CVE-2025-0195
📋 TL;DR
This critical SQL injection vulnerability in Point of Sales and Inventory Management System 1.0 allows remote attackers to execute arbitrary SQL commands via the 'id' parameter in /user/del_product.php. Attackers can potentially access, modify, or delete database content. All users running the affected software are at risk.
💻 Affected Systems
- Point of Sales and Inventory Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or full system takeover via SQL injection to RCE chaining
Likely Case
Unauthorized data access, privilege escalation, or data manipulation in the POS/inventory database
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to specific tables
🎯 Exploit Status
Public exploit code available on GitHub gist, simple SQL injection requiring minimal technical skill
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to supported software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameter validation and sanitization to the id parameter in del_product.php
Modify /user/del_product.php to validate id parameter as integer: if(!is_numeric($_GET['id'])) { die('Invalid input'); }
Web Application Firewall Rules
allBlock SQL injection patterns targeting /user/del_product.php
WAF rule: deny requests to /user/del_product.php containing SQL keywords in parameters
🧯 If You Can't Patch
- Isolate the system on a separate network segment with strict access controls
- Implement database-level protections: use least privilege accounts, enable audit logging
🔍 How to Verify
Check if Vulnerable:
Test /user/del_product.php?id=1' OR '1'='1 and observe SQL error or unexpected behaviorCheck Version:
Check software version in admin panel or readme filesVerify Fix Applied:
Test with SQL injection payloads and verify proper error handling or rejection📡 Detection & Monitoring
Log Indicators:
- SQL syntax errors in web server logs
- Unusual database queries from web application user
- Multiple failed delete operations
Network Indicators:
- HTTP requests to /user/del_product.php with SQL keywords in parameters
- Unusual database traffic patterns
SIEM Query:
source="web_logs" AND uri="/user/del_product.php" AND (param="id" AND value MATCHES "[';]|UNION|SELECT|OR")