CVE-2025-13267
📋 TL;DR
This vulnerability allows remote attackers to execute SQL injection attacks against the Dental Clinic Appointment Reservation System 1.0 by manipulating username/password parameters in the /success.php file. Attackers can potentially access, modify, or delete database contents. All users running the vulnerable version are affected.
💻 Affected Systems
- SourceCodester Dental Clinic Appointment Reservation System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential system takeover.
Likely Case
Unauthorized data access, credential theft, and potential manipulation of appointment records.
If Mitigated
Limited impact with proper input validation and database permissions in place.
🎯 Exploit Status
Public exploit details available on GitHub. Time-based SQL injection technique documented.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.sourcecodester.com/
Restart Required: No
Instructions:
No official patch available. Consider upgrading to a newer version if available or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement parameterized queries and input validation for username/password parameters
Modify /success.php to use prepared statements: $stmt = $conn->prepare('SELECT * FROM users WHERE username = ? AND password = ?'); $stmt->bind_param('ss', $username, $password);
Web Application Firewall Rules
allDeploy WAF rules to block SQL injection patterns
Add WAF rule: deny patterns containing UNION, SELECT, INSERT, DELETE, DROP, --, #, /*, */ in username/password parameters
🧯 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 /success.php endpoint with SQL injection payloads in username/password parameters and observe time delays or error responsesCheck Version:
Check system documentation or admin panel for version informationVerify Fix Applied:
Test with same payloads after fixes - should receive generic error messages without database details or time delays📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL patterns
- Long response times from /success.php
Network Indicators:
- HTTP requests to /success.php containing SQL keywords in parameters
- Unusual database query patterns from application server
SIEM Query:
source=web_logs AND uri_path="/success.php" AND (param="*UNION*" OR param="*SELECT*" OR param="*--*" OR param="*/*")