Current state-of-the-art research focus on the development and application of machine learning techniques for malware detection due to its ability to keep pace with malware evolution. The struggle between security analysts and malware developers is a never-ending battle with the complexity of malware changing as quickly as innovation grows. The proposed methodology is tested by a specific Linux malware, and the obtained test results have high effectiveness in malware detection. In order to address all mentioned challenges, this article proposed a methodology for malware analysis in the Linux operating system, which is a traditionally overlooked field compared to the other operating systems. Additionally, a deep malware comprehension can yield a faster and much more efficient malware eradication. A systematic analysis process makes the difference between good and ordinary malware analyses.

To address all these new challenges, it is necessary to develop a methodology that can standardize the required steps to perform the malware analysis in depth. However, there has not been much literature concerning Linux security and protection from malware. As a result, hundreds of research articles, documents, and methodologies dedicated to malware analysis have been reported. Windows is the most employed OS, so most of the research efforts have been focused on its malware protection rather than on other operating systems. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices.

In recent years, malware has evolved, and attackers have become more qualified compared to a few years ago. In a computer environment, an operating system is prone to malware, and even the Linux operating system is not an exception.

Pestudio malware analysis