CVE-2025-5674
📋 TL;DR
CVE-2025-5674 is a critical SQL injection vulnerability in the Patient Record Management System 1.0 that allows remote attackers to execute arbitrary SQL commands via the urinalysis_id parameter in urinalysis_form.php. This affects all users running the vulnerable software version. Successful exploitation could lead to unauthorized data access, modification, or deletion.
💻 Affected Systems
- Patient Record Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including patient record theft, system takeover, or data destruction
Likely Case
Unauthorized access to patient records and sensitive healthcare data
If Mitigated
Limited impact with proper input validation and database permissions
🎯 Exploit Status
Exploit details are publicly available in GitHub repository; SQL injection is well-understood attack vector
🛠️ 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 workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd parameter validation and sanitization to urinalysis_form.php
Edit urinalysis_form.php to validate urinalysis_id parameter using prepared statements or proper escaping
Web Application Firewall (WAF)
allDeploy WAF to block SQL injection attempts
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement strict database permissions and monitor for unusual SQL queries
🔍 How to Verify
Check if Vulnerable:
Check if urinalysis_form.php exists and contains unsanitized urinalysis_id parameter usageCheck Version:
Check software version in system configuration or about pageVerify Fix Applied:
Test urinalysis_form.php with SQL injection payloads to ensure they're blocked📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts or parameter manipulation in web logs
Network Indicators:
- SQL injection patterns in HTTP requests to urinalysis_form.php
SIEM Query:
web.url:*urinalysis_form.php* AND (web.param:*urinalysis_id* AND (web.param:*' OR* OR web.param:*--* OR web.param:*;*))