CVE-2022-3760
📋 TL;DR
This SQL injection vulnerability in Mia Technology's Mia-Med software allows attackers to execute arbitrary SQL commands by injecting malicious input. It affects all Mia-Med installations before version 1.0.0.58, potentially compromising medical data systems.
💻 Affected Systems
- Mia Technology Mia-Med
📦 What is this software?
Mia Med by Miateknoloji
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including patient medical records, authentication bypass, remote code execution on database server, and potential data destruction.
Likely Case
Unauthorized access to sensitive medical data, patient record exfiltration, and potential manipulation of medical information.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
SQL injection vulnerabilities typically have low exploitation complexity, especially with public details available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 1.0.0.58 or later
Vendor Advisory: https://www.usom.gov.tr/bildirim/tr-23-0130
Restart Required: Yes
Instructions:
1. Download Mia-Med version 1.0.0.58 or later from official vendor sources. 2. Backup current installation and data. 3. Stop Mia-Med service. 4. Install updated version. 5. Restart service and verify functionality.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Network Segmentation
allIsolate Mia-Med systems from internet and restrict internal access
🧯 If You Can't Patch
- Implement strict input validation and parameterized queries in application code
- Deploy database activity monitoring and alert on suspicious SQL queries
🔍 How to Verify
Check if Vulnerable:
Check Mia-Med version in application interface or configuration files. If version is below 1.0.0.58, system is vulnerable.Check Version:
Check application interface or consult Mia-Med documentation for version checking methodVerify Fix Applied:
Confirm version is 1.0.0.58 or higher and test SQL injection attempts are properly rejected.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns
- Multiple failed login attempts with SQL syntax
- Database error messages containing SQL fragments
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, DROP, etc.)
- Unusual database connection patterns
SIEM Query:
source="mia-med" AND ("sql" OR "union" OR "select" OR "drop" OR "insert")