Skip to main content
CVE Vulnerability Database

CVE-2025-5694: hMPV Testing Management System SQL Vuln

CVE-2025-5694 is a critical SQL injection vulnerability in PHPGurukul Human Metapneumovirus Testing Management System 1.0 affecting the search-report-result.php file. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-5694 Overview

CVE-2025-5694 is a SQL injection vulnerability in PHPGurukul Human Metapneumovirus (HMPV) Testing Management System version 1.0. The flaw resides in the /search-report-result.php endpoint, where the serachdata parameter is passed to a database query without proper sanitization. Authenticated attackers can manipulate the parameter to inject arbitrary SQL statements remotely. The exploit details have been publicly disclosed, increasing the risk of opportunistic abuse against exposed deployments. The vulnerability maps to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.

Critical Impact

Remote attackers with low-level privileges can extract, modify, or destroy data in the application's backend database through SQL injection in the report search functionality.

Affected Products

  • PHPGurukul Human Metapneumovirus (HMPV) Testing Management System 1.0
  • Vendor: anujk305
  • Component: /search-report-result.php

Discovery Timeline

  • 2025-06-05 - CVE-2025-5694 published to NVD
  • 2025-06-10 - Last updated in NVD database

Technical Details for CVE-2025-5694

Vulnerability Analysis

The vulnerability exists in the report search workflow of the HMPV Testing Management System. The serachdata request parameter, submitted to /search-report-result.php, is concatenated directly into a SQL query string. The application does not apply parameterized queries, prepared statements, or input escaping before sending the data to the database engine.

An attacker authenticated with low privileges can submit crafted input through the search form or by issuing a direct HTTP request. The injected SQL payload executes within the context of the application's database user, enabling data exfiltration via UNION-based queries, blind boolean techniques, or time-based extraction. Successful exploitation can compromise patient testing records and other backend data managed by the platform.

Root Cause

The root cause is the absence of input neutralization on the serachdata parameter before its inclusion in a SQL statement. PHP code in /search-report-result.php builds queries through string concatenation rather than using prepared statements with bound parameters, satisfying the conditions for [CWE-74].

Attack Vector

The attack is delivered over the network through standard HTTP requests to the vulnerable PHP endpoint. The attacker requires a valid low-privilege session to reach the search functionality. Exploitation does not require user interaction and can be automated using common SQL injection tooling such as sqlmap. Public disclosure on VulDB and GitHub increases the likelihood of mass scanning against internet-exposed instances.

No verified exploit code is reproduced here. Technical details of the injection point are documented in the GitHub issue discussion and the VulDB entry #311210.

Detection Methods for CVE-2025-5694

Indicators of Compromise

  • HTTP requests to /search-report-result.php containing SQL meta-characters such as single quotes, UNION, SELECT, SLEEP(, or comment sequences (--, #) in the serachdata parameter.
  • Unusual database error responses or HTTP 500 status codes returned from the search endpoint.
  • Outbound database queries from the web application user that reference information_schema, mysql.user, or other system tables.
  • Repeated requests from a single source iterating through payload variations consistent with automated tools like sqlmap.

Detection Strategies

  • Deploy web application firewall (WAF) signatures that flag SQL injection patterns targeting the serachdata parameter.
  • Enable database query logging and alert on unexpected UNION SELECT statements or queries referencing schema metadata.
  • Correlate web access logs with database logs to identify suspicious query chains originating from the search endpoint.

Monitoring Recommendations

  • Monitor authentication logs for newly created low-privilege accounts that could be used to reach the vulnerable endpoint.
  • Track response time anomalies on /search-report-result.php that may indicate time-based blind SQL injection.
  • Review database audit logs for bulk row reads from tables containing patient or test data.

How to Mitigate CVE-2025-5694

Immediate Actions Required

  • Restrict access to the HMPV Testing Management System to trusted networks until a vendor patch is available.
  • Place the application behind a WAF configured with SQL injection rule sets and tune signatures around /search-report-result.php.
  • Rotate database credentials and audit existing accounts for unauthorized access to patient data.
  • Review and minimize the privileges of the database user account used by the application.

Patch Information

No vendor patch has been published at the time of this writing. PHPGurukul has not released an official security advisory for CVE-2025-5694. Operators should monitor the PHPGurukul site and the VulDB CTI entry #311210 for remediation updates.

Workarounds

  • Modify /search-report-result.php to use prepared statements with bound parameters via PDO or mysqli rather than string concatenation.
  • Apply server-side input validation that restricts serachdata to an allowlist of expected characters before query execution.
  • Disable the search functionality if it is not required for operational use until a code fix is deployed.
  • Enforce least-privilege database permissions so the application user cannot read system tables or perform schema modifications.
bash
# Example: enforce least-privilege MySQL grants for the application user
REVOKE ALL PRIVILEGES ON *.* FROM 'hmpv_app'@'localhost';
GRANT SELECT, INSERT, UPDATE, DELETE ON hmpv_db.* TO 'hmpv_app'@'localhost';
FLUSH PRIVILEGES;

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.