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CVE Vulnerability Database
Vulnerability Database/CVE-2025-1582

CVE-2025-1582: Online Nurse Hiring System SQLi Vulnerability

CVE-2025-1582 is a critical SQL injection vulnerability in PHPGurukul Online Nurse Hiring System 1.0 affecting /admin/all-request.php. This article covers technical details, affected versions, security impact, and mitigation.

Published: April 1, 2026

CVE-2025-1582 Overview

A SQL Injection vulnerability has been discovered in PHPGurukul Online Nurse Hiring System version 1.0. The vulnerability exists in the /admin/all-request.php file, where the viewid parameter is improperly sanitized before being used in SQL queries. This flaw allows authenticated attackers to manipulate database queries remotely, potentially leading to unauthorized data access, modification, or deletion.

Critical Impact

Attackers can exploit this SQL injection vulnerability to bypass authentication controls, extract sensitive patient and nurse data from the database, modify records, or potentially gain further system access through database compromise.

Affected Products

  • PHPGurukul Online Nurse Hiring System 1.0
  • Web applications using the vulnerable /admin/all-request.php component

Discovery Timeline

  • 2025-02-23 - CVE-2025-1582 published to NVD
  • 2025-02-28 - Last updated in NVD database

Technical Details for CVE-2025-1582

Vulnerability Analysis

This vulnerability affects the administrative interface of the Online Nurse Hiring System, specifically the request management functionality. The viewid parameter in /admin/all-request.php accepts user-supplied input that is directly incorporated into SQL queries without proper sanitization or parameterization. This classic injection pattern allows attackers with low-privilege access to the administrative panel to inject malicious SQL statements.

The vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The flaw requires network access and low privilege levels to exploit, meaning an attacker must have some level of authentication to the admin panel.

Root Cause

The root cause of this vulnerability is improper input validation and the use of dynamic SQL query construction. The viewid parameter is passed directly into database queries without:

  • Parameterized queries or prepared statements
  • Input sanitization or validation
  • Proper escaping of special SQL characters

This allows malicious SQL syntax injected through the parameter to be executed as part of the database query, giving attackers direct access to manipulate database operations.

Attack Vector

The attack is conducted remotely over the network. An attacker with authenticated access to the admin panel can craft malicious requests to the /admin/all-request.php endpoint, injecting SQL commands through the viewid parameter. The exploit has been publicly disclosed, increasing the risk of exploitation in the wild.

The vulnerability allows attackers to perform various SQL injection techniques including UNION-based injection, boolean-based blind injection, and time-based blind injection to extract data or modify database contents.

Technical details and proof-of-concept information can be found in the GitHub CVE Issue Discussion and the VulDB entry #296558.

Detection Methods for CVE-2025-1582

Indicators of Compromise

  • Suspicious HTTP requests to /admin/all-request.php containing SQL metacharacters in the viewid parameter
  • Unexpected database errors or unusual query patterns in application logs
  • Anomalous data modifications in nurse hiring request records
  • Authentication bypass attempts or unauthorized administrative actions

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the viewid parameter
  • Monitor application logs for requests containing SQL keywords (UNION, SELECT, DROP, INSERT) in URL parameters
  • Configure database audit logging to detect unusual query patterns or unauthorized data access
  • Deploy intrusion detection systems with SQL injection signature detection for traffic to /admin/all-request.php

Monitoring Recommendations

  • Enable verbose logging on the web server to capture full request URIs and parameters
  • Set up alerts for multiple failed or malformed requests to administrative endpoints
  • Monitor database transaction logs for unexpected bulk data extraction or modification operations
  • Implement real-time security monitoring for anomalous patterns in admin panel access

How to Mitigate CVE-2025-1582

Immediate Actions Required

  • Restrict access to the administrative panel (/admin/) to trusted IP addresses only
  • Implement input validation on the viewid parameter to accept only numeric values
  • Deploy a Web Application Firewall with SQL injection protection rules
  • Review database logs for evidence of prior exploitation and assess data integrity
  • Consider taking the application offline if a patch is not available and the system contains sensitive data

Patch Information

As of the last NVD update on 2025-02-28, no official vendor patch has been released for this vulnerability. Organizations using PHPGurukul Online Nurse Hiring System 1.0 should monitor the PHP Gurukul website for security updates. In the absence of an official patch, implementing the workarounds below is strongly recommended.

Workarounds

  • Modify the vulnerable /admin/all-request.php file to use prepared statements with parameterized queries
  • Add server-side input validation to ensure viewid contains only integer values before processing
  • Implement a Web Application Firewall (WAF) rule to block requests containing SQL injection patterns
  • Restrict administrative panel access to VPN or internal network connections only
  • Consider using virtual patching through security tools until an official fix is available
bash
# Example Apache .htaccess configuration to restrict admin access
<Directory "/var/www/html/admin">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    Allow from 10.0.0.0/8
</Directory>

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Online Nurse Hiring System

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/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

  • CWE-89
  • Technical References
  • GitHub CVE Issue Discussion

  • PHP Gurukul Security Resource

  • VulDB CTI ID #296558

  • VulDB #296558

  • VulDB Submission ID #504451
  • Related CVEs
  • CVE-2025-5230: Nurse Hiring System SQL Injection Flaw

  • CVE-2025-1588: Phpgurukul Nurse Hiring Path Traversal
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