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CVE Vulnerability Database
Vulnerability Database/CVE-2025-1954

CVE-2025-1954: Phpgurukul HMPV System SQLi Vulnerability

CVE-2025-1954 is a critical SQL injection flaw in Phpgurukul Human Metapneumovirus Testing Management System 1.0 affecting the login.php file. This article covers the technical details, attack vectors, and mitigation strategies.

Published: March 18, 2026

CVE-2025-1954 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Human Metapneumovirus Testing Management System version 1.0. The vulnerability exists in the /login.php file where improper handling of the username parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to bypass authentication, extract sensitive data, or potentially compromise the entire database without requiring any prior authentication.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication mechanisms, access sensitive patient testing data, and potentially gain full control over the backend database through the vulnerable login functionality.

Affected Products

  • PHPGurukul Human Metapneumovirus Testing Management System version 1.0
  • All installations using the vulnerable /login.php endpoint

Discovery Timeline

  • 2025-03-04 - CVE-2025-1954 published to NVD
  • 2025-05-08 - Last updated in NVD database

Technical Details for CVE-2025-1954

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) occurs in the authentication mechanism of the Human Metapneumovirus Testing Management System. The /login.php endpoint fails to properly sanitize user-supplied input in the username parameter before incorporating it into SQL queries executed against the backend database.

The vulnerability is network-accessible, requires no authentication or user interaction, and has low attack complexity, making it straightforward for attackers to exploit. Healthcare management systems like this typically store sensitive patient information, test results, and administrative credentials, amplifying the potential impact of successful exploitation.

Root Cause

The root cause of this vulnerability is insufficient input validation and the absence of parameterized queries in the login functionality. The application directly concatenates user-supplied input from the username field into SQL statements, allowing attackers to manipulate query logic through specially crafted input strings.

Attack Vector

The vulnerability can be exploited remotely over the network by sending malicious HTTP POST requests to the /login.php endpoint. Attackers manipulate the username parameter with SQL injection payloads to alter query execution. Common attack techniques include authentication bypass using payloads like ' OR '1'='1 or UNION-based injection to extract data from other database tables. The exploit has been publicly disclosed and detailed in security research on GitHub.

Detection Methods for CVE-2025-1954

Indicators of Compromise

  • Unusual login attempts containing SQL syntax characters such as single quotes, semicolons, or SQL keywords (UNION, SELECT, OR, AND) in the username field
  • Database error messages appearing in HTTP responses that reveal query structure or table names
  • Multiple failed authentication attempts from the same source IP with varying SQL injection patterns
  • Evidence of data exfiltration or unauthorized database queries in database server logs

Detection Strategies

  • Implement web application firewall (WAF) rules to detect and block SQL injection patterns in POST parameters to /login.php
  • Monitor application logs for authentication attempts with anomalous username values containing SQL metacharacters
  • Deploy database activity monitoring to detect unauthorized queries or data access patterns
  • Use intrusion detection systems with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable verbose logging on the web server to capture full request bodies for authentication endpoints
  • Configure database audit logging to track all queries executed against user and credential tables
  • Set up alerts for authentication failures that contain known SQL injection payload patterns
  • Monitor for any outbound data transfers from the database server that could indicate data exfiltration

How to Mitigate CVE-2025-1954

Immediate Actions Required

  • Restrict network access to the affected application until patches can be applied
  • Implement web application firewall rules to filter SQL injection attempts targeting the login endpoint
  • Review database logs for evidence of exploitation and potential data compromise
  • Consider taking the application offline if it processes sensitive patient data and cannot be immediately secured

Patch Information

As of the last NVD update on 2025-05-08, no official vendor patch has been confirmed for this vulnerability. Organizations using PHPGurukul Human Metapneumovirus Testing Management System should monitor the PHPGurukul website for security updates. Additional vulnerability details are available in VulDB #298555.

Workarounds

  • Deploy a web application firewall with SQL injection protection rules in front of the application
  • Implement input validation at the network perimeter to sanitize username parameters before they reach the application
  • If source code access is available, modify the login functionality to use parameterized queries or prepared statements
  • Consider replacing the affected system with an alternative solution that follows secure coding practices
bash
# Example WAF rule to block SQL injection in login requests (ModSecurity format)
SecRule ARGS:username "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in username parameter',\
    log,\
    auditlog"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Human Metapneumovirus Testing Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.12%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • GitHub SQL Injection Vulnerability

  • PHP Gurukul Security Resource

  • VulDB CTI #298555

  • VulDB #298555

  • VulDB Submission ID #510360
  • Related CVEs
  • CVE-2025-4303: PHPGurukul HMTMS SQLi Vulnerability
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