive internal resources
• Use SentinelOne Singularity to monitor and block suspicious outbound connection attempts

# Example: Restrict outbound connections from DeepAudit server using iptables
# Block requests to internal RFC1918 ranges
iptables -A OUTPUT -d 10.0.0.0/8 -j DROP
iptables -A OUTPUT -d 172.16.0.0/12 -j DROP
iptables -A OUTPUT -d 192.168.0.0/16 -j DROP
# Block cloud metadata endpoints
iptables -A OUTPUT -d 169.254.169.254 -j DROP