CVE-2025-8443
📋 TL;DR
CVE-2025-8443 is a critical SQL injection vulnerability in the Online Medicine Guide 1.0 software that allows attackers to execute arbitrary SQL commands through the uname parameter in /login.php. This can lead to unauthorized data access, authentication bypass, or complete system compromise. All users running Online Medicine Guide 1.0 are affected.
💻 Affected Systems
- Online Medicine Guide
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including exfiltration of sensitive medical data, authentication bypass allowing admin access, and potential remote code execution leading to full system takeover.
Likely Case
Unauthorized access to patient/medical records, credential theft, and potential data manipulation or deletion.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing successful exploitation.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily exploitable by attackers with basic SQL injection knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing custom fixes with parameterized queries and input validation.
🔧 Temporary Workarounds
Web Application Firewall (WAF) Rules
allImplement WAF rules to block SQL injection patterns in login.php requests
# Example ModSecurity rule: SecRule ARGS:uname "@detectSQLi" "id:1001,phase:2,deny,status:403"
Input Validation Filter
allAdd input validation to sanitize uname parameter before processing
# PHP example: $uname = mysqli_real_escape_string($connection, $_POST['uname']);
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input validation
- Implement network segmentation to limit database access from the web server
🔍 How to Verify
Check if Vulnerable:
Test the login.php endpoint with SQL injection payloads like: uname=' OR '1'='1Check Version:
Check the software version in the application interface or configuration filesVerify Fix Applied:
Verify that SQL injection payloads no longer work and that parameterized queries are implemented📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web server logs
- Multiple failed login attempts with SQL-like patterns
- Database connection errors
Network Indicators:
- HTTP POST requests to /login.php with SQL keywords in parameters
- Unusual database query patterns from web server IP
SIEM Query:
source="web_server" AND uri="/login.php" AND (payload="OR" OR payload="UNION" OR payload="SELECT" OR payload="--")