CVE-2025-15239
📋 TL;DR
QOCA aim AI Medical Cloud Platform has a SQL injection vulnerability that allows authenticated remote attackers to execute arbitrary SQL commands and read database contents. This affects healthcare organizations using Quanta Computer's medical cloud platform with vulnerable versions.
💻 Affected Systems
- QOCA aim AI Medical Cloud Platform
📦 What is this software?
Qoca Aim by Quantatw
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including sensitive patient health information (PHI), medical records, user credentials, and potential lateral movement to other systems.
Likely Case
Unauthorized access to patient data, medical records, and system configuration information leading to data breach and regulatory violations.
If Mitigated
Limited data exposure if proper input validation and database permissions are enforced, but still represents a security weakness.
🎯 Exploit Status
Requires authenticated access but SQL injection vulnerabilities are commonly exploited.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not specified in references - contact vendor for patched version.
Vendor Advisory: https://www.twcert.org.tw/en/cp-139-10616-cd942-2.html
Restart Required: Yes
Instructions:
1. Contact Quanta Computer for patched version. 2. Apply vendor-provided patch. 3. Restart application services. 4. Verify fix implementation.
🔧 Temporary Workarounds
Input Validation Enhancement
allImplement strict input validation and parameterized queries at application layer.
Database Permission Reduction
allLimit database user permissions to minimum required for application functionality.
🧯 If You Can't Patch
- Implement web application firewall (WAF) with SQL injection rules
- Isolate the vulnerable system from sensitive networks and implement strict access controls
🔍 How to Verify
Check if Vulnerable:
Test for SQL injection using safe testing methods on authenticated endpoints. Check with vendor for vulnerability assessment tools.Check Version:
Check application version through admin interface or contact vendor support.Verify Fix Applied:
Verify parameterized queries are implemented and test with SQL injection payloads that should be rejected.📡 Detection & Monitoring
Log Indicators:
- Unusual database query patterns
- Multiple failed login attempts followed by SQL-like queries
- Database error messages in application logs
Network Indicators:
- SQL keywords in HTTP POST/GET parameters
- Unusual database connection patterns from application servers
SIEM Query:
source="application_logs" AND ("sql" OR "database" OR "query") AND ("error" OR "exception" OR "injection")