CVE-2025-5211
📋 TL;DR
A critical SQL injection vulnerability exists in PHPGurukul Employee Record Management System 1.3, specifically in the /myprofile.php file via the EmpCode parameter. This allows remote attackers to execute arbitrary SQL commands on the database. Organizations using this software version are affected.
💻 Affected Systems
- PHPGurukul Employee Record Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, privilege escalation, and potential remote code execution via database functions.
Likely Case
Unauthorized access to sensitive employee records, data exfiltration, and potential authentication bypass.
If Mitigated
Limited impact with proper input validation and database permissions, potentially only read access to non-sensitive data.
🎯 Exploit Status
Exploit details are publicly available on GitHub. Attack requires access to the myprofile.php endpoint, which typically requires authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
1. Check vendor website for updates. 2. If patch available, download and apply. 3. Test functionality after patching.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement proper input validation and parameterized queries for the EmpCode parameter in myprofile.php
Web Application Firewall
allDeploy WAF with SQL injection rules to block malicious requests
🧯 If You Can't Patch
- Restrict access to the application using network segmentation and firewall rules
- Implement database user with minimal privileges and enable logging of all database queries
🔍 How to Verify
Check if Vulnerable:
Test the EmpCode parameter in /myprofile.php with SQL injection payloads like ' OR '1'='1Check Version:
Check application version in admin panel or configuration filesVerify Fix Applied:
Test the same parameter after applying fixes to ensure SQL injection is no longer possible📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts followed by SQL payloads in web logs
Network Indicators:
- HTTP requests to /myprofile.php containing SQL keywords in parameters
SIEM Query:
source="web_logs" AND uri="/myprofile.php" AND (param="EmpCode" AND value MATCHES "(?i)(union|select|insert|update|delete|drop|exec|--|#)")