CVE-2020-27239
📋 TL;DR
This vulnerability allows unauthenticated attackers to execute arbitrary SQL commands on OpenClinic GA systems via the assetStatus parameter in getAssets.jsp. Successful exploitation could lead to complete database compromise, data theft, or system takeover. All organizations running vulnerable versions of OpenClinic GA are affected.
💻 Affected Systems
- OpenClinic GA
📦 What is this software?
Openclinic Ga by Openclinic Ga Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to patient data exfiltration, system takeover via RCE, or permanent data destruction.
Likely Case
Unauthorized access to sensitive patient records, modification of medical data, or extraction of administrative credentials.
If Mitigated
Limited impact if proper network segmentation, WAF rules, and input validation are in place.
🎯 Exploit Status
The vulnerability is easily exploitable via simple HTTP requests with SQL injection payloads in the assetStatus parameter.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
1. Check for official patches from OpenClinic GA developers
2. If no patch available, implement workarounds immediately
3. Consider upgrading to a supported version if available
🔧 Temporary Workarounds
Web Application Firewall (WAF) Rules
allImplement WAF rules to block SQL injection patterns in the assetStatus parameter
Input Validation Filter
allAdd server-side input validation to reject malicious SQL characters in the assetStatus parameter
🧯 If You Can't Patch
- Restrict network access to OpenClinic GA to trusted IP addresses only
- Implement network segmentation to isolate the vulnerable system from sensitive data
🔍 How to Verify
Check if Vulnerable:
Send a test HTTP request to getAssets.jsp with a SQL injection payload in the assetStatus parameter and observe database errors in responseCheck Version:
Check OpenClinic GA version in application interface or configuration filesVerify Fix Applied:
Test the same SQL injection payloads and verify they are rejected or sanitized without database errors📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries from web application
Network Indicators:
- HTTP requests to getAssets.jsp with SQL keywords in parameters
- Unusual database traffic patterns from web server
SIEM Query:
source="web_logs" AND uri="/getAssets.jsp" AND (param="assetStatus" AND value CONTAINS "UNION" OR value CONTAINS "SELECT" OR value CONTAINS "OR 1=1")