CVE-2025-46179 is a SQL Injection vulnerability identified in the askquery.php file of the CloudClassroom-PHP Project version 1.0. The vulnerability arises because the squeryx parameter accepts user input without proper sanitization or validation before incorporating it directly into backend SQL queries. This lack of input sanitization allows an attacker to inject malicious SQL code, potentially manipulating the database queries executed by the application. Exploiting this vulnerability could enable an attacker to retrieve, modify, or delete sensitive data stored in the database, bypass authentication mechanisms, or escalate privileges within the application. Since the vulnerability is located in a PHP-based educational platform, it is likely that the affected system manages user data, course content, and possibly sensitive academic records. The absence of a CVSS score and known exploits in the wild suggests that this vulnerability is newly disclosed and may not yet be widely exploited. However, the fundamental nature of SQL Injection vulnerabilities makes this a critical security concern. The vulnerability does not specify affected versions beyond v1.0, and no official patches or mitigations have been published at this time. Given that the vulnerability is in a web application component, exploitation would typically require the attacker to send crafted HTTP requests containing malicious payloads in the squeryx parameter, which may or may not require authentication depending on the application’s access controls around askquery.php. No user interaction beyond sending requests is necessary, making automated exploitation feasible if the endpoint is exposed.

For European organizations using the CloudClassroom-PHP Project v1.0, this SQL Injection vulnerability poses significant risks to confidentiality, integrity, and availability of educational data. Successful exploitation could lead to unauthorized access to personal data of students and staff, alteration or deletion of academic records, and disruption of educational services. This could result in regulatory non-compliance under GDPR due to data breaches, reputational damage, and operational downtime. Educational institutions and training providers relying on this platform may face increased risk of targeted attacks, especially if the platform is internet-facing without adequate network segmentation or web application firewalls. The impact extends beyond data theft to potential manipulation of academic outcomes or unauthorized administrative access, which could undermine trust in the institution’s digital infrastructure. Additionally, if attackers leverage this vulnerability to gain deeper access, it could serve as a foothold for lateral movement within organizational networks, amplifying the overall security risk.

1. Immediate code review and remediation: Developers should implement proper input validation and parameterized queries (prepared statements) in askquery.php to prevent SQL Injection. Avoid directly embedding user input into SQL statements. 2. Apply Web Application Firewall (WAF) rules: Deploy WAF solutions with custom rules to detect and block SQL Injection patterns targeting the squeryx parameter. 3. Restrict access to askquery.php: Limit access to this endpoint through network segmentation, IP whitelisting, or authentication mechanisms to reduce exposure. 4. Conduct security testing: Perform thorough penetration testing and code audits on the CloudClassroom-PHP application to identify and remediate similar vulnerabilities. 5. Monitor logs and alerts: Implement monitoring for unusual database queries or failed injection attempts to detect exploitation attempts early. 6. Patch management: Stay updated with vendor releases or community patches for CloudClassroom-PHP and apply them promptly once available. 7. Educate developers and administrators: Provide training on secure coding practices, especially regarding input sanitization and database interaction. 8. Backup critical data regularly: Ensure reliable backups of educational data to enable recovery in case of data tampering or loss due to exploitation.