CVE-2024-34927 in Complete Web-Based School Management System
Summary
by MITRE • 05/23/2024
A SQL injection vulnerability in /model/update_classroom.php in Campcodes Complete Web-Based School Management System 1.0 allows an attacker to execute arbitrary SQL commands via the name parameter.
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Analysis
by VulDB Data Team • 03/26/2025
The vulnerability identified as CVE-2024-34927 represents a critical SQL injection flaw within the Campcodes Complete Web-Based School Management System version 1.0. This vulnerability specifically affects the /model/update_classroom.php endpoint, which serves as a crucial component for managing classroom information within the educational institution's digital infrastructure. The system's failure to properly sanitize user input in the name parameter creates a dangerous attack vector that can be exploited by malicious actors to gain unauthorized access to the underlying database. The flaw resides in the application's handling of user-supplied data, where direct concatenation of input values into SQL query strings occurs without adequate validation or parameterization measures.
The technical exploitation of this vulnerability follows a classic SQL injection pattern where an attacker crafts malicious input through the name parameter to manipulate the database query execution flow. When the application processes the name parameter without proper input sanitization, an attacker can inject malicious SQL code that gets executed within the database context. This allows for unauthorized data extraction, modification, or deletion of classroom records, potentially compromising the entire school management database. The vulnerability maps directly to CWE-89 which defines SQL injection as the insertion of malicious SQL code into input fields, and aligns with ATT&CK technique T1190 which describes the exploitation of vulnerabilities to gain unauthorized access to systems. The attack surface is particularly concerning as classroom management systems often contain sensitive information about students, staff, and institutional operations.
The operational impact of this vulnerability extends beyond simple data compromise, as it can lead to complete system takeover and unauthorized access to educational records. An attacker could potentially extract student information, modify classroom schedules, or even delete critical educational data, disrupting normal school operations and potentially violating privacy regulations such as FERPA or GDPR. The vulnerability affects the integrity and availability of the school management system, as unauthorized modifications to classroom data could cause operational chaos in scheduling and resource allocation. Organizations using this system face significant risk of data breaches that could expose sensitive student information, including personal details, academic records, and attendance data. The impact is amplified by the fact that this is a web-based system that likely operates in a production environment with real-time access to educational institution data.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and parameterized queries throughout the application code. The primary defense mechanism involves replacing direct string concatenation with prepared statements or parameterized queries that separate SQL code from user input data. Additionally, input sanitization measures including whitelisting of acceptable characters and length restrictions should be implemented for all user-supplied parameters. Organizations should conduct comprehensive code reviews to identify and remediate similar vulnerabilities across the entire application codebase, particularly in endpoints that handle database interactions. Regular security assessments and penetration testing should be conducted to ensure that all input handling mechanisms properly validate and sanitize data before processing. The system should also implement proper access controls and logging mechanisms to detect and respond to unauthorized access attempts, while maintaining audit trails of all database operations for forensic analysis purposes.