CVE-2022-30011
📋 TL;DR
CVE-2022-30011 is a critical SQL injection vulnerability in HMS 1.0's appointment.php endpoint that allows attackers to execute arbitrary SQL commands through POST parameters. This affects all systems running the vulnerable HMS software version. Successful exploitation could lead to complete database compromise.
💻 Affected Systems
- HMS (Hospital Management System)
📦 What is this software?
Hospital Management System by Hospital Management System Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database takeover allowing data theft, modification, deletion, and potential remote code execution through database functions.
Likely Case
Unauthorized access to sensitive patient/medical data, appointment manipulation, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via POST parameters requires minimal technical skill to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
1. Check for updated version from vendor
2. If no patch, implement parameterized queries in appointment.php
3. Add input validation for all POST parameters
4. Test thoroughly before deployment
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Input Validation Filter
linuxAdd PHP input validation to sanitize POST parameters
// Example PHP code to add to appointment.php
$param = filter_input(INPUT_POST, 'parameter', FILTER_SANITIZE_STRING);
🧯 If You Can't Patch
- Restrict access to appointment.php endpoint using IP whitelisting
- Implement database user with minimal privileges for the application
🔍 How to Verify
Check if Vulnerable:
Test appointment.php endpoint with SQL injection payloads in POST parametersCheck Version:
Check HMS version in configuration files or admin panelVerify Fix Applied:
Verify parameterized queries are implemented and test with SQL injection tools📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts via appointment.php
- Suspicious POST parameters containing SQL keywords
Network Indicators:
- HTTP POST requests to appointment.php with SQL syntax in parameters
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND uri="*appointment.php*" AND (request_body="*SELECT*" OR request_body="*UNION*" OR request_body="*OR 1=1*")