Progress Kemp LoadMaster Panel Detection Scanner

This scanner detects the use of Progress Kemp LoadMaster Panel in digital assets. It accurately identifies instances of the panel's presence to help manage security risks associated with unauthorized access.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

17 days 23 hours

Scan only one

URL

Toolbox

-

Progress Kemp LoadMaster is a product used by organizations to manage and balance network traffic efficiently. It provides a web-based interface for administrators to configure and monitor their load balancers. The product is generally employed in environments where high availability and reliability of services are critical. Various industries, including telecom, financial services, and healthcare, rely on Kemp LoadMaster for redundancy and scalability. The panel's user-friendly design allows IT personnel to handle complex network setups with ease. Load balancing via Kemp LoadMaster ensures optimal resource utilization and improved application performance.

The vulnerability detected here is the presence of the Progress Kemp LoadMaster login panel. Detecting this panel is crucial because unauthorized access can lead to potentially malicious configuration changes. Misconfigured panels can expose organizations to various security risks, especially if default credentials are used. The login panel, if detected, indicates the need for review and potential security tightening. Detecting such panels helps organizations ensure adequate security measures are in place. Proactively managing access to this critical component is a key aspect of maintaining network integrity.

Technical details of the vulnerability include the detection of a specific HTML title tag in the page source: Kemp Login Screen. This indicates the presence of the login screen that administrators use to access the Kemp LoadMaster Panel. The panel is typically accessible via HTTP on default ports, and the endpoint location might be exposed to the public internet if not properly secured. As this detection relies on simple word matching, it's an essential part of web reconnaissance for administrators focusing on asset management. Timely action on these findings can prevent unauthorized access attempts and potential misconfigurations.

If this vulnerability is exploited, unauthorized entities may gain access to the network configurations, leading to severe consequences. These may include data breaches, redirection of legitimate traffic, or denial-of-service conditions. Attackers can manipulate load balancing settings, potentially redirecting users to phishing sites. Such exposure could further provide a platform for launching targeted attacks against the organization, compromising sensitive information. The impact of such exploitation emphasizes the need for stringent access control measures.

REFERENCES

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