CVE-2023-27074
📋 TL;DR
This vulnerability allows attackers to execute arbitrary SQL commands via the emailid parameter in the login page of BP Monitoring Management System v1.0. This can lead to authentication bypass, data theft, or complete system compromise. Organizations using this specific software version are affected.
💻 Affected Systems
- BP Monitoring Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Full database compromise leading to complete system takeover, data exfiltration, and potential lateral movement to other systems.
Likely Case
Authentication bypass allowing unauthorized access to patient health data and system functionality.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via login page requires no authentication and has public proof-of-concept
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/bp-monitoring-management-system-using-php-and-mysql/
Restart Required: No
Instructions:
1. Download updated version from vendor if available
2. Replace vulnerable files with patched versions
3. Test login functionality
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation to sanitize emailid parameter before processing
// PHP example: filter_var($emailid, FILTER_SANITIZE_EMAIL);
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
🧯 If You Can't Patch
- Implement parameterized queries or prepared statements in the login.php file
- Deploy network segmentation to isolate the vulnerable system from sensitive data
🔍 How to Verify
Check if Vulnerable:
Test login page with SQL injection payloads like ' OR '1'='1 in emailid fieldCheck Version:
Check software version in admin panel or readme filesVerify Fix Applied:
Attempt SQL injection after fixes; successful login should only occur with valid credentials📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed login attempts with SQL characters
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords
SIEM Query:
source="web_logs" AND uri="/login.php" AND (request_body CONTAINS "OR" OR request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT")