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CVE Vulnerability Database
Vulnerability Database/CVE-2025-4039

CVE-2025-4039: Rail Pass Management System SQLi Flaw

CVE-2025-4039 is a critical SQL injection vulnerability in Phpgurukul Rail Pass Management System 1.0 affecting /admin/search-pass.php. Attackers can exploit the searchdata parameter remotely to execute malicious queries.

Published: March 25, 2026

CVE-2025-4039 Overview

A critical SQL Injection vulnerability has been identified in PHPGurukul Rail Pass Management System version 1.0. The flaw exists in the /admin/search-pass.php file, where the searchdata parameter is improperly sanitized, allowing remote attackers to inject malicious SQL queries. This vulnerability enables unauthorized access to sensitive database information, potential data manipulation, and could lead to complete system compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive passenger data, modify database records, or potentially escalate to further system compromise through the exposed administrative interface.

Affected Products

  • PHPGurukul Rail Pass Management System 1.0
  • Applications using the vulnerable /admin/search-pass.php endpoint
  • Systems running unpatched versions of the Rail Pass Management System

Discovery Timeline

  • April 28, 2025 - CVE-2025-4039 published to NVD
  • April 29, 2025 - Last updated in NVD database

Technical Details for CVE-2025-4039

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) stems from improper input validation in the administrative search functionality of the Rail Pass Management System. The searchdata parameter in /admin/search-pass.php does not adequately sanitize user-supplied input before incorporating it into SQL queries. This classic injection flaw (also classified under CWE-74 for general injection) allows attackers to manipulate the underlying database queries, potentially exposing all stored data including passenger information, credentials, and administrative records.

The vulnerability is remotely exploitable without requiring any authentication or user interaction, making it particularly dangerous for internet-facing deployments.

Root Cause

The root cause of this vulnerability is the failure to implement parameterized queries or prepared statements when handling the searchdata input parameter. The application directly concatenates user-supplied input into SQL query strings without proper sanitization, escaping, or validation. This fundamental secure coding oversight allows specially crafted input to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication. An attacker can submit malicious SQL syntax through the searchdata parameter in HTTP requests to the /admin/search-pass.php endpoint. By crafting payloads that include SQL metacharacters and additional query logic, attackers can:

  • Extract sensitive data from the database using UNION-based injection
  • Bypass authentication mechanisms
  • Modify or delete database records
  • Potentially execute system commands if database permissions allow

The exploit has been publicly disclosed, increasing the risk of widespread exploitation. Technical details are available in the GitHub Issue Discussion.

Detection Methods for CVE-2025-4039

Indicators of Compromise

  • Unusual SQL error messages in web server logs originating from /admin/search-pass.php
  • HTTP requests to /admin/search-pass.php containing SQL keywords such as UNION, SELECT, OR 1=1, or single quotes in the searchdata parameter
  • Unexpected database queries or data access patterns in database audit logs
  • Anomalous response sizes from the search endpoint indicating data exfiltration

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the searchdata parameter
  • Implement logging and monitoring for all requests to /admin/search-pass.php with alerting on suspicious query patterns
  • Enable database query logging and monitor for unusual SELECT statements or UNION operations
  • Utilize intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Monitor web server access logs for repeated requests to /admin/search-pass.php with varying searchdata values
  • Configure alerts for HTTP 500 errors or database connection errors that may indicate injection attempts
  • Review database logs for unauthorized data access or schema enumeration queries
  • Implement rate limiting on the search endpoint to slow automated exploitation attempts

How to Mitigate CVE-2025-4039

Immediate Actions Required

  • Restrict access to the /admin/search-pass.php endpoint using IP-based access controls or VPN requirements
  • Implement a Web Application Firewall (WAF) with SQL injection protection rules
  • Consider temporarily disabling the search functionality until a patch is available
  • Review database permissions and apply principle of least privilege to application database accounts

Patch Information

As of the last update on April 29, 2025, no official patch has been released by PHPGurukul. Organizations should monitor the PHP Gurukul website and the VulDB entry for patch announcements. In the absence of an official fix, implementing the workarounds below is strongly recommended.

Workarounds

  • Deploy a WAF rule to filter requests containing SQL injection patterns in the searchdata parameter
  • Implement input validation at the application level using prepared statements with parameterized queries
  • Restrict network access to administrative endpoints to trusted IP ranges only
  • Apply database-level restrictions to limit the application user's privileges to only necessary operations
bash
# Example: Apache .htaccess to restrict access to admin directory
<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 Rail Pass Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.25%

  • 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

  • CWE-89
  • Technical References
  • GitHub Issue Discussion

  • PHP Gurukul Overview

  • VulDB CTI ID #306404

  • VulDB #306404

  • VulDB Submission #559345
  • Related CVEs
  • CVE-2025-5553: Rail Pass Management System SQLi Vulnerability
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