CVE-2025-5210: PHPGurukul Employee Record System SQLi

CVE-2025-5210 Overview

A critical SQL injection vulnerability has been discovered in PHPGurukul Employee Record Management System version 1.3. This vulnerability exists in the /loginerms.php file, where improper sanitization of the Email parameter allows attackers to inject malicious SQL queries. The flaw can be exploited remotely without authentication, potentially enabling unauthorized access to the underlying database and compromise of sensitive employee records.

Critical Impact
Unauthenticated remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive employee data, modify database contents, or potentially escalate to full system compromise through database-level exploitation techniques.

Affected Products

PHPGurukul Employee Record Management System 1.3

Discovery Timeline

2025-05-26 - CVE-2025-5210 published to NVD
2025-06-05 - Last updated in NVD database

Technical Details for CVE-2025-5210

Vulnerability Analysis

This SQL injection vulnerability (classified under CWE-89: SQL Injection and CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) occurs in the login functionality of the Employee Record Management System. The vulnerable endpoint /loginerms.php fails to properly sanitize user-supplied input in the Email parameter before incorporating it into SQL queries executed against the backend database.

The attack can be initiated remotely over the network with low complexity, requiring no authentication or user interaction. Successful exploitation allows attackers to manipulate SQL queries, potentially leading to unauthorized data access, data modification, or authentication bypass. The exploit has been publicly disclosed, increasing the risk of widespread exploitation against vulnerable installations.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and parameterized queries in the login form processing logic. The Email parameter is directly concatenated into SQL statements without sanitization, escaping, or the use of prepared statements. This classic injection pattern allows attackers to break out of the intended query structure and execute arbitrary SQL commands.

Attack Vector

The vulnerability is exploitable via a network-based attack targeting the login page at /loginerms.php. An attacker submits a specially crafted Email parameter containing SQL injection payloads. Because the application does not sanitize this input, the malicious SQL is executed directly against the database server.

Typical attack scenarios include:

Authentication Bypass: Injecting payloads such as ' OR '1'='1' -- to bypass login controls
Data Exfiltration: Using UNION-based or time-based blind SQL injection to extract database contents
Privilege Escalation: Modifying user roles or creating administrative accounts through INSERT/UPDATE statements

The vulnerability affects the login mechanism, making it particularly dangerous as it provides a direct path to bypass authentication controls and access the employee management system.

Detection Methods for CVE-2025-5210

Indicators of Compromise

Unusual SQL error messages appearing in application logs or returned to users
Login attempts containing special characters such as single quotes, double dashes, or SQL keywords (UNION, SELECT, OR, AND)
Database query logs showing malformed or concatenated SQL statements
Unexpected database access patterns or bulk data extraction activities

Detection Strategies

Deploy Web Application Firewalls (WAF) with SQL injection signature detection targeting common injection patterns
Implement application-level logging to capture and alert on suspicious input patterns in authentication endpoints
Monitor database query logs for anomalous query structures or injection attempts
Use intrusion detection systems (IDS) with rules specifically targeting SQL injection payloads

Monitoring Recommendations

Enable detailed logging on the /loginerms.php endpoint to capture all authentication attempts
Configure database activity monitoring to detect unusual query patterns or unauthorized data access
Set up alerts for multiple failed login attempts with special character sequences
Review web server access logs for requests containing URL-encoded SQL injection characters

How to Mitigate CVE-2025-5210

Immediate Actions Required

Restrict access to the Employee Record Management System to trusted internal networks only
Implement a Web Application Firewall (WAF) with SQL injection protection in front of the application
Review database logs for signs of prior exploitation and assess potential data exposure
Consider taking the application offline until a proper fix can be applied

Patch Information

At the time of publication, no official vendor patch has been released for this vulnerability. Organizations using PHPGurukul Employee Record Management System 1.3 should monitor the PHP Gurukul website for security updates. Additional technical details are available through the GitHub Issue Discussion and the VulDB entry.

Workarounds

Implement prepared statements or parameterized queries in the /loginerms.php file to prevent SQL injection
Add input validation to reject Email inputs containing SQL metacharacters or unexpected patterns
Deploy network-level access controls to limit exposure of the vulnerable endpoint
Use database user accounts with minimal required privileges to limit impact of successful exploitation

bash

# Example: Restrict access to the vulnerable endpoint via Apache .htaccess
# Add to .htaccess in the application root directory
<Files "loginerms.php">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    Allow from 10.0.0.0/8
</Files>