CVE-2024-7751
📋 TL;DR
This is a critical SQL injection vulnerability in SourceCodester Clinics Patient Management System 1.0 that allows attackers to execute arbitrary SQL commands through the hidden_id parameter in /update_medicine.php. The vulnerability can be exploited remotely without authentication, potentially leading to data theft, manipulation, or system compromise. Healthcare organizations using this specific patient management system are affected.
💻 Affected Systems
- SourceCodester Clinics Patient Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including patient medical records, administrative credentials theft, and potential remote code execution leading to full system takeover.
Likely Case
Unauthorized access to sensitive patient data (PII/PHI), modification of medical records, and potential ransomware deployment.
If Mitigated
Limited data exposure if proper input validation and WAF rules are in place, but system remains vulnerable to skilled attackers.
🎯 Exploit Status
Public exploit code is available on GitHub, making this easily weaponizable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: No
Instructions:
1. Check SourceCodester website for security updates 2. If patch available, download and apply 3. Test functionality after patching 4. Monitor for any issues
🔧 Temporary Workarounds
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns targeting /update_medicine.php
# Example ModSecurity rule: SecRule ARGS:hidden_id "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQLi attempt detected'"
Input Validation Filter
allAdd server-side validation to sanitize hidden_id parameter before processing
# PHP example: $hidden_id = filter_var($_POST['hidden_id'], FILTER_SANITIZE_NUMBER_INT);
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input validation
- Implement network segmentation to limit database access from web servers
🔍 How to Verify
Check if Vulnerable:
Test /update_medicine.php endpoint with SQL injection payloads in hidden_id parameter and observe database errors or unexpected responses.Check Version:
Check system documentation or admin panel for version information; typically displayed in footer or about page.Verify Fix Applied:
Attempt the same SQL injection tests after remediation; successful fixes should return proper error handling without database exposure.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web server logs
- Multiple failed requests to /update_medicine.php with SQL keywords
- Unexpected database query patterns
Network Indicators:
- SQL injection payloads in POST requests to /update_medicine.php
- Unusual outbound database connections from web server
SIEM Query:
source="web_logs" AND uri="/update_medicine.php" AND (message="sql" OR message="union" OR message="select" OR message="insert")