CVE-2022-4286 in Runtime
Summary
by MITRE • 02/14/2023
A reflected cross-site scripting (XSS) vulnerability exists in System Diagnostics Manager of B&R Automation Runtime versions >=3.00 and <=C4.93 that enables a remote attacker to execute arbitrary JavaScript in the context of the users browser session.
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Analysis
by VulDB Data Team • 02/14/2023
The vulnerability identified as CVE-2022-4286 represents a critical reflected cross-site scripting flaw within the System Diagnostics Manager component of B&R Automation Runtime software. This security weakness affects versions ranging from 3.00 through C4.93, creating a significant attack surface for remote threat actors who can leverage this vulnerability to inject malicious JavaScript code into user browser sessions. The reflected nature of this XSS vulnerability means that the malicious payload is reflected off the web server back to the victim's browser, typically through manipulated input parameters in HTTP requests. This type of vulnerability falls under CWE-79 which specifically addresses cross-site scripting flaws where untrusted data is directly output to web pages without proper validation or encoding.
The technical implementation of this vulnerability stems from inadequate input validation and output sanitization within the System Diagnostics Manager interface. When users interact with the diagnostic tools and provide input parameters that are not properly filtered or encoded, the application fails to sanitize these inputs before returning them to the user's browser. This allows attackers to craft malicious URLs containing JavaScript payloads that, when clicked by an unsuspecting user, execute within the context of the user's session with the affected application. The attack vector typically involves sending a specially crafted link to victims through phishing emails, social engineering campaigns, or by compromising web applications that may be accessed by users with elevated privileges within the automation environment.
The operational impact of CVE-2022-4286 extends beyond simple script execution, as it can enable attackers to perform a wide range of malicious activities within the user's browser session. Threat actors can leverage this vulnerability to steal session cookies, redirect users to malicious websites, deface web interfaces, or even perform actions on behalf of authenticated users. In industrial automation environments where B&R Automation Runtime systems are deployed, this vulnerability poses additional risks as attackers could potentially gain access to sensitive operational data, manipulate diagnostic information, or disrupt critical automation processes. The vulnerability's remote exploitability means that attackers do not require physical access to the system or network, making it particularly dangerous in environments where network segmentation may not be robust. This weakness aligns with ATT&CK technique T1566 which covers social engineering tactics, and T1059 which covers command and scripting interpreters, as the reflected XSS can be used to execute malicious scripts and establish persistent access patterns.
Organizations should implement immediate mitigations including applying the latest security patches provided by B&R Automation, implementing proper input validation and output encoding mechanisms, and deploying web application firewalls to detect and prevent malicious requests. Network segmentation and access controls should be enhanced to limit exposure of the affected systems, while user education programs should be strengthened to prevent successful social engineering attacks. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities within the automation infrastructure, and incident response procedures should be updated to address potential exploitation attempts. The vulnerability demonstrates the critical importance of secure coding practices and input validation in industrial control systems where the consequences of successful exploitation can extend beyond traditional information technology concerns into operational technology environments.