CVE-2025-11612
📋 TL;DR
This SQL injection vulnerability in Simple Food Ordering System 1.0 allows attackers to manipulate database queries through the Category parameter in /addproduct.php. Attackers can potentially read, modify, or delete database content. All deployments of Simple Food Ordering System 1.0 are affected.
💻 Affected Systems
- Simple Food Ordering System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, or complete system takeover via SQL injection leading to remote code execution.
Likely Case
Unauthorized data access, data manipulation, or privilege escalation through SQL injection attacks.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing successful exploitation.
🎯 Exploit Status
Exploit details are publicly available in GitHub issues. Attack requires access to /addproduct.php endpoint.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries and input validation in /addproduct.php.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation for Category parameter to reject malicious SQL characters.
Web Application Firewall Rules
allDeploy WAF rules to block SQL injection patterns targeting /addproduct.php endpoint.
🧯 If You Can't Patch
- Restrict access to /addproduct.php endpoint using network controls or authentication
- Implement database user with minimal privileges for the application
🔍 How to Verify
Check if Vulnerable:
Test /addproduct.php endpoint with SQL injection payloads in Category parameter and monitor for database errors or unexpected behavior.Check Version:
Check application version in admin panel or configuration files.Verify Fix Applied:
Test with SQL injection payloads after implementing fixes and verify proper error handling and no database manipulation.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts or parameter manipulation in web logs
Network Indicators:
- Unusual traffic patterns to /addproduct.php
- SQL error messages in HTTP responses
SIEM Query:
source="web_logs" AND uri="/addproduct.php" AND (param="Category" AND value CONTAINS "' OR " OR "--" OR ";")