Bomgar Panel Detection Scanner
This scanner detects the use of Bomgar Login Panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
26 days 3 hours
Scan only one
URL
Toolbox
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The Bomgar Login Panel is a component of BeyondTrust Remote Support, a security software solution used by IT professionals and support teams to provide remote support and access to client systems. It is used in corporate environments to manage and secure remote desktop access and is well-known for its robust security features. The software provides capabilities to support users and address issues remotely, thus facilitating remote help desk operations. Organizations worldwide use Bomgar for secure access to devices and systems, allowing them to offer remote support services efficiently. With features like session recording and secure collaboration, it is designed to meet industry compliance standards. The Bomgar Login Panel serves as the gateway to these remote support functionalities.
The vulnerability assessed in the Bomgar Login Panel is not a direct flaw but rather a detection of its presence, which can be a concern under certain circumstances. While detecting the existence of a login panel itself does not pose an immediate risk, it can be indexed by attackers who map exposed systems and test them for potential exploitation. Being able to identify this panel can lead to further probing for configuration issues, default credentials, or vulnerabilities in the system. Thus, detecting the presence of this panel is essential for attempting to reduce the exposure of sensitive login portals. The detection serves as a cautionary step for companies to ensure protective measures are in place for the panels.
The technical aspect of the vulnerability detection involves identifying the presence of Bomgar's specific resources and endpoints. This is determined by looking at specific accessible paths such as "/favicon.ico" and "/appliance/login.ns", as well as the response body containing the term 'bomgar'. The detection uses certain methods like checking HTTP status codes and using fuzzy hash matching to confirm the presence of the login panel. The aim is to ascertain whether these specific indicators are present in the response from the server, aligning with known characteristics of the Bomgar Login Panel.
Exploitation of this detection, if left unattended, allows for reconnaissance by malicious entities who may attempt unauthorized access to the system via brute force or exploiting known vulnerabilities. This could lead to potential breaches where attackers gain unauthorized access to sensitive data or control of systems. It underscores the need for securing login panels with robust authentication mechanisms, regular updates, and monitoring for unusual access patterns. This preemptive detection serves as a reminder of potential entry points for attackers.
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