CVE-2024-22917 in Dynamic Lab Management System
Summary
by MITRE • 02/27/2024
SQL injection vulnerability in Dynamic Lab Management System Project in PHP v.1.0 allows a remote attacker to execute arbitrary code via a crafted script.
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Analysis
by VulDB Data Team • 08/15/2024
The Dynamic Lab Management System Project version 1.0 contains a critical sql injection vulnerability that presents significant security risks to organizations relying on this php based laboratory management platform. This vulnerability exists within the system's database interaction mechanisms and represents a classic sql injection flaw that can be exploited by remote attackers without authentication. The vulnerability stems from insufficient input validation and sanitization of user-supplied data that flows directly into sql query construction without proper escaping or parameterization. Attackers can craft malicious sql payloads that manipulate the database query execution flow, potentially leading to complete system compromise and unauthorized access to sensitive laboratory data.
The technical exploitation of this vulnerability follows standard sql injection attack patterns where malicious input is injected into database queries through user-controllable parameters. In the context of a laboratory management system, this could involve manipulating login forms, search functions, or data entry points that interact with the backend database. The vulnerability allows for arbitrary code execution because the system does not properly escape or parameterize user inputs before incorporating them into sql statements. This creates opportunities for attackers to perform data manipulation, extraction, or even system command execution depending on the database configuration and privileges. The vulnerability specifically affects the php implementation and demonstrates poor secure coding practices that violate fundamental security principles.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete system compromise and potential disruption of laboratory operations. Laboratory management systems typically contain sensitive information including patient data, research results, equipment logs, and administrative records that require protection under various regulatory frameworks. An attacker exploiting this vulnerability could gain unauthorized access to confidential laboratory information, modify critical data, or potentially escalate privileges to execute system commands. The remote nature of the attack means that threat actors do not require physical access to the system and can exploit the vulnerability from anywhere on the internet, making it particularly dangerous for organizations with remote access capabilities. This vulnerability directly impacts the integrity, confidentiality, and availability of the laboratory management system according to the CIA triad principles.
Organizations utilizing this system should immediately implement multiple layers of defense to protect against exploitation. The primary mitigation involves implementing proper input validation and parameterized queries throughout the application code to prevent sql injection attacks. Database access should be restricted to minimal required privileges, and all user inputs should be properly sanitized before being processed. Additionally, implementing web application firewalls and intrusion detection systems can help detect and block malicious sql injection attempts. Regular security assessments and code reviews should be conducted to identify similar vulnerabilities throughout the application. Organizations should also consider implementing database activity monitoring to detect unusual query patterns that may indicate exploitation attempts. The vulnerability aligns with CWE-89 which specifically addresses sql injection flaws, and represents a clear violation of ATT&CK technique T1190 for exploiting vulnerabilities in applications. Regular patching and updating of the system should be prioritized to address this known vulnerability and prevent potential exploitation by threat actors.