CVE-2025-64092
📋 TL;DR
This CVE describes an unauthenticated SQL injection vulnerability in Zenitel products that allows attackers to inject SQL queries via GET request parameters. Attackers can directly query the underlying database without authentication. Organizations using affected Zenitel products are vulnerable.
💻 Affected Systems
- Zenitel products (specific models not detailed in provided reference)
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data exfiltration, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Data theft from the database, including sensitive information like credentials, configuration data, and user information.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only allowing read-only queries to non-sensitive tables.
🎯 Exploit Status
SQL injection via GET parameters is typically straightforward to exploit with common SQL injection tools.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not specified in provided reference
Vendor Advisory: https://www.zenitel.com/sites/default/files/2025-12/A100K12333%20Zenitel%20Security%20Advisory.pdf
Restart Required: Yes
Instructions:
1. Review the Zenitel security advisory. 2. Identify affected products. 3. Apply vendor-provided patches. 4. Restart affected systems. 5. Verify the fix.
🔧 Temporary Workarounds
Input Validation Web Application Firewall
allDeploy a WAF with SQL injection rules to filter malicious requests
Network Segmentation
allRestrict access to Zenitel web interfaces to trusted networks only
🧯 If You Can't Patch
- Implement strict network access controls to limit exposure
- Deploy database monitoring to detect SQL injection attempts
🔍 How to Verify
Check if Vulnerable:
Test web interface endpoints with SQL injection payloads in GET parameters
Check Version:
Check product version via web interface or device management interface
Verify Fix Applied:
Retest with SQL injection payloads after patching to confirm they are blocked
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web logs
- Requests with SQL keywords in GET parameters
- Multiple failed login attempts followed by SQL injection attempts
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, INSERT, etc.) in URL parameters
- Unusual database connection patterns from web servers
SIEM Query:
web.url:*SELECT* OR web.url:*UNION* OR web.url:*INSERT* OR web.url:*DELETE*