CVE-2024-44759 in ERP Management Software
Summary
by MITRE • 11/15/2024
An arbitrary file download vulnerability in the component /Doc/DownloadFile of NUS-M9 ERP Management Software v3.0.0 allows attackers to download arbitrary files and access sensitive information via a crafted interface request.
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Analysis
by VulDB Data Team • 12/03/2024
The CVE-2024-44759 vulnerability represents a critical arbitrary file download flaw within the NUS-M9 ERP Management Software version 3.0.0, specifically affecting the /Doc/DownloadFile component. This vulnerability stems from insufficient input validation and access control mechanisms that fail to properly sanitize user-supplied parameters before processing file download requests. The flaw exists in the software's document management interface where attackers can manipulate the file path parameter to traverse the file system and retrieve unauthorized files. Such vulnerabilities typically arise from poor implementation of file access controls and inadequate sanitization of user inputs, creating an attack surface where malicious actors can bypass normal access restrictions. The vulnerability falls under CWE-22, which categorizes improper limitation of a pathname to a restricted directory, commonly known as path traversal or directory traversal attacks. This classification indicates that the software fails to properly validate and restrict file paths, allowing attackers to navigate beyond intended directories and access sensitive system files. The attack vector involves sending a specially crafted HTTP request to the vulnerable endpoint, where the application processes the request without adequate validation, potentially leading to unauthorized file access. The operational impact of this vulnerability extends beyond simple information disclosure, as attackers could potentially access configuration files, database credentials, application source code, or other sensitive data that could facilitate further exploitation. This type of vulnerability is particularly dangerous in enterprise environments where ERP systems contain vast amounts of sensitive business data, financial records, and proprietary information. The vulnerability aligns with ATT&CK technique T1213.002, which covers data from information repositories, specifically targeting the extraction of sensitive data through improper access controls. The software's failure to implement proper access controls and input validation creates a direct pathway for attackers to exploit the system's file handling capabilities. The implications for organizations using this ERP software are severe, as successful exploitation could lead to complete system compromise, data breaches, and potential regulatory violations. Attackers could leverage this vulnerability to gain unauthorized access to critical business information, potentially leading to financial fraud, intellectual property theft, or compliance violations. The vulnerability demonstrates a fundamental weakness in the software's security architecture where file access controls are not properly enforced at the application layer. Organizations should consider this vulnerability as part of a broader security posture assessment, particularly when evaluating the security of enterprise resource planning systems that handle sensitive organizational data. The risk is compounded by the fact that ERP systems often contain interconnected data repositories where access to one file could potentially lead to access to other sensitive components within the system. Mitigation strategies should include immediate patching of the affected software version, implementation of proper input validation and sanitization measures, enforcement of strict access controls, and regular security assessments of enterprise applications. Additionally, organizations should consider network segmentation and monitoring of file access patterns to detect potential exploitation attempts. The vulnerability highlights the importance of secure coding practices and proper security testing during software development lifecycle, particularly for applications handling sensitive data in enterprise environments.