CVE-2024-44653
📋 TL;DR
Kashipara Ecommerce Website 1.0 contains a SQL injection vulnerability in the user_login.php file via the user_email parameter. This allows attackers to execute arbitrary SQL commands on the database. All users running this specific ecommerce software version are affected.
💻 Affected Systems
- Kashipara Ecommerce Website
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including theft of customer data, admin credentials, payment information, and potential remote code execution on the database server.
Likely Case
Authentication bypass allowing unauthorized access to user accounts, data exfiltration of customer information, and potential privilege escalation.
If Mitigated
Limited information disclosure if input validation and parameterized queries are implemented, with minimal impact on system integrity.
🎯 Exploit Status
SQL injection via user_email parameter in login endpoint requires no authentication. Public GitHub repository contains proof-of-concept details.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: No
Instructions:
1. Download the latest version from Kashipara if available. 2. Replace user_login.php with patched version. 3. Implement parameterized queries for all database interactions. 4. Add input validation for email parameters.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation to ensure user_email parameter only contains valid email format characters
// PHP example: if(!filter_var($user_email, FILTER_VALIDATE_EMAIL)) { die('Invalid email'); }
Web Application Firewall (WAF) Rules
allDeploy WAF rules to block SQL injection patterns in login requests
# Example ModSecurity rule: SecRule ARGS:user_email "@detectSQLi" "id:1001,phase:2,deny,status:403"
🧯 If You Can't Patch
- Implement network segmentation to isolate the ecommerce system from sensitive databases
- Deploy a web application firewall with SQL injection detection rules
🔍 How to Verify
Check if Vulnerable:
Test user_login.php endpoint with SQL injection payloads in user_email parameter (e.g., ' OR '1'='1)
Check Version:
Check PHP files for version comments or review project documentation
Verify Fix Applied:
Attempt SQL injection attacks against the patched user_login.php endpoint and verify they are blocked
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts with SQL-like patterns in parameters
- Successful logins from unexpected IP addresses
Network Indicators:
- HTTP POST requests to user_login.php containing SQL keywords in parameters
- Abnormal database query patterns from web server
SIEM Query:
source="web_logs" AND uri="/user_login.php" AND (user_email CONTAINS "OR" OR user_email CONTAINS "UNION" OR user_email CONTAINS "SELECT")