CVE-2020-21400
📋 TL;DR
This SQL injection vulnerability in PHPMyWind v5.6 allows remote attackers to execute arbitrary SQL commands via the 'id' parameter in the modify function. Attackers can potentially read, modify, or delete database content. All users running PHPMyWind v5.6 are affected.
💻 Affected Systems
- PHPMyWind
📦 What is this software?
Phpmywind by Phpmywind
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or remote code execution via database functions.
Likely Case
Unauthorized data access, privilege escalation, or database manipulation.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
SQL injection via GET/POST parameters is well-understood and easily automated.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: https://github.com/gaozhifeng/PHPMyWind/issues/11
Restart Required: No
Instructions:
No official patch exists. Consider upgrading to a newer version if available, or implement manual fixes.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd proper input validation and parameterized queries to the modify function.
Edit the PHP file containing the modify function to use prepared statements with parameterized queries.
Web Application Firewall (WAF)
allDeploy a WAF to block SQL injection attempts.
Configure WAF rules to detect and block SQL injection patterns in the 'id' parameter.
🧯 If You Can't Patch
- Implement network segmentation to restrict access to the vulnerable application.
- Enable detailed logging and monitoring for SQL injection attempts.
🔍 How to Verify
Check if Vulnerable:
Check if running PHPMyWind v5.6 and review the modify function for unsanitized 'id' parameter usage.
Check Version:
Check the PHPMyWind version in the application's configuration files or admin panel.
Verify Fix Applied:
Test the modify function with SQL injection payloads to ensure they are blocked or sanitized.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed login attempts or parameter manipulation
Network Indicators:
- HTTP requests with SQL injection patterns in the 'id' parameter
SIEM Query:
source="web_logs" AND (id="' OR '1'='1" OR id="' UNION SELECT" OR id="' AND SLEEP")