CVE-2022-28116
📋 TL;DR
Online Banking System v1.0 contains a SQL injection vulnerability in the id parameter that allows attackers to execute arbitrary SQL commands. This affects all deployments of this specific banking software version. Attackers could potentially access, modify, or delete sensitive banking data.
💻 Affected Systems
- Online Banking System
📦 What is this software?
Online Banking System by Online Banking System Project
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of banking database including customer PII, financial transactions, and account credentials leading to financial fraud and data breach.
Likely Case
Unauthorized data access and extraction of sensitive banking information, potentially leading to account takeover and financial loss.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via id parameter is straightforward to exploit. Public GitHub repositories contain exploit details.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Consider upgrading to a newer version if available or implementing workarounds.
🔧 Temporary Workarounds
Implement Parameterized Queries
allReplace dynamic SQL queries with parameterized queries or prepared statements
Input Validation and Sanitization
allAdd strict input validation for id parameter to only accept expected values
🧯 If You Can't Patch
- Implement WAF rules to block SQL injection patterns
- Restrict database user permissions to minimum required
🔍 How to Verify
Check if Vulnerable:
Test id parameter with SQL injection payloads like ' OR '1'='1Check Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Test with same payloads after implementing fixes - should return error or no data📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL patterns
Network Indicators:
- HTTP requests with SQL keywords in parameters
- Unusual database query patterns
SIEM Query:
web_requests WHERE url_parameters CONTAINS 'UNION' OR url_parameters CONTAINS 'SELECT' OR url_parameters CONTAINS 'OR 1=1'