CVE-2024-8346 in Computer Laboratory Management System
Summary
by MITRE • 08/31/2024
A vulnerability classified as critical has been found in SourceCodester Computer Laboratory Management System 1.0. Affected is the function update_settings_info of the file /classes/SystemSettings.php?f=update_settings. The manipulation of the argument name leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
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Analysis
by VulDB Data Team • 09/05/2024
The vulnerability identified as CVE-2024-8346 represents a critical sql injection flaw within the SourceCodester Computer Laboratory Management System version 1.0. This system is designed to manage computer laboratory operations and typically handles sensitive institutional data including user credentials, laboratory schedules, and resource allocations. The vulnerability resides in the update_settings_info function located within the /classes/SystemSettings.php file, specifically within the update_settings endpoint. The flaw manifests when the application fails to properly sanitize or validate the name parameter before incorporating it into sql query constructions, creating an avenue for malicious actors to manipulate database operations through crafted input sequences.
The technical implementation of this vulnerability stems from improper input validation practices and inadequate parameter sanitization within the system's backend processing logic. When an attacker submits a malicious value through the name argument, the application directly incorporates this unvalidated data into sql queries without appropriate escaping or parameterization mechanisms. This allows for arbitrary sql command execution, enabling attackers to extract, modify, or delete database contents. The vulnerability's remote exploitability means that malicious actors can leverage this flaw without requiring physical access to the system, potentially compromising the entire database infrastructure. The disclosure of exploitation techniques to the public significantly increases the risk profile, as it provides adversaries with readily available methods to target vulnerable installations.
The operational impact of this vulnerability extends beyond simple data compromise to encompass complete system takeover capabilities. Attackers could potentially gain unauthorized access to user accounts, manipulate laboratory scheduling systems, and access confidential institutional information. The sql injection vulnerability could enable privilege escalation attacks, allowing unauthorized users to assume administrative roles within the system. Organizations relying on this management system face significant risks including data breaches, service disruption, and potential regulatory compliance violations. The critical classification indicates that successful exploitation can result in substantial damage to system integrity and availability, potentially affecting multiple users and operational processes across the computer laboratory environment.
Mitigation strategies for CVE-2024-8346 should prioritize immediate patch application from the vendor, as this represents the most effective defense against the identified vulnerability. Organizations should implement comprehensive input validation measures, including parameterized queries and proper escaping techniques, to prevent sql injection attacks. Network segmentation and access controls should be strengthened to limit potential attack vectors, while regular security assessments should be conducted to identify similar vulnerabilities within the system architecture. The vulnerability aligns with CWE-89 sql injection weakness classification and represents a significant concern under the ATT&CK framework's credential access and persistence tactics. System administrators should monitor for suspicious database activities and implement intrusion detection systems to identify potential exploitation attempts. Additionally, comprehensive security awareness training for developers should emphasize secure coding practices and proper input validation methodologies to prevent similar vulnerabilities in future system implementations.