CVE-2024-7360 in Tracking Monitoring Management System
Summary
by MITRE • 08/01/2024
A vulnerability classified as problematic has been found in SourceCodester Tracking Monitoring Management System 1.0. This affects an unknown part of the file /ajax.php. The manipulation leads to cross-site request forgery. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-273339.
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Analysis
by VulDB Data Team • 03/16/2025
The vulnerability identified as CVE-2024-7360 represents a significant security flaw within the SourceCodester Tracking Monitoring Management System version 1.0. This system, designed for operational tracking and monitoring purposes, contains a cross-site request forgery vulnerability that compromises user session integrity and system security. The flaw specifically resides within the /ajax.php component, which serves as a critical interface for asynchronous data handling and user interactions. The vulnerability's classification as problematic indicates substantial risk to system availability and data integrity, particularly given the nature of tracking and monitoring systems that often handle sensitive operational data.
The technical implementation of this CSRF vulnerability stems from insufficient validation of request origins and lack of proper anti-CSRF token mechanisms within the ajax.php file. When users interact with the system through web-based interfaces, the application fails to adequately verify that requests originate from legitimate sources within the same session context. This weakness allows malicious actors to craft specially crafted requests that appear to come from authenticated users, leveraging the victim's existing session cookies to perform unauthorized actions. The vulnerability operates at the application layer, specifically targeting the web interface components that handle AJAX requests, making it particularly dangerous as it can execute without user interaction once the malicious payload is delivered.
The operational impact of this vulnerability extends beyond simple data exposure, potentially enabling attackers to manipulate tracking data, modify system configurations, or execute unauthorized administrative functions within the monitoring system. Given that this is a tracking and monitoring system, the consequences could be severe, including disruption of critical operational processes, data tampering, or complete system compromise. The remote exploitation capability means that attackers do not require physical access to the system or network, allowing them to target users from any location with internet connectivity. This vulnerability particularly affects organizations that rely on the system for critical infrastructure monitoring, as successful exploitation could lead to undetected system modifications or data manipulation that goes unnoticed for extended periods.
Mitigation strategies for CVE-2024-7360 should prioritize immediate implementation of anti-CSRF token validation mechanisms throughout the application's AJAX handling components. The most effective approach involves implementing unique, unpredictable tokens for each user session that must be validated on every state-changing request. Organizations should also consider implementing proper origin validation checks and ensuring that all requests to ajax.php are properly authenticated and authorized. The vulnerability aligns with CWE-352, which specifically addresses Cross-Site Request Forgery weaknesses in web applications. From an ATT&CK framework perspective, this vulnerability maps to T1566.001, representing the initial access phase through malicious web content, and T1071.001, covering application layer protocols through web services. Additionally, the vulnerability demonstrates characteristics of T1531, involving the manipulation of existing web services to perform unauthorized actions. Security teams should implement network monitoring to detect anomalous AJAX request patterns and establish regular security assessments to identify similar vulnerabilities in other system components that may be susceptible to similar attack vectors.