CVE-2025-2372: Phpgurukul HMPV System SQLi Vulnerability

CVE-2025-2372 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Human Metapneumovirus Testing Management System version 1.0. The vulnerability exists within the Password Recovery Page component, specifically in the /password-recovery.php file. Attackers can exploit this flaw by manipulating the username argument to inject malicious SQL queries, potentially compromising the entire database and gaining unauthorized access to sensitive medical testing data.

Critical Impact

This SQL injection vulnerability allows remote attackers to bypass authentication mechanisms, extract sensitive patient and testing data, modify database records, and potentially achieve full system compromise through the password recovery functionality.

Affected Products

• PHPGurukul Human Metapneumovirus Testing Management System 1.0
• Password Recovery Page component (/password-recovery.php)
• Systems utilizing the vulnerable username parameter handling

Discovery Timeline

• 2025-03-17 - CVE-2025-2372 published to NVD
• 2025-05-08 - Last updated in NVD database

Technical Details for CVE-2025-2372

Vulnerability Analysis

This vulnerability is a classic SQL injection flaw (CWE-89) that occurs due to improper neutralization of special elements used in SQL commands. The Password Recovery Page at /password-recovery.php fails to properly sanitize user-supplied input in the username parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL syntax that gets executed by the database engine with the privileges of the application's database user.

The vulnerability is remotely exploitable without authentication, as the password recovery functionality is by design accessible to unauthenticated users. This significantly increases the attack surface and potential for exploitation by remote threat actors.

Root Cause

The root cause stems from direct concatenation of user input into SQL queries without proper parameterization or input validation. The username parameter submitted to /password-recovery.php is not sanitized or escaped before being used in database queries, allowing attackers to break out of the intended query structure and execute additional SQL commands.

This represents a fundamental injection flaw (CWE-74) where the application fails to maintain proper separation between code and data, allowing user-controlled data to be interpreted as executable SQL code.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker crafts a malicious HTTP request to the /password-recovery.php endpoint with a specially crafted username parameter containing SQL injection payloads.

The vulnerability allows for various SQL injection techniques including:

• Union-based injection to extract data from other database tables
• Boolean-based blind injection to infer database contents through true/false responses
• Time-based blind injection using database sleep functions
• Error-based injection to extract data through error messages

Successful exploitation may result in unauthorized access to patient records, test results, user credentials, and administrative functions within the Human Metapneumovirus Testing Management System.

Detection Methods for CVE-2025-2372

Indicators of Compromise

• HTTP requests to /password-recovery.php containing SQL injection patterns such as single quotes, UNION SELECT, OR 1=1, or SQL comment syntax (--, #)
• Unusual database query errors appearing in application or web server logs
• Abnormal database activity including bulk data extraction or unauthorized record modifications
• Failed login attempts followed by successful authentication without proper credentials

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to /password-recovery.php
• Implement intrusion detection system (IDS) signatures for common SQL injection payloads targeting the username parameter
• Monitor database query logs for anomalous queries originating from the password recovery functionality
• Enable application-level logging for all authentication and password recovery attempts

Monitoring Recommendations

• Configure real-time alerting for SQL injection attack patterns in web server access logs
• Monitor database connection logs for unusual query patterns or excessive data retrieval
• Implement rate limiting on the password recovery endpoint to detect automated exploitation attempts
• Review authentication logs for signs of credential compromise following exploitation

How to Mitigate CVE-2025-2372

Immediate Actions Required

• Restrict access to the /password-recovery.php endpoint until a patch is applied or implement additional input validation
• Deploy WAF rules to block SQL injection attempts targeting the vulnerable parameter
• Review database logs for signs of prior exploitation and assess potential data compromise
• Consider temporarily disabling the password recovery feature if business continuity allows

Patch Information

As of the last CVE update on 2025-05-08, no official vendor patch has been publicly documented for this vulnerability. Organizations should monitor the PHP Gurukul Security Resources for security updates and patches. Additionally, review the GitHub CVE Issue Discussion for community discussions and potential interim solutions.

For detailed vulnerability information, refer to VulDB #299871 which provides additional technical context and tracking.

Workarounds

• Implement prepared statements with parameterized queries in the /password-recovery.php file to properly separate SQL code from user input
• Apply strict input validation on the username parameter, allowing only expected characters (alphanumeric, limited special characters)
• Deploy a reverse proxy or WAF with SQL injection protection rules as a compensating control
• Implement network segmentation to limit database server exposure and restrict access from compromised web servers

# Example WAF rule configuration for ModSecurity
SecRule ARGS:username "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in password recovery',\
    tag:'CVE-2025-2372'"