CVE-2010-2043 in DataTrack System
Summary
by MITRE
Cross-site scripting (XSS) vulnerability in Home.aspx in DataTrack System 3.5 and 3.5.8019.4 allows remote attackers to inject arbitrary web script or HTML via the Work_Order_Summary parameter (aka the request summary). NOTE: some of these details are obtained from third party information.
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Analysis
by VulDB Data Team • 12/31/2017
The vulnerability identified as CVE-2010-2043 represents a classic cross-site scripting flaw within the DataTrack System version 3.5 and 3.5.8019.4, specifically affecting the Home.aspx page. This issue manifests when the application fails to properly sanitize user input received through the Work_Order_Summary parameter, which is alternatively referred to as the request summary. The flaw exists in the web application's input validation mechanisms, creating an avenue for malicious actors to execute arbitrary web scripts or HTML code within the context of other users' browsers. The vulnerability stems from the application's insufficient filtering of user-supplied data before rendering it in web responses, which directly aligns with CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting').
The technical exploitation of this vulnerability occurs when an attacker crafts a malicious payload containing script code and submits it through the Work_Order_Summary parameter. When the vulnerable application processes this input and displays it without proper sanitization or encoding, the embedded script executes in the victim's browser session. This allows attackers to perform various malicious activities including session hijacking, credential theft, defacement of web pages, or redirection to malicious sites. The impact is particularly concerning as it enables attackers to impersonate legitimate users and potentially gain unauthorized access to sensitive data or system functionalities within the DataTrack environment.
The operational implications of this vulnerability extend beyond simple script injection, as it can be leveraged for more sophisticated attacks within the context of the targeted application. Attackers can exploit this flaw to establish persistent access patterns, manipulate user interfaces, or even escalate privileges if the application lacks proper access controls. The vulnerability affects the integrity and confidentiality of the web application's user interactions, potentially compromising the entire DataTrack system's security posture. This issue demonstrates a fundamental weakness in the application's security architecture and highlights the critical importance of implementing robust input validation and output encoding mechanisms. The vulnerability can be categorized under ATT&CK technique T1059.007 - Command and Scripting Interpreter: JavaScript, as it enables JavaScript-based attacks through web application interfaces. Organizations utilizing this system face significant risks including unauthorized data access, system compromise, and potential regulatory compliance violations due to the exposure of user sessions and potentially sensitive operational data.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application's data flow. The most effective approach involves sanitizing all user-supplied input, particularly parameters like Work_Order_Summary, before processing or displaying them within web pages. Implementing proper HTML encoding of output data, utilizing secure coding practices, and deploying web application firewalls can significantly reduce the risk of exploitation. Additionally, regular security assessments, code reviews focusing on input handling, and maintaining updated security patches are essential preventive measures. Organizations should also consider implementing Content Security Policy headers to limit script execution contexts and establish proper access controls to minimize potential damage from successful exploitation attempts. The vulnerability underscores the necessity of adhering to secure coding standards and performing regular security testing to identify and remediate similar weaknesses in web applications.