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CVE Vulnerability Database
Vulnerability Database/CVE-2025-4915

CVE-2025-4915: PHPGurukul Auto/Taxi Stand SQLi Flaw

CVE-2025-4915 is a critical SQL injection vulnerability in PHPGurukul Auto/Taxi Stand Management System 1.0 affecting the price parameter. This article covers technical details, affected versions, exploitation risks, and mitigation.

Published: March 24, 2026

CVE-2025-4915 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Auto Taxi Stand Management System version 1.0. The vulnerability exists in the /admin/auto-taxi-entry-detail.php file, where improper handling of the price parameter allows attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially leading to unauthorized database access, data manipulation, or complete system compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database records, or potentially gain unauthorized access to the underlying system through database-level attacks.

Affected Products

  • PHPGurukul Auto/Taxi Stand Management System version 1.0
  • Systems running vulnerable /admin/auto-taxi-entry-detail.php endpoint

Discovery Timeline

  • May 19, 2025 - CVE-2025-4915 published to NVD
  • May 19, 2025 - Last updated in NVD database

Technical Details for CVE-2025-4915

Vulnerability Analysis

This SQL injection vulnerability occurs in the administrative interface of the Auto Taxi Stand Management System. The application fails to properly sanitize user-supplied input in the price parameter before incorporating it into SQL queries. This allows attackers to manipulate the query structure and execute arbitrary SQL commands against the backend database.

The vulnerability is remotely exploitable and requires no authentication or user interaction, making it accessible to any attacker who can reach the administrative endpoint. Successful exploitation could result in unauthorized read access to sensitive database contents, modification of pricing and transaction records, or potential escalation to broader system compromise depending on database configuration.

Root Cause

The root cause of CVE-2025-4915 is inadequate input validation and the absence of parameterized queries in the /admin/auto-taxi-entry-detail.php file. The price parameter is directly concatenated into SQL statements without sanitization, enabling classic SQL injection attacks. This represents a failure to follow secure coding practices for database interactions, specifically the lack of prepared statements or proper input escaping mechanisms.

Attack Vector

The attack is initiated over the network by sending crafted HTTP requests to the /admin/auto-taxi-entry-detail.php endpoint. An attacker manipulates the price parameter to include SQL metacharacters and malicious query fragments. The vulnerable code processes this tainted input directly, allowing the injected SQL to execute with the privileges of the database user configured for the application.

The vulnerability has been publicly disclosed, with technical details available through the GitHub Issue Discussion and VulDB #309472. Attackers can leverage these resources to craft exploitation payloads targeting vulnerable installations.

Detection Methods for CVE-2025-4915

Indicators of Compromise

  • Unusual SQL syntax or error messages appearing in application logs related to /admin/auto-taxi-entry-detail.php
  • Web access logs showing requests to auto-taxi-entry-detail.php with suspicious price parameter values containing SQL keywords or special characters
  • Database query logs showing malformed or unexpected queries originating from the application
  • Evidence of unauthorized database access or data exfiltration

Detection Strategies

  • Deploy web application firewall (WAF) rules to detect SQL injection patterns in HTTP request parameters
  • Monitor web server access logs for requests targeting /admin/auto-taxi-entry-detail.php with encoded or suspicious price values
  • Implement database activity monitoring to identify anomalous queries or unauthorized data access
  • Enable PHP error logging and review for SQL-related error messages that may indicate exploitation attempts

Monitoring Recommendations

  • Configure alerting for HTTP requests containing common SQL injection payloads such as single quotes, UNION SELECT statements, or OR 1=1 patterns
  • Implement real-time log analysis for the vulnerable endpoint to detect potential attack traffic
  • Monitor database server for unusual query patterns, excessive data retrieval, or connection anomalies
  • Review authentication and authorization logs for signs of privilege escalation following SQL injection

How to Mitigate CVE-2025-4915

Immediate Actions Required

  • Restrict access to the /admin/ directory using network-level controls or authentication mechanisms
  • Consider taking the affected application offline until a patch is available or remediation is implemented
  • Review database permissions and ensure the application uses a least-privilege database account
  • Implement a web application firewall (WAF) with SQL injection protection rules as a temporary measure

Patch Information

As of the last update on May 19, 2025, no official vendor patch has been released for this vulnerability. Organizations should monitor the PHPGurukul website for security updates. The vulnerability details are tracked in VulDB #309472 and discussed in the GitHub Issue.

Workarounds

  • Implement input validation on the price parameter to allow only numeric values
  • Modify the vulnerable code to use parameterized queries or prepared statements for all database interactions
  • Deploy a reverse proxy or WAF to filter malicious SQL injection payloads before they reach the application
  • Restrict network access to the administrative interface to trusted IP addresses only
bash
# Example Apache .htaccess restriction for 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 Auto Taxi Stand Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.28%

  • 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 #309472

  • VulDB #309472

  • VulDB Submission ID #579097
  • Related CVEs
  • CVE-2025-4917: Auto/Taxi Stand Management SQL Injection

  • CVE-2025-4916: PHPGurukul Auto/Taxi Stand SQLI Flaw

  • CVE-2025-4914: PHPGurukul Auto/Taxi Stand SQLi Flaw
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