CVE-2025-11629
📋 TL;DR
This SQL injection vulnerability in RainyGao DocSys allows attackers to execute arbitrary SQL commands through the getUserList function. It affects all versions up to 2.02.36 and can be exploited remotely without authentication. Organizations using vulnerable DocSys installations are at risk of data theft, modification, or system compromise.
💻 Affected Systems
- RainyGao DocSys
📦 What is this software?
Docsys by Docsys Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data exfiltration, privilege escalation, and potential remote code execution on the underlying server.
Likely Case
Unauthorized access to sensitive user data, database manipulation, and potential lateral movement within the system.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only allowing data viewing without modification.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily exploitable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: No
Instructions:
No official patch available. Vendor has not responded to disclosure. Consider upgrading to any version above 2.02.36 if available, or implement workarounds.
🔧 Temporary Workarounds
Input Validation Filter
allImplement strict input validation and parameterized queries for the getUserList function
Implement prepared statements with parameter binding in the affected Java code
Web Application Firewall
allDeploy WAF with SQL injection protection rules
Configure WAF to block requests containing SQL injection patterns to /Manage/getUserList.do
🧯 If You Can't Patch
- Network segmentation: Isolate DocSys server from internet and restrict access to trusted IPs only
- Database hardening: Implement least privilege database accounts and enable SQL injection protection at database level
🔍 How to Verify
Check if Vulnerable:
Test the /Manage/getUserList.do endpoint with SQL injection payloads (e.g., ' OR '1'='1) and observe database errors or unexpected responsesCheck Version:
Check DocSys version in web interface or configuration filesVerify Fix Applied:
After implementing fixes, test with the same payloads and verify proper error handling or rejection of malicious input📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts or parameter manipulation in access logs
- Requests to /Manage/getUserList.do with SQL keywords
Network Indicators:
- Unusual database connections from web server
- Large data transfers from database to external IPs
SIEM Query:
source="web_logs" AND uri="/Manage/getUserList.do" AND (payload CONTAINS "UNION" OR payload CONTAINS "SELECT" OR payload CONTAINS "OR '1'='1")