CVE-2024-4307
📋 TL;DR
CVE-2024-4307 is a SQL injection vulnerability in HubBank version 1.0.2 that allows attackers to execute arbitrary SQL queries through multiple endpoints. This could lead to unauthorized access to sensitive database information. Organizations running HubBank 1.0.2 are affected.
💻 Affected Systems
- HubBank
📦 What is this software?
Hubbank by Ofofonobsdev
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including theft of all customer financial data, authentication credentials, and potential remote code execution on the database server.
Likely Case
Data exfiltration of sensitive customer information including account details, transaction history, and personal identifiable information.
If Mitigated
Limited impact with proper input validation and database permissions restricting unauthorized access.
🎯 Exploit Status
SQL injection via URL parameters is well-understood and easily weaponized. No authentication required for exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-hubbank
Restart Required: No
Instructions:
No official patch available. Check vendor advisory for updates. Consider implementing parameterized queries and input validation.
🔧 Temporary Workarounds
Web Application Firewall (WAF) Rules
allImplement WAF rules to block SQL injection patterns in URL parameters
WAF-specific configuration required
Input Validation Filter
linuxAdd input validation to sanitize 'id' parameter values before processing
Implement parameterized queries in affected PHP files
🧯 If You Can't Patch
- Isolate HubBank instance behind strict network segmentation
- Implement database-level access controls and audit all database queries
🔍 How to Verify
Check if Vulnerable:
Test endpoints with SQL injection payloads in 'id' parameter (e.g., /accounts/activities.php?id=1' OR '1'='1)Check Version:
Check HubBank version in application configuration or admin panelVerify Fix Applied:
Verify parameterized queries are implemented and SQL injection payloads are rejected📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts from single IP
- Unusual database query patterns
Network Indicators:
- HTTP requests with SQL keywords in URL parameters
- Unusual outbound database connections
SIEM Query:
source="web_logs" AND (url="*id=*'*" OR url="*id=*%27*" OR url="*id=*SELECT*" OR url="*id=*UNION*")