CVE-2021-46110
📋 TL;DR
Online Shopping Portal v3.1 contains time-based SQL injection vulnerabilities in the email and contactno parameters, allowing attackers to execute arbitrary SQL commands and potentially access sensitive database information. This affects all deployments of version 3.1 of the software. Attackers can exploit these vulnerabilities without authentication.
💻 Affected Systems
- Online Shopping Portal
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, remote code execution, and full system takeover.
Likely Case
Extraction of sensitive user data (passwords, personal information, payment details), database manipulation, and potential privilege escalation.
If Mitigated
Limited information disclosure if proper input validation and parameterized queries are implemented.
🎯 Exploit Status
Time-based SQL injection is well-documented and automated tools exist for exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries and input validation as workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation for email and contactno parameters to reject malicious SQL characters.
Parameterized Queries
allReplace dynamic SQL queries with parameterized/prepared statements to prevent SQL injection.
🧯 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 email and contactno parameters with time-based SQL injection payloads (e.g., ' OR SLEEP(5)--).Check Version:
Check application version in admin panel or configuration files.Verify Fix Applied:
Retest with SQL injection payloads after implementing fixes; ensure no delayed responses occur.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in logs
- Multiple failed login attempts with SQL payloads
- Long response times for specific parameters
Network Indicators:
- HTTP requests containing SQL keywords (UNION, SELECT, SLEEP) in email/contactno parameters
SIEM Query:
source="web_logs" AND (email="*SLEEP*" OR contactno="*SLEEP*" OR email="*UNION*" OR contactno="*UNION*")