CVE-2025-5716
📋 TL;DR
This critical SQL injection vulnerability in SourceCodester Open Source Clinic Management System 1.0 allows attackers to manipulate database queries via the email parameter in /login.php. Attackers can remotely execute arbitrary SQL commands, potentially compromising the entire database. All users running version 1.0 are affected.
💻 Affected Systems
- SourceCodester Open Source Clinic Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Unauthorized access to sensitive patient records, appointment data, and administrative credentials stored in the database.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or partial data exposure.
🎯 Exploit Status
Exploit details are publicly available on GitHub. SQL injection via login page requires no authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.sourcecodester.com/
Restart Required: No
Instructions:
No official patch available. Check vendor website for updates. Consider migrating to alternative software.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side input validation to sanitize email parameter before SQL processing
Implement parameterized queries or prepared statements in login.php
Web Application Firewall
allDeploy WAF with SQL injection rules to block malicious requests
Configure WAF to block SQL injection patterns targeting /login.php
🧯 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 server
🔍 How to Verify
Check if Vulnerable:
Test /login.php endpoint with SQL injection payloads in email parameter (e.g., ' OR '1'='1)Check Version:
Check system version in admin panel or readme filesVerify Fix Applied:
Verify parameterized queries are implemented and SQL injection attempts return proper error handling📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in email parameter logs
- Multiple failed login attempts with SQL patterns
- Database error messages in web logs
Network Indicators:
- HTTP POST requests to /login.php containing SQL keywords in email parameter
- Unusual database connection patterns from web server
SIEM Query:
source="web_logs" AND uri="/login.php" AND (email="*OR*" OR email="*UNION*" OR email="*SELECT*" OR email="*--*")