CVE-2025-4030: COVID19 Testing Management System SQLi

CVE-2025-4030 Overview

A SQL Injection vulnerability has been identified in PHPGurukul COVID19 Testing Management System version 1.0. The vulnerability exists in the /search-report-result.php file where improper handling of the serachdata parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, data modification, or database compromise.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to bypass authentication, extract sensitive medical testing data, modify patient records, or potentially gain further access to the underlying database server.

Affected Products

• PHPGurukul COVID19 Testing Management System 1.0

Discovery Timeline

• 2025-04-28 - CVE-2025-4030 published to NVD
• 2025-05-10 - Last updated in NVD database

Technical Details for CVE-2025-4030

Vulnerability Analysis

This SQL Injection vulnerability affects the search functionality within the PHPGurukul COVID19 Testing Management System. The application fails to properly sanitize user-supplied input in the serachdata parameter before incorporating it into SQL queries executed against the backend database. The vulnerability is remotely exploitable without any authentication requirements, allowing unauthenticated attackers to manipulate database operations.

The affected endpoint /search-report-result.php processes search requests where user input is directly concatenated into SQL statements. This classic injection pattern allows attackers to break out of the intended query structure and execute arbitrary SQL commands. Given the healthcare context of this application, successful exploitation could expose sensitive patient information, COVID-19 test results, and personally identifiable information (PII).

Root Cause

The root cause of this vulnerability stems from insufficient input validation and the absence of parameterized queries (prepared statements) in the application code. The serachdata parameter value is directly embedded into SQL queries without proper escaping or sanitization, violating secure coding practices outlined in CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Attack Vector

The attack can be initiated remotely over the network without requiring any prior authentication or user interaction. An attacker can craft malicious HTTP requests to the /search-report-result.php endpoint, injecting SQL syntax through the serachdata parameter. Depending on the database configuration and permissions, attackers may be able to:

• Extract sensitive data from the database including patient records and test results
• Modify or delete existing records
• Bypass authentication mechanisms
• Potentially escalate to command execution if database features like xp_cmdshell (MSSQL) or LOAD_FILE/INTO OUTFILE (MySQL) are enabled

The vulnerability is exploited by submitting specially crafted input that terminates the original query and appends malicious SQL statements. For example, an attacker might submit input containing SQL syntax such as single quotes, UNION statements, or boolean-based payloads to extract data or manipulate the application's behavior.

Additional technical details regarding exploitation methodology can be found in the GitHub CVE Issue Discussion and the VulDB CVE Analysis #306393.

Detection Methods for CVE-2025-4030

Indicators of Compromise

• HTTP requests to /search-report-result.php containing SQL metacharacters (single quotes, double dashes, semicolons, UNION keywords) in the serachdata parameter
• Unusual database query patterns or errors logged by the database server
• Unexpected data access patterns or bulk data extraction from patient-related tables
• Web server access logs showing encoded SQL injection payloads targeting the search functionality

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters
• Enable database query logging and monitor for anomalous queries originating from the web application
• Implement application-level logging to capture and alert on malformed search requests
• Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

• Continuously monitor web server access logs for requests to /search-report-result.php with suspicious parameter values
• Set up alerts for database errors that may indicate injection attempts (syntax errors, permission denials)
• Track authentication bypass attempts and unauthorized data access through database audit logs
• Review application logs for unusual search query volumes or patterns that deviate from normal user behavior

How to Mitigate CVE-2025-4030

Immediate Actions Required

• Restrict network access to the PHPGurukul COVID19 Testing Management System to trusted networks only
• Implement Web Application Firewall (WAF) rules to filter SQL injection attempts on the /search-report-result.php endpoint
• Disable or remove the vulnerable search functionality until a patch can be applied
• Review database permissions to ensure the web application uses a least-privilege database account

Patch Information

As of the last modification date (2025-05-10), no official vendor patch has been publicly announced for this vulnerability. Organizations using PHPGurukul COVID19 Testing Management System 1.0 should monitor the PHP Gurukul Security Blog for security updates. Given the lack of vendor remediation, implementing compensating controls and considering alternative solutions is strongly recommended.

Workarounds

• Implement input validation to reject any search input containing SQL metacharacters or keywords
• Modify the affected code to use parameterized queries (prepared statements) instead of string concatenation
• Deploy a reverse proxy or WAF with SQL injection protection enabled in front of the application
• Consider taking the application offline if it contains sensitive data and cannot be adequately protected

# Example WAF rule (ModSecurity) to block SQL injection in serachdata parameter
SecRule ARGS:serachdata "@detectSQLi" \
    "id:100001,\
    phase:2,\
    block,\
    msg:'SQL Injection attempt detected in serachdata parameter',\
    log,\
    severity:'CRITICAL'"