CVE-2025-60736
📋 TL;DR
Online Medicine Guide 1.0 contains a SQL injection vulnerability in the login.php page's upass parameter. This allows attackers to execute arbitrary SQL commands on the database. All users running this specific version are affected.
💻 Affected Systems
- code-projects Online Medicine Guide
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, remote code execution, or database destruction.
Likely Case
Authentication bypass allowing unauthorized access to the application, followed by data exfiltration or manipulation.
If Mitigated
Limited impact if proper input validation and parameterized queries are implemented.
🎯 Exploit Status
Public proof-of-concept exists on GitHub. Exploitation requires no authentication and uses simple SQL injection techniques.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Consider implementing parameterized queries or input validation as workaround.
🔧 Temporary Workarounds
Implement Input Validation
allAdd server-side validation to reject SQL injection patterns in the upass parameter.
Use Parameterized Queries
allModify login.php to use prepared statements instead of concatenating user input into SQL queries.
🧯 If You Can't Patch
- Implement a web application firewall (WAF) with SQL injection rules
- Restrict access to login.php to trusted IP addresses only
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads in the upass parameter (e.g., ' OR '1'='1).
Check Version:
Check application version in admin panel or configuration files.
Verify Fix Applied:
Attempt SQL injection after implementing fixes; successful login should only occur with valid credentials.
📡 Detection & Monitoring
Log Indicators:
- Multiple failed login attempts with SQL patterns in parameters
- Unusual database query errors in application logs
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords in parameters
SIEM Query:
source="web_logs" AND uri="/login.php" AND (request_body CONTAINS "OR" OR request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT")