CVE-2020-27229
📋 TL;DR
This vulnerability allows authenticated attackers to execute arbitrary SQL commands through the 'findPersonID' parameter in OpenClinic GA's patientslist.do page. Successful exploitation could lead to unauthorized data access, modification, or deletion. Only OpenClinic GA 5.173.3 installations with authenticated user access 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 including patient record exfiltration, data manipulation, or system takeover via SQL injection leading to remote code execution.
Likely Case
Unauthorized access to sensitive patient data (PHI/PII), potential data modification, and privilege escalation within the application.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation preventing lateral movement.
🎯 Exploit Status
Exploitation requires authenticated access but SQL injection payloads are straightforward. Public proof-of-concept exists in Talos advisory.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 5.173.4 or later
Vendor Advisory: https://talosintelligence.com/vulnerability_reports/TALOS-2020-1205
Restart Required: Yes
Instructions:
1. Backup database and application files. 2. Download latest OpenClinic GA version from official source. 3. Stop application service. 4. Replace vulnerable files with patched version. 5. Restart application service. 6. Verify functionality.
🔧 Temporary Workarounds
Input Validation Filter
allImplement server-side input validation to reject SQL injection patterns in findPersonID parameter
Modify patientslist.do to sanitize findPersonID input using regex: ^[a-zA-Z0-9\s]*$
WAF Rule
allDeploy web application firewall rules to block SQL injection patterns
Add WAF rule: Detect and block requests containing SQL keywords (UNION, SELECT, INSERT, etc.) in findPersonID parameter
🧯 If You Can't Patch
- Implement network segmentation to isolate OpenClinic GA from other critical systems
- Enable detailed SQL query logging and monitor for injection patterns in application logs
🔍 How to Verify
Check if Vulnerable:
Test findPersonID parameter with SQL injection payload: patientslist.do?findPersonID=1' OR '1'='1Check Version:
Check OpenClinic GA version in application interface or configuration filesVerify Fix Applied:
Attempt same SQL injection test after patch - should return error or no data instead of executing query📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in application logs
- Unusual database queries from web application user
- Multiple failed login attempts followed by patientslist.do access
Network Indicators:
- HTTP requests to patientslist.do with SQL keywords in parameters
- Unusual database traffic patterns from application server
SIEM Query:
source="web_logs" AND uri="/patientslist.do" AND (param="*UNION*" OR param="*SELECT*" OR param="*INSERT*")