CVE-2014-5348 in Steelapp Traffic Managerinfo

Summary

by MITRE

Cross-site scripting (XSS) vulnerability in apps/zxtm/locallog.cgi in Riverbed Stingray (aka SteelApp) Traffic Manager Virtual Appliance 9.6 patchlevel 9620140312 allows remote attackers to inject arbitrary web script or HTML via the logfile parameter.

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Analysis

by VulDB Data Team • 03/28/2022

The CVE-2014-5348 vulnerability represents a critical cross-site scripting flaw in Riverbed Stingray (also known as SteelApp) Traffic Manager Virtual Appliance version 9.6 with patchlevel 9620140312. This vulnerability specifically affects the applications/zxtm/locallog.cgi component, which serves as a local logging interface within the traffic management appliance. The flaw enables remote attackers to execute malicious web scripts or HTML code through manipulation of the logfile parameter, creating a significant security risk for organizations relying on this network traffic management solution.

The technical exploitation of this vulnerability occurs through the improper handling of user-supplied input within the locallog.cgi script. When the logfile parameter is passed to the application without adequate sanitization or output encoding, malicious payloads can be injected and subsequently executed in the context of other users' browsers who view the affected logging interface. This unvalidated input processing represents a classic XSS vulnerability pattern that aligns with CWE-79, which categorizes cross-site scripting as a weakness where applications fail to properly validate or encode user-controllable data before incorporating it into dynamically generated web content. The vulnerability's classification as a remote attack vector means that threat actors can exploit it from outside the network perimeter without requiring local access or authentication credentials.

The operational impact of this vulnerability extends beyond simple script execution, as it provides attackers with the capability to hijack user sessions, steal sensitive information, manipulate data, or redirect users to malicious websites. In the context of a traffic management appliance like Riverbed Stingray, this vulnerability could be particularly dangerous as it might allow attackers to access network traffic logs, potentially revealing sensitive information about network communications, user activities, or system configurations. The attack could be amplified through social engineering techniques where users might be tricked into clicking on malicious links that exploit this vulnerability, or through automated scanning tools that systematically target known vulnerable applications.

Organizations should implement multiple layers of defense to mitigate this vulnerability, including immediate patching of affected systems to the latest available versions that contain the necessary security fixes. Network segmentation and access controls should be enforced to limit exposure of the vulnerable appliance to untrusted networks. Input validation mechanisms should be strengthened to ensure all user-supplied data is properly sanitized before processing, with particular attention to the logfile parameter and similar input fields. Additionally, web application firewalls can provide an additional detection and prevention layer for suspicious requests targeting the vulnerable endpoint. The remediation efforts should also include security awareness training for administrators to recognize potential exploitation attempts and regular security assessments of network infrastructure components to identify similar vulnerabilities in other systems. This vulnerability demonstrates the importance of maintaining up-to-date security patches and implementing robust input validation practices as recommended in the ATT&CK framework's defense in depth strategy, particularly focusing on the execution and persistence phases where such XSS vulnerabilities can enable further compromise of affected systems.

Reservation

08/19/2014

Disclosure

08/19/2014

Moderation

accepted

Entry

VDB-70669

CPE

ready

EPSS

0.01427

KEV

no

Activities

very low

Sources

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