CVE-2025-2663: Bank Locker Management System SQLi Flaw

CVE-2025-2663 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Bank Locker Management System version 1.0. The vulnerability exists in the /search-locker-details.php file, where improper handling of the searchinput parameter allows attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive banking and locker information stored in the application's database.

Critical Impact

Unauthenticated attackers can exploit this SQL injection vulnerability to extract, modify, or delete sensitive data from the Bank Locker Management System database, potentially compromising customer locker information and banking records.

Affected Products

• PHPGurukul Bank Locker Management System 1.0
• Web applications using the vulnerable /search-locker-details.php endpoint
• Systems exposing the search functionality without input validation

Discovery Timeline

• 2025-03-23 - CVE-2025-2663 published to NVD
• 2025-05-13 - Last updated in NVD database

Technical Details for CVE-2025-2663

Vulnerability Analysis

This SQL injection vulnerability stems from insufficient input validation in the locker search functionality. The searchinput parameter in /search-locker-details.php is directly incorporated into SQL queries without proper sanitization or parameterization. This allows attackers to manipulate database queries by injecting malicious SQL syntax through the search field.

The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The attack can be launched remotely over the network with no authentication requirements and low complexity, making it accessible to attackers with minimal technical expertise.

The exploit has been publicly disclosed, increasing the risk of widespread exploitation. Financial management systems like this are particularly sensitive targets due to the confidential nature of banking and locker customer data they contain.

Root Cause

The root cause of this vulnerability is the direct use of user-supplied input from the searchinput parameter in SQL queries without implementing proper input validation, sanitization, or prepared statements. The application fails to treat user input as potentially malicious data, allowing special SQL characters and commands to be interpreted as part of the database query structure rather than as literal search terms.

Attack Vector

The attack is executed remotely over the network by manipulating the searchinput parameter sent to /search-locker-details.php. An attacker can craft malicious HTTP requests containing SQL injection payloads in the search field. When the vulnerable application processes these requests, the injected SQL commands are executed against the backend database.

The vulnerability allows attackers to perform various SQL injection techniques including UNION-based injection to extract data from other tables, boolean-based blind injection to enumerate database contents, and potentially stacked queries to modify or delete data depending on the database configuration.

For technical details and proof-of-concept information, refer to the GitHub CVE Issue Discussion and VulDB #300685.

Detection Methods for CVE-2025-2663

Indicators of Compromise

• Unusual SQL error messages in application logs from the /search-locker-details.php endpoint
• Web access logs showing requests to /search-locker-details.php with SQL metacharacters (single quotes, UNION, SELECT, etc.) in the searchinput parameter
• Database query logs revealing unexpected or malicious SQL statements originating from search operations
• Anomalous database access patterns or data exfiltration activity

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests targeting the search endpoint
• Implement database activity monitoring to alert on suspicious queries containing SQL injection signatures
• Monitor application logs for SQL syntax errors or database exceptions triggered by malformed input
• Use intrusion detection systems (IDS) with SQL injection detection signatures

Monitoring Recommendations

• Enable detailed logging for the /search-locker-details.php endpoint and review logs regularly for injection attempts
• Configure database audit logging to track all queries executed against the locker management database
• Set up alerts for failed authentication attempts and data access anomalies following potential exploitation
• Monitor network traffic for unusual data volumes being transmitted from the database server

How to Mitigate CVE-2025-2663

Immediate Actions Required

• Restrict network access to the Bank Locker Management System to trusted IP addresses only
• Implement Web Application Firewall rules to filter SQL injection payloads targeting the searchinput parameter
• Consider temporarily disabling the /search-locker-details.php functionality until a patch is available
• Audit database access logs for signs of prior exploitation

Patch Information

At the time of this advisory, no official patch has been released by PHPGurukul for this vulnerability. Organizations should monitor the PHP Gurukul Security Resources for updates and security patches. The vulnerability details are tracked in VulDB Submission #520436.

Workarounds

• Implement input validation to whitelist acceptable characters in the searchinput parameter
• Use prepared statements with parameterized queries for all database operations in the affected file
• Deploy a WAF with SQL injection protection rules in front of the application
• Restrict database user privileges to minimize the impact of successful SQL injection attacks

# Example WAF configuration to block SQL injection patterns
# Add to ModSecurity or similar WAF configuration
SecRule ARGS:searchinput "@detectSQLi" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection attempt blocked'"

# Restrict database user privileges (MySQL example)
# REVOKE ALL ON locker_db.* FROM 'app_user'@'localhost';
# GRANT SELECT ON locker_db.lockers TO 'app_user'@'localhost';