CVE-2023-41615
📋 TL;DR
Zoo Management System v1.0 contains SQL injection vulnerabilities in the admin login page that allow attackers to bypass authentication and execute arbitrary SQL commands. This affects all systems running this specific version of the software. Attackers can potentially gain administrative access and compromise the entire database.
💻 Affected Systems
- Zoo Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise including database takeover, data exfiltration, privilege escalation to system level, and potential ransomware deployment.
Likely Case
Authentication bypass leading to unauthorized admin access, data manipulation, and potential lateral movement within the network.
If Mitigated
Failed login attempts logged, no data exposure if proper input validation and parameterized queries are implemented.
🎯 Exploit Status
SQL injection in login fields is well-documented and easily weaponized with automated tools like sqlmap.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None found
Restart Required: No
Instructions:
1. Replace vulnerable login.php file with secure version using parameterized queries
2. Implement input validation and sanitization
3. Update all SQL queries to use prepared statements
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns in login requests
Input Validation Filter
linuxAdd PHP input validation before processing login credentials
// Add to login.php before SQL query:
$username = mysqli_real_escape_string($conn, $_POST['username']);
$password = mysqli_real_escape_string($conn, $_POST['password']);
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement network segmentation to limit database access
🔍 How to Verify
Check if Vulnerable:
Test login page with SQL injection payloads like: admin' OR '1'='1Check Version:
Check PHP files for version comments or system info pageVerify Fix Applied:
Attempt SQL injection attacks and verify they fail with proper error handling📡 Detection & Monitoring
Log Indicators:
- Multiple failed login attempts with SQL syntax in username/password fields
- Unusual admin login from unexpected IP addresses
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords like UNION, SELECT, OR
SIEM Query:
source="web_logs" AND (uri="/login.php" OR uri="/admin/login.php") AND (request_body LIKE "%OR%" OR request_body LIKE "%UNION%" OR request_body LIKE "%SELECT%")🔗 References
- https://medium.com/%40guravtushar231/sql-injection-in-login-field-a9073780f7e8
- https://phpgurukul.com/student-management-system-using-php-and-mysql/
- https://portswigger.net/web-security/sql-injection
- https://medium.com/%40guravtushar231/sql-injection-in-login-field-a9073780f7e8
- https://phpgurukul.com/student-management-system-using-php-and-mysql/
- https://portswigger.net/web-security/sql-injection
