CVE-2024-44660
📋 TL;DR
PHPGurukul Online Shopping Portal 2.0 contains SQL injection vulnerabilities in the login.php page through the fullname, emailid, and contactno parameters. This allows attackers to execute arbitrary SQL commands on the database. All users running this specific version of the shopping portal are affected.
💻 Affected Systems
- PHPGurukul Online Shopping Portal
📦 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 if database functions allow it.
Likely Case
Unauthorized access to sensitive customer data (personal information, payment details), administrative credentials theft, and potential website defacement.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only error messages or partial data exposure.
🎯 Exploit Status
SQL injection via login page parameters is well-understood and easily automated. Public proof-of-concept exists in GitHub repository.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch available. Consider implementing parameterized queries and input validation as workaround.
🔧 Temporary Workarounds
Implement Parameterized Queries
allReplace direct SQL concatenation with prepared statements using PDO or mysqli
Input Validation and Sanitization
allAdd strict input validation for fullname, emailid, and contactno parameters
🧯 If You Can't Patch
- Implement web application firewall (WAF) with SQL injection rules
- Restrict database user permissions to minimum required
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads in fullname, emailid, or contactno parameters and observe database errors or unexpected behavior.Check Version:
Check version in application files or admin panel if availableVerify Fix Applied:
Test with same SQL injection payloads after implementing fixes - should receive proper error handling without database errors.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL-like patterns in parameters
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords in parameters
SIEM Query:
source="web_logs" AND uri="*/login.php" AND (param="fullname" OR param="emailid" OR param="contactno") AND (value="' OR" OR value="' UNION" OR value="' SELECT" OR value="' --")