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CVE Vulnerability Database
Vulnerability Database/CVE-2025-7483

CVE-2025-7483: Vehicle Parking Management SQL Injection

CVE-2025-7483 is a critical SQL injection vulnerability in PHPGurukul Vehicle Parking Management System 1.13 affecting the forgot-password functionality. This article covers technical details, affected versions, impact, and mitigation.

Published: March 25, 2026

CVE-2025-7483 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Vehicle Parking Management System version 1.13. The vulnerability exists in the /users/forgot-password.php file where improper handling of the email parameter allows attackers to inject malicious SQL queries. This issue can be exploited remotely without authentication, potentially allowing unauthorized access to sensitive database information, data manipulation, or complete database compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially gain unauthorized access to the underlying system.

Affected Products

  • PHPGurukul Vehicle Parking Management System version 1.13
  • Installations with the vulnerable /users/forgot-password.php endpoint exposed

Discovery Timeline

  • July 12, 2025 - CVE-2025-7483 published to NVD
  • July 15, 2025 - Last updated in NVD database

Technical Details for CVE-2025-7483

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the password recovery functionality of the Vehicle Parking Management System. The vulnerable endpoint /users/forgot-password.php fails to properly sanitize user-supplied input in the email parameter before incorporating it into SQL queries.

When a user submits an email address through the forgot password form, the application constructs a SQL query to look up the associated account. Due to insufficient input validation, an attacker can craft malicious input containing SQL meta-characters and commands that alter the intended query logic. This allows the attacker to manipulate database operations, potentially extracting sensitive information such as user credentials, vehicle records, and payment information stored in the parking management database.

Root Cause

The root cause of this vulnerability is the lack of proper input sanitization and the use of dynamic SQL query construction without parameterized queries or prepared statements. The email parameter from user input is directly concatenated into SQL statements, allowing attackers to escape the intended query context and inject arbitrary SQL commands.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker simply needs to access the /users/forgot-password.php endpoint and submit a crafted payload in the email parameter. The exploit has been publicly disclosed, making this vulnerability particularly dangerous for unpatched installations.

The attack vector involves sending HTTP requests to the vulnerable endpoint with specially crafted SQL injection payloads in the email field. Common techniques include union-based injection to extract data, boolean-based blind injection to infer database contents, or time-based blind injection for scenarios where error messages are suppressed. For detailed technical information, refer to the GitHub Issue Discussion.

Detection Methods for CVE-2025-7483

Indicators of Compromise

  • Unusual or malformed values in the email parameter of requests to /users/forgot-password.php
  • SQL syntax errors or database error messages in application logs
  • Unexpected database queries containing SQL keywords like UNION, SELECT, OR 1=1, or comment sequences (--, /**/)
  • Multiple rapid requests to the forgot password endpoint from single IP addresses

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in HTTP request parameters
  • Monitor application and database logs for suspicious query patterns or SQL error messages
  • Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack vectors
  • Use database activity monitoring to detect unauthorized SELECT statements or data exfiltration attempts

Monitoring Recommendations

  • Enable detailed logging on the web server for all requests to /users/forgot-password.php
  • Configure database audit logging to track all queries originating from the application
  • Set up alerts for unusual patterns of database access or query failures
  • Monitor for abnormal outbound network traffic that may indicate data exfiltration

How to Mitigate CVE-2025-7483

Immediate Actions Required

  • Restrict access to the /users/forgot-password.php endpoint until a patch is applied
  • Implement WAF rules to block SQL injection attempts targeting the vulnerable parameter
  • Review and monitor logs for any signs of exploitation attempts
  • Consider temporarily disabling the forgot password functionality if business operations permit

Patch Information

As of the last NVD update on July 15, 2025, no official patch information has been released by PHPGurukul. Organizations should monitor the PHP Gurukul website and the VulDB entry for updates. In the absence of an official patch, apply the workarounds below and consider implementing custom code fixes using prepared statements.

Workarounds

  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the application
  • Implement input validation at the application layer to reject email parameters containing SQL meta-characters
  • Use PHP's mysqli_real_escape_string() or PDO prepared statements if modifying the source code directly
  • Restrict network access to the vulnerable endpoint using IP whitelisting or VPN requirements
  • Consider replacing the vulnerable password recovery mechanism with a secure alternative
bash
# Example: Block access to vulnerable endpoint via .htaccess
<Files "forgot-password.php">
    Order Deny,Allow
    Deny from all
    # Allow only from trusted IPs if needed
    # Allow from 192.168.1.0/24
</Files>

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Vehicle Parking 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:P/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
  • Technical References
  • GitHub Issue Discussion

  • PHP Gurukul Resource

  • VulDB CTI ID #316133

  • VulDB #316133

  • VulDB Submission #610571

  • VulDB Submission #610581
  • Related CVEs
  • CVE-2025-7521: PHPGurukul Parking System SQLi Vulnerability

  • CVE-2025-4703: Vehicle Parking Management System SQLi
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