CVE-2025-6157: Phpgurukul Nipah Virus SQLI Vulnerability

CVE-2025-6157 Overview

A SQL injection vulnerability has been identified in PHPGurukul Nipah Virus Testing Management System version 1.0. The vulnerability exists in the /registered-user-testing.php file where the testtype parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL commands, potentially compromising the entire database and the sensitive healthcare data it contains.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract, modify, or delete sensitive patient testing data, bypass authentication mechanisms, and potentially gain unauthorized access to the underlying database server.

Affected Products

PHPGurukul Nipah Virus Testing Management System 1.0

Discovery Timeline

2025-06-17 - CVE-2025-6157 published to NVD
2025-06-24 - Last updated in NVD database

Technical Details for CVE-2025-6157

Vulnerability Analysis

This SQL injection vulnerability affects the registered user testing functionality within the PHPGurukul Nipah Virus Testing Management System. The application fails to properly validate and sanitize user-supplied input in the testtype parameter before incorporating it into SQL queries. When a user submits a request to /registered-user-testing.php, the application directly concatenates the testtype parameter value into the SQL statement without using parameterized queries or input escaping.

The vulnerability is exploitable over the network without requiring authentication or user interaction, making it particularly dangerous for internet-facing deployments. Given that this is a healthcare-related testing management system, successful exploitation could lead to exposure of protected health information (PHI), manipulation of test results, or complete database compromise.

Root Cause

The root cause of this vulnerability is insufficient input validation and the use of dynamic SQL query construction. The testtype parameter is directly incorporated into SQL statements without proper sanitization, escaping, or the use of prepared statements with parameterized queries. This classic injection flaw allows attackers to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack can be launched remotely over the network. An attacker submits a crafted HTTP request to the /registered-user-testing.php endpoint with a malicious payload in the testtype parameter. The payload typically includes SQL metacharacters and commands that alter the intended query logic. Common exploitation techniques include:

Union-based injection to extract data from other database tables
Boolean-based blind injection to infer database contents
Time-based blind injection using database delay functions
Error-based injection to extract information through error messages

Since the exploit has been publicly disclosed, attackers can readily weaponize this vulnerability against unpatched systems. Technical details are available in the GitHub Issue #67 Discussion.

Detection Methods for CVE-2025-6157

Indicators of Compromise

Unusual or malformed requests to /registered-user-testing.php containing SQL keywords such as UNION, SELECT, INSERT, UPDATE, DELETE, or DROP
Error messages in application logs indicating SQL syntax errors or database exceptions
Database query logs showing unexpected queries or data access patterns
Anomalous data modifications or deletions in testing-related database tables

Detection Strategies

Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in the testtype parameter
Implement application-layer intrusion detection to monitor for SQL injection signatures in HTTP request parameters
Enable detailed database logging to capture all queries executed against the testing management system database
Configure alerting for multiple failed or malformed requests to the vulnerable endpoint

Monitoring Recommendations

Monitor web server access logs for requests to /registered-user-testing.php with suspicious query strings
Implement real-time alerting for database errors or unexpected query patterns
Review database audit logs regularly for unauthorized data access or schema modifications
Track authentication anomalies that may indicate successful database-level privilege escalation

How to Mitigate CVE-2025-6157

Immediate Actions Required

Restrict network access to the Nipah Virus Testing Management System to trusted IP addresses only
Implement a web application firewall (WAF) with SQL injection protection rules enabled
Disable or remove the vulnerable /registered-user-testing.php functionality if not critical to operations
Review database accounts used by the application and apply the principle of least privilege

Patch Information

No official vendor patch has been announced at the time of publication. Organizations should monitor the PHP Gurukul Security Resources for security updates. In the absence of an official patch, implementing the workarounds below is strongly recommended.

Additional technical information and vulnerability tracking can be found at VulDB #312632.

Workarounds

Implement input validation to sanitize the testtype parameter, allowing only expected alphanumeric values
Modify the application code to use prepared statements with parameterized queries instead of string concatenation
Deploy a reverse proxy or WAF to filter requests containing SQL injection patterns before they reach the application
Restrict database user permissions to limit the impact of successful exploitation

bash

# Example WAF rule to block SQL injection patterns (ModSecurity)
SecRule ARGS:testtype "@rx (?i)(union|select|insert|update|delete|drop|--|;|'|\")" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection Attempt Blocked in testtype parameter'"