CVE-2026-86213 in College-Management-System
Summary
by MITRE • 09/06/2026
A vulnerability was found in Mstfakts College-Management-System. This issue affects the function mysqli_query of the file Front-end/university.php of the component Search Handler. The manipulation of the argument book_name/book_author results in sql injection. The attack may be performed from remote. The exploit has been made public and could be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The project was informed of the problem early through an issue report but has not responded yet.
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Analysis
by VulDB Data Team • 09/08/2026
The Mstfakts College-Management-System contains a critical security flaw within its Search Handler component, specifically located in the Front-end/university.php file where the mysqli_query function is invoked without adequate input validation or sanitization. This vulnerability allows for SQL injection attacks through the manipulation of the book_name and book_author parameters. Because these inputs are directly concatenated into database queries executed by PHP's MySQLi extension, an attacker can inject malicious SQL code that alters the intended logic of the query. The presence of a publicly available exploit indicates that this weakness is well-understood within the security community and poses an immediate risk to any instance running unpatched versions of the software.
From a technical perspective, this flaw represents a classic injection vulnerability where user-supplied data is treated as executable code by the database engine. When an attacker provides specially crafted input for either the book name or author fields, they can bypass authentication mechanisms, extract sensitive data from other tables within the same database schema, modify existing records, or potentially execute administrative commands depending on the privileges of the database account used by the application. The use of mysqli_query suggests that prepared statements were not employed to separate SQL logic from data inputs, which is a fundamental best practice for preventing such injection attacks. This lack of parameterization leaves the system vulnerable to both blind and error-based SQL injection techniques, allowing attackers to infer database structure or retrieve sensitive information even if direct output is not displayed on the screen.
The operational impact of this vulnerability extends beyond simple data theft. Since the Mstfakts College-Management-System likely handles personal identifiable information including student records, faculty details, and potentially financial or academic performance data, a successful exploitation could lead to significant privacy breaches and regulatory non-compliance with standards such as GDPR or FERPA depending on the jurisdiction. Furthermore, because the product utilizes a rolling release model for continuous delivery, identifying specific vulnerable versions is challenging. This lack of version granularity complicates patch management efforts for administrators who must assume all currently deployed instances are potentially compromised until explicit confirmation from the vendor indicates otherwise. The fact that the project has not yet responded to early reports exacerbates this risk by leaving users without official guidance on mitigation or remediation timelines.
In terms of industry classification, this vulnerability aligns with CWE-89 Improper Neutralization of Special Elements used in an SQL Command and is categorized under ATT&CK technique T1059 Command Scripting if the injection leads to further system compromise, though primarily it falls under data exfiltration techniques like T1005 Data from Local System. To mitigate this risk immediately, administrators should implement web application firewall rules that detect and block common SQL injection patterns in HTTP requests targeting the university.php endpoint. Additionally, input validation should be enforced at the application layer to reject any non-alphanumeric characters or specific SQL keywords within the book_name and book_author fields until a code-level fix is deployed by the developers. Until then, restricting network access to this component and monitoring database logs for anomalous query patterns are recommended defensive measures to reduce the attack surface while awaiting vendor remediation.