CVE-2022-44029 in nGeniusONE
Summary
by MITRE • 01/27/2023
An issue was discovered in NetScout nGeniusONE 6.3.2 before P10. It allows Reflected Cross-Site Scripting (XSS), issue 6 of 6.
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Analysis
by VulDB Data Team • 03/28/2025
The vulnerability identified as CVE-2022-44029 represents a critical reflected cross-site scripting flaw within NetScout nGeniusONE version 6.3.2 prior to patch level P10. This security weakness resides in the network monitoring and analysis platform that organizations rely upon to maintain visibility into their network infrastructure. The vulnerability specifically manifests as a reflected XSS issue, which occurs when malicious input is immediately reflected back to users without proper sanitization or encoding. This particular vulnerability is classified as issue number 6 out of 6 within the broader context of the security assessment, indicating it is part of a larger set of vulnerabilities affecting the same product version. The reflected nature of this XSS vulnerability means that an attacker can craft malicious URLs containing script payloads that, when executed by unsuspecting users, can compromise their browser sessions and potentially lead to unauthorized access to network monitoring data.
The technical implementation of this vulnerability stems from inadequate input validation and output encoding mechanisms within the nGeniusONE web interface. When users interact with the application through web browsers, the system fails to properly sanitize user-supplied parameters before incorporating them into dynamic web responses. This allows malicious actors to inject arbitrary JavaScript code through parameters such as URL query strings, form fields, or HTTP headers. The reflected nature means that the malicious script is not stored on the server but rather passed through the application to the user's browser, where it executes in the context of the victim's session. This type of vulnerability directly maps to CWE-79, which defines Cross-Site Scripting as a condition where a web application fails to properly validate or encode user-controllable data that is then reflected back to the user.
The operational impact of this vulnerability extends beyond simple data theft or session hijacking. Organizations utilizing NetScout nGeniusONE for network monitoring and security operations are at risk of having their monitoring capabilities compromised. Attackers could potentially inject scripts that modify the user interface, redirect users to malicious sites, or even execute commands that could escalate privileges within the application. The severity of this vulnerability is particularly concerning given that nGeniusONE is designed for enterprise network monitoring, where users often have elevated privileges and access to sensitive network data. The reflected nature of the XSS also means that these attacks can be delivered through phishing emails, malicious links shared in collaboration tools, or even through compromised network traffic that users might inadvertently click on while investigating network issues. This vulnerability aligns with ATT&CK technique T1566.001, which covers the use of spearphishing with links, making it a significant threat vector for organizations relying on this network monitoring platform.
Organizations affected by CVE-2022-44029 should immediately implement mitigations including applying the patch level P10 or higher provided by NetScout to address this vulnerability. Network administrators should also consider implementing additional security controls such as web application firewalls that can detect and block malicious script payloads before they reach end users. Input validation should be strengthened at all entry points to ensure that user-supplied data is properly sanitized before being processed or reflected back to users. Security teams should also conduct regular security assessments of web applications and implement proper output encoding mechanisms to prevent the execution of malicious scripts. The vulnerability's classification as a reflected XSS issue makes it particularly susceptible to automated exploitation, so organizations should monitor network traffic for suspicious patterns and implement proper logging and alerting mechanisms to detect potential exploitation attempts. Additionally, user education regarding the dangers of clicking on untrusted links and the importance of verifying URLs before interacting with network monitoring applications remains crucial in defending against this type of attack vector.