CVE-2024-51102
📋 TL;DR
This CVE describes SQL injection vulnerabilities in PHPGURUKUL Student Management System v1's login page. Attackers can inject malicious SQL code through username and password fields, potentially bypassing authentication or extracting database information. Organizations using this specific software version are affected.
💻 Affected Systems
- PHPGURUKUL Student Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, or system takeover
Likely Case
Authentication bypass allowing unauthorized access to student management system
If Mitigated
Failed login attempts logged with no data compromise if input validation is implemented
🎯 Exploit Status
Public proof-of-concept available in GitHub repository; exploitation requires no authentication
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
1. Review the provided GitHub writeup for vulnerability details
2. Manually implement parameterized queries or input validation
3. Replace raw SQL queries with prepared statements in login.php
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious payloads
Input Validation
allImplement server-side input validation for username and password fields
🧯 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.php with SQL injection payloads like ' OR '1'='1 in username/password fieldsCheck Version:
Check software version in system documentation or configuration filesVerify Fix Applied:
Attempt SQL injection after implementing parameterized queries; successful attacks should fail📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed logins with special characters
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords
SIEM Query:
source="web_logs" AND uri="/login.php" AND (request CONTAINS "OR" OR request CONTAINS "UNION" OR request CONTAINS "SELECT")