CVE-2024-50833
📋 TL;DR
This SQL injection vulnerability in the KASHIPARA E-learning Management System login page allows attackers to execute arbitrary SQL commands through username and password fields. It affects all users of version 1.0, potentially leading to authentication bypass, data theft, or complete system compromise.
💻 Affected Systems
- KASHIPARA E-learning Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including credential theft, data exfiltration, and potential remote code execution leading to full system takeover.
Likely Case
Authentication bypass allowing unauthorized access to the e-learning system, followed by data extraction and privilege escalation.
If Mitigated
Limited impact with proper input validation, parameterized queries, and WAF protection in place.
🎯 Exploit Status
Public proof-of-concept available in GitHub repository. Exploitation requires no authentication and uses simple SQL injection techniques.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries in /login.php to sanitize username and password inputs.
🔧 Temporary Workarounds
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns in login parameters
Input Validation
allAdd server-side input validation to reject SQL special characters in username and password fields
🧯 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 web application
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads like ' OR '1'='1 in username/password fieldsCheck Version:
Check system documentation or configuration files for version informationVerify Fix Applied:
Attempt SQL injection after implementing parameterized queries - should return authentication failure instead of successful login📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed login attempts with SQL patterns
- Successful logins from unexpected IPs
Network Indicators:
- SQL keywords in HTTP POST requests to /login.php
- Unusually long username/password parameters
SIEM Query:
source="web_logs" AND uri="/login.php" AND (request_body CONTAINS "' OR" OR request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT *")