CVE-2020-28960
📋 TL;DR
Chichen Tech CMS v1.0 contains SQL injection vulnerabilities in product_list.php via id and cid parameters. Attackers can execute arbitrary SQL commands, potentially compromising the database. All users running this specific version are affected.
💻 Affected Systems
- Chichen Tech CMS
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, authentication bypass, or remote code execution via database functions.
Likely Case
Database information disclosure, data manipulation, or authentication bypass leading to unauthorized access.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing exploitation.
🎯 Exploit Status
SQL injection via URL parameters requires minimal technical skill. Public proof-of-concept exists in vulnerability reports.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch available. Consider upgrading to a newer version if available, or implement workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for id and cid parameters in product_list.php
Modify product_list.php to use prepared statements instead of direct parameter concatenation
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns in URL parameters
Configure WAF to detect and block SQL injection attempts in GET parameters
🧯 If You Can't Patch
- Restrict access to product_list.php using IP whitelisting or authentication
- Implement database user with minimal privileges for the application
🔍 How to Verify
Check if Vulnerable:
Test product_list.php with SQL injection payloads in id and cid parameters (e.g., product_list.php?id=1' OR '1'='1)Check Version:
Check CMS version in admin panel or configuration filesVerify Fix Applied:
Test with SQL injection payloads after implementing fixes to ensure they are blocked📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple requests with SQL keywords in parameters
- Requests to product_list.php with suspicious parameter values
Network Indicators:
- HTTP requests containing SQL keywords like UNION, SELECT, OR 1=1 in URL parameters
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND (url="*product_list.php*" AND (param="*id=*'*" OR param="*cid=*'*" OR param="*UNION*" OR param="*SELECT*"))