CVE-2022-25490
📋 TL;DR
CVE-2022-25490 is a SQL injection vulnerability in HMS v1.0 that allows attackers to execute arbitrary SQL commands via the editid parameter in department.php. This affects all users running the vulnerable version of HMS, potentially compromising database integrity and confidentiality.
💻 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 compromise including data theft, data manipulation, privilege escalation, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized data access, data modification, and potential authentication bypass leading to administrative control.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
SQL injection via GET/POST parameters is well-understood and easily automated.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: No official vendor advisory found
Restart Required: No
Instructions:
1. Review the GitHub discussion for community patches
2. Manually implement parameterized queries in department.php
3. Validate and sanitize all user inputs
🔧 Temporary Workarounds
Input Validation Filter
allAdd input validation to only accept numeric values for editid parameter
// In department.php, add: if(!is_numeric($_GET['editid'])) { die('Invalid input'); }
WAF Rule
allImplement web application firewall rules to block SQL injection patterns
# ModSecurity rule: SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny"
🧯 If You Can't Patch
- Isolate the HMS system from internet access and restrict to trusted internal networks only
- Implement strict database user permissions with least privilege principle
🔍 How to Verify
Check if Vulnerable:
Test department.php with SQL injection payloads like: department.php?editid=1' OR '1'='1Check Version:
Check HMS version in application interface or configuration filesVerify Fix Applied:
Test with same payloads and verify they're rejected or properly handled📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed parameter validation attempts
- Suspicious editid parameter values containing SQL keywords
Network Indicators:
- HTTP requests to department.php with SQL injection patterns in parameters
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND uri="*department.php*" AND (param="*editid=*'*" OR param="*editid=*%27*")