CVE-2023-3047
📋 TL;DR
This SQL injection vulnerability in TMT Lockcell allows attackers to execute arbitrary SQL commands on the database. It affects all Lockcell versions before 15, potentially compromising sensitive data and system integrity.
💻 Affected Systems
- TMT Lockcell
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, authentication bypass, and potential remote code execution on the database server.
Likely Case
Unauthorized data access, extraction of sensitive information, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permissions in place.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited and tooling for exploitation is widely available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Version 15 or later
Vendor Advisory: Not provided in references
Restart Required: Yes
Instructions:
1. Download Lockcell version 15 or later from official vendor sources. 2. Backup current installation and data. 3. Install the updated version following vendor instructions. 4. Restart the application/service.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
Input Validation
allImplement strict input validation on all user inputs to reject SQL special characters.
🧯 If You Can't Patch
- Isolate the vulnerable system from untrusted networks using network segmentation
- Implement strict database permissions and principle of least privilege
🔍 How to Verify
Check if Vulnerable:
Check Lockcell version number in application interface or configuration files. If version is below 15, system is vulnerable.Check Version:
Check application documentation for version check method - typically in web interface or configuration files.Verify Fix Applied:
Confirm version is 15 or higher and test SQL injection attempts are properly blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual database queries
- SQL syntax errors in application logs
- Multiple failed login attempts with SQL characters
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, DROP, etc.)
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND ("SELECT" OR "UNION" OR "DROP" OR "INSERT" OR "UPDATE") AND status=200