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CVE Vulnerability Database
Vulnerability Database/CVE-2025-1857

CVE-2025-1857: PHPGurukul Nipah Virus System SQLi Flaw

CVE-2025-1857 is a critical SQL injection vulnerability in PHPGurukul Nipah Virus Testing Management System 1.0 affecting check_availability.php. This article covers technical details, affected versions, and mitigation.

Published: March 18, 2026

CVE-2025-1857 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Nipah Virus Testing Management System version 1.0. The vulnerability exists in the /check_availability.php file, where the employeeid parameter is improperly handled, allowing attackers to inject malicious SQL commands. This flaw can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information, data manipulation, or complete system compromise.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive healthcare-related data in the Nipah Virus Testing Management System database.

Affected Products

  • PHPGurukul Nipah Virus Testing Management System 1.0
  • Systems running check_availability.php with unpatched employee ID validation
  • Healthcare facilities using PHPGurukul's testing management platform

Discovery Timeline

  • 2025-03-03 - CVE-2025-1857 published to NVD
  • 2025-06-24 - Last updated in NVD database

Technical Details for CVE-2025-1857

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the employee availability check functionality in PHPGurukul's Nipah Virus Testing Management System. The application fails to properly sanitize user-supplied input in the employeeid parameter before incorporating it into SQL queries, creating a classic injection point.

The vulnerable endpoint /check_availability.php appears to be designed for verifying employee availability within the system. When processing requests, the application directly concatenates user input into database queries without proper parameterization or input validation. This architectural flaw allows attackers to craft malicious input that alters the intended SQL query logic.

Given the network-accessible attack vector with no authentication required, attackers can remotely probe and exploit this vulnerability with minimal effort. The potential impact includes unauthorized data extraction, modification of testing records, and possible escalation to broader system compromise depending on database permissions and server configuration.

Root Cause

The root cause of this vulnerability is inadequate input validation and the use of unsanitized user input in SQL query construction. The employeeid parameter is passed directly to database queries without implementing prepared statements, parameterized queries, or proper escaping mechanisms. This represents a fundamental secure coding failure that allows SQL injection attacks.

Attack Vector

The attack can be executed remotely over the network by sending crafted HTTP requests to the /check_availability.php endpoint. An attacker manipulates the employeeid parameter with SQL metacharacters and injection payloads to alter query behavior. Since no authentication or special privileges are required, any remote attacker with network access to the application can attempt exploitation.

The vulnerability allows attackers to:

  • Extract sensitive database contents including patient testing records
  • Modify or delete database entries
  • Potentially execute administrative database operations
  • Bypass authentication mechanisms if employee credentials are stored in the same database

Technical details and proof-of-concept information are available in the GitHub Issue Discussion and VulDB entry #298125.

Detection Methods for CVE-2025-1857

Indicators of Compromise

  • Unusual or malformed requests to /check_availability.php containing SQL syntax in the employeeid parameter
  • Database error messages in application logs indicating SQL syntax errors or injection attempts
  • Unexpected database queries or data access patterns originating from the web application
  • Signs of data exfiltration or unauthorized bulk data retrieval from employee or patient tables

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in the employeeid parameter
  • Implement application-level logging for all requests to /check_availability.php with parameter inspection
  • Configure database query logging to identify anomalous SQL statement structures
  • Use intrusion detection systems (IDS) with SQL injection signature detection capabilities

Monitoring Recommendations

  • Monitor web server access logs for requests to /check_availability.php containing suspicious characters such as single quotes, double dashes, or UNION keywords
  • Track database connection anomalies and query execution times that may indicate injection-based data extraction
  • Set up alerts for HTTP responses containing database error messages or unexpected data patterns
  • Implement real-time monitoring for bulk data access that could indicate successful exploitation

How to Mitigate CVE-2025-1857

Immediate Actions Required

  • Restrict or disable access to /check_availability.php until a patch is available
  • Implement Web Application Firewall rules to block SQL injection attempts targeting the employeeid parameter
  • Review database user permissions and apply principle of least privilege to limit potential damage
  • Enable comprehensive logging on the web server and database to detect exploitation attempts

Patch Information

As of the last NVD update on 2025-06-24, no official vendor patch has been released for this vulnerability. Administrators should monitor the PHP Gurukul website for security updates and patch announcements. In the absence of an official fix, organizations should implement the workarounds described below and consider code-level remediation.

Workarounds

  • Implement input validation to restrict the employeeid parameter to alphanumeric characters only
  • Modify the vulnerable code to use prepared statements with parameterized queries instead of string concatenation
  • Deploy a reverse proxy or WAF to filter malicious SQL injection payloads before they reach the application
  • Consider taking the affected functionality offline if it is not business-critical until proper remediation is completed
bash
# Example Apache .htaccess rule to block common SQL injection patterns
<IfModule mod_rewrite.c>
    RewriteEngine On
    RewriteCond %{QUERY_STRING} (\%27)|(\')|(\-\-)|(\%23)|(#) [NC]
    RewriteRule ^check_availability\.php$ - [F,L]
</IfModule>

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Nipah Virus Testing Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.13%

  • 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 Issue Discussion

  • PHP Gurukul Homepage

  • VulDB CTI ID #298125

  • VulDB #298125

  • VulDB Submission #506120
  • Related CVEs
  • CVE-2025-6157: Phpgurukul Nipah Virus SQLI Vulnerability

  • CVE-2025-4306: Phpgurukul Nipah Virus System SQLi Flaw

  • CVE-2025-4033: Nipah Virus Testing System SQLi Flaw

  • CVE-2025-1580: PHPGurukul Nipah Virus SQLI Vulnerability
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