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CVE Vulnerability Database
Vulnerability Database/CVE-2025-4917

CVE-2025-4917: Auto/Taxi Stand Management SQL Injection

CVE-2025-4917 is a critical SQL injection vulnerability in PHPGurukul Auto/Taxi Stand Management System 1.0 affecting the drivername parameter. This article covers technical details, attack vectors, and mitigation strategies.

Published: March 11, 2026

CVE-2025-4917 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/new-autoortaxi-entry-form.php file, where the drivername parameter is susceptible to SQL injection attacks. This flaw allows remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, modification, or deletion. The exploit has been publicly disclosed, and other parameters in the application may also be affected.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain further access to the underlying system through the vulnerable taxi management application.

Affected Products

  • PHPGurukul Auto/Taxi Stand Management System 1.0
  • Web applications using the vulnerable /admin/new-autoortaxi-entry-form.php endpoint
  • PHP-based deployments with MySQL backend databases

Discovery Timeline

  • 2025-05-19 - CVE-2025-4917 published to NVD
  • 2025-05-19 - Last updated in NVD database

Technical Details for CVE-2025-4917

Vulnerability Analysis

This SQL injection vulnerability affects the administrative interface of the PHPGurukul Auto Taxi Stand Management System. The vulnerable endpoint /admin/new-autoortaxi-entry-form.php fails to properly sanitize user-supplied input in the drivername parameter before incorporating it into SQL queries. This classic injection flaw (CWE-89) stems from improper neutralization of special elements used in SQL commands, allowing attackers to inject malicious SQL statements that execute with the privileges of the database user.

The vulnerability is accessible over the network and requires no authentication or user interaction to exploit. While the current assessment indicates potential for partial impact on confidentiality, integrity, and availability, successful exploitation could allow attackers to read sensitive driver and customer information, manipulate booking records, or disrupt service operations.

Root Cause

The root cause of this vulnerability is improper input validation (CWE-74) combined with the direct concatenation of user-supplied data into SQL query strings without parameterized queries or prepared statements. The drivername parameter is passed directly to the database query engine, allowing SQL metacharacters to modify the intended query logic. The application lacks input sanitization, output encoding, and does not implement secure database access patterns such as parameterized queries or stored procedures.

Attack Vector

The attack can be executed remotely over the network by sending crafted HTTP requests to the /admin/new-autoortaxi-entry-form.php endpoint. An attacker can manipulate the drivername parameter to inject SQL commands. For example, by appending SQL injection payloads such as single quotes, UNION statements, or boolean-based logic, an attacker can extract database contents, bypass authentication mechanisms, or modify records.

The vulnerability can be exploited through standard HTTP POST or GET requests depending on how the form processes input. Attackers may use automated tools like SQLMap to enumerate database tables, extract credentials, and potentially escalate their access. Technical details and proof-of-concept information have been documented in the GitHub Issue Discussion and VulDB #309474.

Detection Methods for CVE-2025-4917

Indicators of Compromise

  • Unusual HTTP requests to /admin/new-autoortaxi-entry-form.php containing SQL metacharacters such as single quotes, UNION keywords, or encoded payloads
  • Database error messages appearing in application logs or HTTP responses indicating malformed SQL queries
  • Unexpected database queries or access patterns in MySQL slow query logs or general query logs
  • Evidence of data exfiltration or unauthorized SELECT statements against sensitive tables

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the drivername parameter and other form inputs
  • Implement application-level logging to capture and alert on requests containing SQL injection signatures targeting the vulnerable endpoint
  • Monitor database audit logs for anomalous query patterns, especially those involving UNION-based queries or information_schema access
  • Use SentinelOne Singularity to detect post-exploitation behaviors such as webshell deployment or lateral movement following successful SQL injection

Monitoring Recommendations

  • Enable verbose logging on web servers to capture full request parameters for forensic analysis
  • Configure real-time alerting for requests to /admin/new-autoortaxi-entry-form.php that contain suspicious characters or keywords
  • Establish baseline database query patterns and alert on deviations that may indicate SQL injection exploitation
  • Regularly review access logs for the administrative panel to identify unauthorized access attempts

How to Mitigate CVE-2025-4917

Immediate Actions Required

  • Restrict network access to the /admin/ directory using IP whitelisting or VPN requirements to limit exposure
  • Deploy Web Application Firewall rules to filter SQL injection attempts targeting the drivername parameter
  • Consider temporarily disabling the vulnerable form if the functionality is not critical to operations
  • Review database user privileges and restrict the application's database account to minimum required permissions

Patch Information

At the time of publication, no official patch has been released by PHPGurukul for this vulnerability. Organizations using the Auto Taxi Stand Management System should monitor the PHPGurukul website for security updates and patches. In the absence of an official fix, implementing the workarounds below is strongly recommended. Consider migrating to alternative solutions if no patch is released in a timely manner.

Workarounds

  • Implement input validation at the application level by modifying the PHP code to use prepared statements with parameterized queries for all database operations
  • Deploy a reverse proxy or WAF such as ModSecurity with OWASP Core Rule Set to block SQL injection attacks at the network perimeter
  • Apply principle of least privilege to the database user account, revoking unnecessary permissions like FILE, DROP, or administrative privileges
  • Isolate the application server in a network segment with restricted database access and egress filtering
bash
# Example ModSecurity rule to block SQL injection in drivername parameter
SecRule ARGS:drivername "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection Attempt Blocked in drivername parameter',\
    log,\
    auditlog"

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 Probability0.07%

  • 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 Blog

  • VulDB CTI #309474

  • VulDB #309474

  • VulDB Submission #579100
  • Related CVEs
  • CVE-2025-4916: PHPGurukul Auto/Taxi Stand SQLI Flaw

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

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