CVE-2025-2050 Overview
A critical SQL Injection vulnerability has been identified in PHPGurukul User Registration & Login and User Management System version 3.3. The vulnerability exists in the /login.php file where the email parameter is improperly sanitized, allowing attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive user data, authentication bypass, and database manipulation.
Critical Impact
Unauthenticated attackers can exploit this SQL Injection vulnerability remotely to bypass authentication, extract sensitive data, or manipulate the underlying database, compromising the entire user management system.
Affected Products
- PHPGurukul User Registration & Login and User Management System 3.3
- Web applications using the vulnerable /login.php authentication endpoint
- Deployments without input validation on email parameter handling
Discovery Timeline
- 2025-03-07 - CVE-2025-2050 published to NVD
- 2025-05-28 - Last updated in NVD database
Technical Details for CVE-2025-2050
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) affects the login functionality of PHPGurukul User Registration & Login and User Management System. The vulnerability is classified under both CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), indicating a fundamental failure in input handling.
The vulnerable endpoint /login.php accepts user-supplied input through the email parameter without proper sanitization or parameterized queries. When an attacker submits a crafted payload containing SQL metacharacters, the application concatenates this input directly into database queries, allowing arbitrary SQL statement execution.
The network-based attack vector means exploitation requires no physical access to the target system. The vulnerability can be triggered through standard HTTP requests to the login form, making it accessible to any attacker who can reach the web application.
Root Cause
The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The application fails to implement parameterized queries or prepared statements when handling the email parameter in the authentication process. Instead, user-supplied data is directly concatenated into SQL statements, violating secure coding practices for database interactions.
Attack Vector
The attack can be launched remotely over the network against the /login.php endpoint. An attacker can craft malicious input for the email parameter that includes SQL injection payloads. The exploit has been publicly disclosed, increasing the risk of widespread exploitation. Typical attack scenarios include:
Authentication bypass by injecting SQL statements that return true conditions, enabling login without valid credentials. Data exfiltration through UNION-based or blind SQL injection techniques to extract user credentials, personal information, and other sensitive database contents. Database manipulation through injection of UPDATE, DELETE, or INSERT statements to modify application data.
For detailed technical information about this vulnerability, refer to the GitHub Issue #8 and VulDB entry #298801.
Detection Methods for CVE-2025-2050
Indicators of Compromise
- Unusual SQL syntax or special characters (', ", ;, --, /*) in access logs for /login.php
- Multiple failed login attempts followed by successful authentication from the same source IP
- Database error messages exposed in application responses indicating SQL parsing failures
- Abnormal database query patterns or unauthorized data access in database audit logs
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the email parameter
- Monitor authentication logs for anomalous login patterns, especially successful logins after injection attempts
- Deploy intrusion detection systems (IDS) with signatures for common SQL injection payloads
- Enable detailed database query logging to identify malformed or suspicious SQL statements
Monitoring Recommendations
- Configure real-time alerting for SQL error messages in application logs
- Establish baseline authentication patterns and alert on deviations
- Monitor network traffic to /login.php for payloads containing SQL metacharacters
- Review database access logs regularly for unauthorized queries or data access patterns
How to Mitigate CVE-2025-2050
Immediate Actions Required
- Remove or restrict access to the vulnerable /login.php endpoint until patching is complete
- Implement a Web Application Firewall (WAF) to filter SQL injection attempts targeting the email parameter
- Review database access logs for evidence of prior exploitation attempts
- Consider temporarily disabling the affected user management system if alternative authentication methods are available
Patch Information
At the time of this publication, no official patch information has been released by PHPGurukul for this vulnerability. Organizations should monitor the PHPGurukul website for security updates and patch releases. In the absence of an official fix, implementing the workarounds below is strongly recommended.
Workarounds
- Replace vulnerable database queries with parameterized queries or prepared statements to prevent SQL injection
- Implement strict input validation on the email parameter, allowing only valid email format characters
- Deploy a reverse proxy or WAF with SQL injection filtering capabilities in front of the application
- Apply the principle of least privilege to database accounts used by the application, limiting potential impact
# Example secure implementation using prepared statements
# Replace direct query concatenation with parameterized queries:
# VULNERABLE (Do not use):
# $query = "SELECT * FROM users WHERE email = '$email'";
# SECURE (Recommended):
$stmt = $pdo->prepare("SELECT * FROM users WHERE email = :email");
$stmt->execute(['email' => $email]);
$user = $stmt->fetch();
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

