CVE-2025-4548
📋 TL;DR
A critical SQL injection vulnerability in Campcodes Online Food Ordering System 1.0 allows remote attackers to execute arbitrary SQL commands via the Username parameter in /routers/router.php. This can lead to unauthorized data access, modification, or deletion. All users running version 1.0 are affected.
💻 Affected Systems
- Campcodes Online Food Ordering System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized access to sensitive data (user credentials, payment information, order history) and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Public exploit available on GitHub, making exploitation straightforward for attackers.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.campcodes.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to a different food ordering system or implementing custom fixes.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for the Username parameter.
Modify /routers/router.php to use prepared statements with parameterized queries
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules.
Configure WAF to block SQL injection patterns in Username parameter
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test the Username parameter in /routers/router.php with SQL injection payloads (e.g., ' OR '1'='1).
Check Version:
Check system documentation or configuration files for version information.
Verify Fix Applied:
Verify that SQL injection payloads no longer work and that parameterized queries are implemented.
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL-like patterns
Network Indicators:
- HTTP requests containing SQL keywords in Username parameter
- Unusual database query patterns
SIEM Query:
source="web_logs" AND (Username="*OR*" OR Username="*UNION*" OR Username="*SELECT*" OR Username="*INSERT*")