CVE-2025-22957
📋 TL;DR
An unauthenticated SQL injection vulnerability in ZZCMS front-end allows attackers to execute arbitrary SQL commands against the database. This affects all ZZCMS installations version 2023 and earlier, potentially exposing sensitive data like user credentials, personal information, and system configurations.
💻 Affected Systems
- ZZCMS
📦 What is this software?
Zzcms by Zzcms
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data exfiltration, privilege escalation, and potential remote code execution through database functions.
Likely Case
Unauthorized data extraction including user credentials, personal information, and sensitive application data.
If Mitigated
Limited impact with proper input validation and WAF protection, though SQL injection attempts may still be logged.
🎯 Exploit Status
Unauthenticated exploitation with standard SQL injection techniques; no special requirements beyond network access.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Version after 2023
Vendor Advisory: http://www.zzcms.net/
Restart Required: No
Instructions:
1. Upgrade to latest ZZCMS version after 2023. 2. Apply vendor-provided patches if available. 3. Test application functionality after upgrade.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Input Validation Filter
allImplement application-level input validation for all user inputs
🧯 If You Can't Patch
- Isolate ZZCMS instance behind strict network segmentation
- Implement database-level controls: least privilege accounts, stored procedures, and query whitelisting
🔍 How to Verify
Check if Vulnerable:
Test front-end forms with SQL injection payloads (e.g., ' OR '1'='1) and monitor for database errors or unexpected behavior.Check Version:
Check ZZCMS version in admin panel or configuration filesVerify Fix Applied:
After patching, retest with SQL injection payloads and verify proper error handling without database exposure.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in web logs
- Database error messages in application logs
- Multiple failed login attempts from single IP
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, etc.)
- Abnormal database query patterns
SIEM Query:
source="web_logs" AND ("' OR" OR "UNION SELECT" OR "--" OR ";--")