CVE-2023-6647
📋 TL;DR
This critical SQL injection vulnerability in AMTT HiBOS 1.0 allows attackers to manipulate database queries via the Type parameter. Remote attackers can potentially execute arbitrary SQL commands, leading to data theft, modification, or system compromise. All systems running the affected software are vulnerable.
💻 Affected Systems
- AMTT HiBOS
📦 What is this software?
Hibos by Amttgroup
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data exfiltration, data destruction, privilege escalation to system-level access, and potential remote code execution.
Likely Case
Unauthorized data access and extraction, database manipulation, and potential authentication bypass.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub. Remote exploitation is possible without authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: No
Instructions:
No official patch available. Vendor was contacted but did not respond. Consider workarounds or alternative software.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection rules to block malicious requests targeting the Type parameter.
Input Validation Filter
allImplement server-side input validation to sanitize the Type parameter before processing.
🧯 If You Can't Patch
- Isolate the affected system from the internet and restrict network access to only necessary connections.
- Implement strict monitoring and alerting for SQL injection attempts in application logs.
🔍 How to Verify
Check if Vulnerable:
Check if AMTT HiBOS version 1.0 is installed. Test the Type parameter with SQL injection payloads (use authorized testing only).
Check Version:
Check application documentation or interface for version information. No standard command available.
Verify Fix Applied:
Verify that SQL injection attempts on the Type parameter are properly blocked or sanitized.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts or parameter manipulation attempts
Network Indicators:
- HTTP requests with SQL keywords in Type parameter (SELECT, UNION, INSERT, etc.)
- Unusual database connection patterns
SIEM Query:
Example: http.request.uri contains "Type=" AND (http.request.uri contains "SELECT" OR "UNION" OR "INSERT")