KevinLAB Devices Detection Scanner
This scanner detects the use of KevinLAB Devices in digital assets. It helps identify the implementation of KevinLAB's BEMS technology in building management systems.
Short Info
Level
Informational
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
22 days 6 hours
Scan only one
URL
Toolbox
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KevinLAB Devices are used in the field of energy management, specifically designed to optimize energy consumption in buildings through intelligent analysis and supervision of energy usage and facilities. They are primarily utilized by building managers, energy analysts, and sustainability professionals to enhance the efficiency and control of energy resources. With IoT, Big Data, and AI technologies, KevinLAB provides an advanced platform for monitoring and managing building energy consumption, aiming to reduce energy costs and carbon footprints. The software is integral in smart buildings where automated systems control heating, cooling, ventilation, and lighting to create sustainable energy solutions. KevinLAB’s solutions offer significant improvements in energy tracking and management tailored for commercial and industrial facilities.
The vulnerability detected is a technology detection that allows identifying the presence and setup of KevinLAB Devices in a given digital environment. This type of detection focuses on recognizing the use of specific features and endpoints associated with the technology employed in managing energy systems. By detecting the presence of KevinLAB’s technology, potential misconfigurations and security mismanagement in the system can be highlighted. Technology detection serves as an essential step in understanding the landscape of devices deployed and can aid in risk assessment and management. Such detection is vital to ensure that the technology is being implemented and managed with the necessary security protocols.
The technical details of this vulnerability lie in the mechanisms by which the software's presence is determined, particularly through HTTP GET requests. The detection targets specific endpoints, such as "/pages/" and "/dashboard/", to identify indicative elements of KevinLAB’s BEMS and HEMS systems. The vulnerability is characterized by keywords found within the body of the responses, signaling the presence of the management systems. This detection points out typical structures and patterns within the web interface that deliver insights into the technology's deployment. Additionally, monitoring the response for specific titles and paths helps determine the existence and potential exposure of these devices.
When exploited, this vulnerability check can lead to a more comprehensive understanding of the digital infrastructure of a building, potentially exposing weaknesses in how KevinLAB’s technology is implemented. If information about the technology's presence falls into the hands of malicious actors, they could use this data to uncover further vulnerabilities or misconfigurations. It might also give competitors insights into the proprietary technology and configurations being used within a facility, creating security and intellectual property risks. An accurate detection serves to mitigate risks by informing stakeholders of where and how their technology is positioned within their operational environments.
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