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CVE Vulnerability Database
Vulnerability Database/CVE-2025-5553

CVE-2025-5553: Rail Pass Management System SQLi Vulnerability

CVE-2025-5553 is a critical SQL injection vulnerability in PHPGurukul Rail Pass Management System 1.0 affecting download-pass.php. Attackers can remotely exploit this flaw. This post covers technical details, impact, and mitigation.

Published: March 18, 2026

CVE-2025-5553 Overview

A critical SQL Injection vulnerability has been identified in PHPGurukul Rail Pass Management System version 1.0. This vulnerability exists in the /download-pass.php file, where improper handling of the searchdata parameter allows attackers to inject malicious SQL commands. The attack can be launched remotely without authentication, potentially compromising the entire database backend of the application.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to extract sensitive passenger data, modify database records, or potentially gain unauthorized access to the underlying system.

Affected Products

  • PHPGurukul Rail Pass Management System version 1.0
  • Applications using the vulnerable /download-pass.php endpoint
  • Systems running unpatched instances of Rail Pass Management System

Discovery Timeline

  • 2025-06-04 - CVE-2025-5553 published to NVD
  • 2026-02-06 - Last updated in NVD database

Technical Details for CVE-2025-5553

Vulnerability Analysis

This SQL Injection vulnerability stems from insufficient input validation in the /download-pass.php file of the PHPGurukul Rail Pass Management System. The searchdata parameter is directly incorporated into SQL queries without proper sanitization or parameterized query implementation. This allows attackers to manipulate the query logic by injecting specially crafted 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 attack can be executed remotely over the network without requiring any authentication or user interaction, making it particularly dangerous for publicly accessible installations.

Root Cause

The root cause of this vulnerability is the lack of proper input sanitization and the failure to use parameterized queries or prepared statements when processing user-supplied data in the searchdata parameter. The application directly concatenates user input into SQL queries, allowing attackers to break out of the intended query structure and execute arbitrary SQL commands.

Attack Vector

The vulnerability is exploitable via network-based attacks targeting the /download-pass.php endpoint. An attacker can craft malicious HTTP requests containing SQL injection payloads in the searchdata parameter. Since no authentication is required, any remote attacker with network access to the application can exploit this vulnerability.

The attack involves sending specially crafted input through the searchdata parameter that modifies the SQL query logic. Common exploitation techniques include using UNION-based injection to extract data from other database tables, boolean-based blind injection to enumerate database contents, or time-based blind injection when other methods are not feasible. For detailed technical information about this vulnerability, refer to the GitHub Issue Discussion and VulDB #311005.

Detection Methods for CVE-2025-5553

Indicators of Compromise

  • Unusual or malformed requests to /download-pass.php containing SQL syntax characters such as single quotes, semicolons, or UNION keywords
  • Database error messages appearing in application logs or responses indicating SQL syntax errors
  • Unexpected database queries or access patterns in database audit logs
  • Evidence of data exfiltration or unauthorized data access attempts

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the searchdata parameter
  • Monitor web server access logs for requests to /download-pass.php containing suspicious URL-encoded characters or SQL keywords
  • Deploy database activity monitoring to identify anomalous query patterns or unauthorized data access
  • Configure intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable detailed logging for the Rail Pass Management System application and database backend
  • Set up alerts for database error conditions that may indicate injection attempts
  • Implement rate limiting on the /download-pass.php endpoint to slow down automated exploitation attempts
  • Regularly review database query logs for unusual SELECT, UNION, or data extraction operations

How to Mitigate CVE-2025-5553

Immediate Actions Required

  • Restrict network access to the Rail Pass Management System to trusted IP addresses or internal networks only
  • Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
  • Disable or remove the /download-pass.php functionality if not critical to operations until a patch is available
  • Review database user permissions to ensure the application uses least-privilege database accounts

Patch Information

No official vendor patch has been released for this vulnerability at the time of publication. Organizations using PHPGurukul Rail Pass Management System should monitor the PHP Gurukul website for security updates. Given the severity of the vulnerability and the lack of an official patch, organizations should strongly consider implementing the workarounds below or migrating to a more secure alternative.

Workarounds

  • Apply input validation and sanitization to the searchdata parameter by modifying the source code to use prepared statements with parameterized queries
  • Deploy a reverse proxy or WAF configured to filter SQL injection patterns from incoming requests to /download-pass.php
  • Implement server-side input validation that restricts the searchdata parameter to expected alphanumeric characters only
  • Consider taking the application offline or restricting access until proper remediation can be implemented
bash
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:searchdata "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in searchdata parameter',\
    tag:'CVE-2025-5553'"

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 Probability0.10%

  • 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 Resource

  • VulDB CTI ID #311005

  • VulDB #311005

  • VulDB Submission #587416

  • Exploit-DB #51790
  • Related CVEs
  • CVE-2025-4039: Rail Pass Management System SQLi Flaw
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