CVE-2025-5663 is a SQL Injection vulnerability identified in version 1.0 of the PHPGurukul Auto Taxi Stand Management System, specifically within the /admin/search-autoortaxi.php file. The vulnerability arises from improper sanitization or validation of the 'searchdata' parameter, which is directly used in SQL queries without adequate protection. This flaw allows an unauthenticated remote attacker to inject malicious SQL code, potentially manipulating the backend database. Exploitation could lead to unauthorized data access, modification, or deletion, compromising the confidentiality, integrity, and availability of the system's data. The vulnerability has a CVSS 4.0 base score of 6.9, categorized as medium severity, reflecting the ease of remote exploitation without authentication or user interaction, but with limited scope and impact. Although no public exploits are currently known in the wild, the disclosure of the vulnerability increases the risk of exploitation attempts. The affected system is typically used to manage taxi stand operations, including vehicle and driver data, bookings, and possibly financial transactions, making the data sensitive and operational continuity critical.

For European organizations using the PHPGurukul Auto Taxi Stand Management System, this vulnerability poses significant risks. Exploitation could lead to unauthorized access to personal data of drivers and customers, violating GDPR requirements and potentially resulting in legal and financial penalties. Data integrity could be compromised, affecting booking accuracy and operational decisions. Availability impacts could disrupt taxi stand services, leading to business interruptions and reputational damage. Given the critical role of transportation infrastructure in urban mobility, successful attacks could also have broader societal impacts. The medium severity rating suggests that while the vulnerability is exploitable remotely without authentication, the overall impact is somewhat contained, but still warrants prompt attention to prevent escalation or chaining with other vulnerabilities.

To mitigate this vulnerability, organizations should immediately review and sanitize all inputs, especially the 'searchdata' parameter, using parameterized queries or prepared statements to prevent SQL injection. Applying input validation and employing web application firewalls (WAFs) with SQL injection detection rules can provide additional protection. Since no official patches are currently available, organizations should consider isolating the affected system from public networks or restricting access to trusted administrators only. Conducting thorough code audits to identify and remediate similar injection points is recommended. Regularly monitoring logs for suspicious query patterns and anomalous database activities will help in early detection of exploitation attempts. Planning for an upgrade or patch deployment from the vendor once available is critical. Additionally, ensuring backups are current and tested will aid in recovery if data integrity is compromised.