CVE-2025-14249
📋 TL;DR
CVE-2025-14249 is a SQL injection vulnerability in code-projects Online Ordering System 1.0 that allows attackers to manipulate database queries through the product_id parameter in /user_school.php. This enables unauthorized data access, modification, or deletion. All users running version 1.0 of this system are affected.
💻 Affected Systems
- code-projects Online Ordering 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 remote code execution.
Likely Case
Unauthorized access to sensitive data including customer information, order details, and potentially administrative credentials.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to non-critical data.
🎯 Exploit Status
Exploit details are publicly available on GitHub and vuldb.com, making this easily exploitable.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
1. Check code-projects.org for security updates. 2. If no patch exists, implement workarounds. 3. Consider replacing with supported software.
🔧 Temporary Workarounds
Input Validation and Parameterized Queries
allImplement proper input validation and use parameterized queries to prevent SQL injection.
Modify /user_school.php to use prepared statements with bound parameters for product_id
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules.
Configure WAF to block SQL injection patterns in product_id parameter
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement network segmentation to limit database access from web servers
🔍 How to Verify
Check if Vulnerable:
Test /user_school.php with SQL injection payloads in product_id parameter and monitor for database errors or unexpected responses.Check Version:
Check system documentation or configuration files for version information.Verify Fix Applied:
Retest with SQL injection payloads after implementing fixes; successful attacks should be blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts from single IP
- Unexpected database errors in application logs
Network Indicators:
- SQL injection patterns in HTTP requests to /user_school.php
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND uri="/user_school.php" AND (query="*sql*" OR query="*union*" OR query="*select*" OR query="*insert*")