CVE-2020-20300
📋 TL;DR
This CVE describes a SQL injection vulnerability in the wp_where function of WeiPHP 5.0, allowing attackers to execute arbitrary SQL commands. It affects all users running vulnerable versions of WeiPHP, potentially compromising database integrity and confidentiality. The high CVSS score indicates critical severity requiring immediate attention.
💻 Affected Systems
- WeiPHP
📦 What is this software?
Weiphp by Weiphp
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, modification, deletion, or potential remote code execution via database functions.
Likely Case
Unauthorized data access, privilege escalation, and potential administrative account takeover.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Public exploit code exists in GitHub references; SQL injection typically requires minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
1. Check for official WeiPHP updates or patches. 2. If unavailable, implement workarounds. 3. Consider migrating to maintained alternatives.
🔧 Temporary Workarounds
Input Validation Sanitization
allImplement strict input validation and parameterized queries in wp_where function.
Manual code review and modification of vulnerable function
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns.
Depends on specific WAF platform (e.g., ModSecurity rules)
🧯 If You Can't Patch
- Isolate vulnerable system behind strict network segmentation
- Implement database-level controls: minimal privileges, query logging, and intrusion detection
🔍 How to Verify
Check if Vulnerable:
Review WeiPHP version and examine wp_where function for unsanitized user input in SQL queries.Check Version:
Check WeiPHP configuration files or admin panel for version information.Verify Fix Applied:
Test with SQL injection payloads; ensure queries use parameterized statements.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns in database logs
- Multiple failed login attempts or parameter manipulation
Network Indicators:
- HTTP requests with SQL keywords in parameters
- Abnormal database connection patterns
SIEM Query:
Example: search 'sql' OR 'union' OR 'select' in web server logs with status 200