CVE-2023-41522 in Student Attendance Management System
Summary
by MITRE • 08/07/2025
Student Attendance Management System v1 was discovered to contain multiple SQL injection vulnerabilities in createStudents.php via the Id, firstname, and admissionNumber parameters.
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Analysis
by VulDB Data Team • 08/09/2025
The Student Attendance Management System version 1 presents a critical security vulnerability through multiple SQL injection flaws within its createStudents.php component. This vulnerability specifically affects the Id, firstname, and admissionNumber input parameters, creating a significant attack surface that could allow unauthorized users to manipulate the underlying database structure. The flaw stems from insufficient input validation and sanitization practices within the application's data handling mechanisms, enabling malicious actors to inject crafted SQL commands that bypass normal authentication and authorization controls.
The technical exploitation of this vulnerability follows standard SQL injection attack patterns where attackers can manipulate the database queries by injecting malicious payloads through the vulnerable parameters. When the application processes these inputs without proper sanitization, the injected SQL code executes within the database context, potentially allowing attackers to extract sensitive information, modify database records, or even gain elevated privileges within the system. The vulnerability aligns with CWE-89 which categorizes SQL injection as a persistent flaw in application security where untrusted data is directly incorporated into SQL commands without adequate escaping or parameterization.
The operational impact of this vulnerability extends beyond simple data compromise, as it could enable attackers to establish persistent access to the student database, potentially exposing confidential academic records, personal information, and institutional data. Given that this is a student attendance management system, the compromised data could include sensitive personal identifiers, attendance patterns, and potentially academic performance metrics that could be exploited for identity theft, social engineering attacks, or other malicious activities. The vulnerability also represents a significant risk to the institution's data integrity and regulatory compliance, particularly in environments governed by privacy laws such as FERPA or GDPR.
Organizations utilizing this system should immediately implement comprehensive input validation measures, including parameterized queries, proper escaping of special characters, and thorough sanitization of all user inputs. The recommended mitigations include implementing web application firewalls, conducting regular security assessments, and ensuring proper database access controls through principle of least privilege. From an ATT&CK framework perspective, this vulnerability maps to techniques such as T1071.004 for application layer protocol usage and T1190 for exploitation of remote services, while the remediation strategies should address T1566 for social engineering prevention and T1078 for valid accounts usage. Regular security training for developers and implementation of secure coding practices are essential to prevent similar vulnerabilities in future releases and maintain overall system security posture.