CVE-2022-30391
📋 TL;DR
Merchandise Online Store v1.0 contains a SQL injection vulnerability in the delete_category function that allows attackers to execute arbitrary SQL commands. This affects all installations of the vulnerable software version. Attackers can potentially access, modify, or delete database contents.
💻 Affected Systems
- Merchandise Online Store
📦 What is this software?
Merchandise Online Store by Merchandise Online Store Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution via database functions.
Likely Case
Unauthorized data access, data manipulation, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Public proof-of-concept available on GitHub, SQL injection via URL parameter
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
1. Replace vulnerable code with parameterized queries
2. Implement proper input validation
3. Sanitize all user inputs before database operations
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting the vulnerable endpoint
Access Restriction
linuxRestrict access to /vloggers_merch/classes/Master.php via web server configuration
# Apache:
<Location "/vloggers_merch/classes/Master.php">
Order deny,allow
Deny from all
</Location>
# Nginx:
location /vloggers_merch/classes/Master.php {
deny all;
}
🧯 If You Can't Patch
- Implement network segmentation to isolate the vulnerable system
- Enable detailed logging and monitoring for suspicious database queries
🔍 How to Verify
Check if Vulnerable:
Test the endpoint with SQL injection payloads: /vloggers_merch/classes/Master.php?f=delete_category&id=1' OR '1'='1Check Version:
Check application version in configuration files or admin panelVerify Fix Applied:
Verify parameterized queries are implemented and test with SQL injection payloads that should be rejected📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed delete_category requests with SQL syntax
Network Indicators:
- HTTP requests to Master.php with SQL keywords in parameters
- Unusual database query patterns from web server
SIEM Query:
source="web_logs" AND uri="/vloggers_merch/classes/Master.php" AND (query_string="*delete_category*" AND (query_string="*' OR*" OR query_string="*UNION*" OR query_string="*SELECT*"))