CVE-2022-30386
📋 TL;DR
Merchandise Online Store v1.0 contains a SQL injection vulnerability in the delete_featured function that allows attackers to execute arbitrary SQL commands. This affects all deployments of this specific e-commerce software version. Attackers can potentially access, modify, or delete database content through this vulnerability.
💻 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 leading to data theft, data destruction, authentication bypass, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized data access and manipulation, potentially exposing customer information, order data, and administrative credentials.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
The GitHub reference shows detailed exploitation steps with payload examples. SQL injection vulnerabilities are commonly weaponized.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries in Master.php delete_featured function and validate all user inputs.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
Input Validation
allAdd server-side validation to sanitize all inputs to the delete_featured function.
🧯 If You Can't Patch
- Block access to /vloggers_merch/classes/Master.php at network perimeter or web server level
- Implement strict database user permissions with least privilege principle
🔍 How to Verify
Check if Vulnerable:
Test the endpoint with SQL injection payloads like ' OR '1'='1 in parameters to the delete_featured function.Check Version:
Check software version in configuration files or admin panel.Verify Fix Applied:
Verify that parameterized queries are implemented and test with SQL injection payloads that should be rejected.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web server logs
- Multiple requests to Master.php with suspicious parameters
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, etc.) in URL parameters
SIEM Query:
web.url:*Master.php* AND (web.param:*OR* OR web.param:*UNION* OR web.param:*SELECT*)