CVE-2025-8931
📋 TL;DR
This SQL injection vulnerability in Medical Store Management System 1.0 allows attackers to manipulate database queries through the password change function. Attackers can potentially access, modify, or delete sensitive medical store data. Organizations using this software are affected.
💻 Affected Systems
- Medical Store Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to theft of sensitive medical records, financial data, and potential ransomware deployment
Likely Case
Unauthorized access to patient records, inventory data, and financial information
If Mitigated
Limited data exposure if proper input validation and database permissions are enforced
🎯 Exploit Status
Exploit requires access to password change functionality; public proof-of-concept available
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing custom fixes.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement parameterized queries and input validation for the ChangePassword.java file
Modify ChangePassword.java to use PreparedStatement instead of concatenated SQL
Web Application Firewall
allDeploy WAF with SQL injection rules to block malicious requests
🧯 If You Can't Patch
- Isolate the system behind a firewall with strict access controls
- Implement database-level protections: minimal privileges, query logging, and regular audits
🔍 How to Verify
Check if Vulnerable:
Check if Medical Store Management System version 1.0 is installed and review ChangePassword.java for SQL concatenationCheck Version:
Check application documentation or configuration files for version informationVerify Fix Applied:
Test password change functionality with SQL injection payloads; verify parameterized queries are used📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed password change attempts
- SQL syntax errors in application logs
Network Indicators:
- POST requests to password change endpoint with SQL keywords
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND (url_path="/changepassword" OR url_path LIKE "%ChangePassword%") AND (request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT" OR request_body CONTAINS "INSERT")