Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware

Malicious software is what the term "malware" refers to. Malware is any type of software or document that compromises the security of a computer’s operating system, data, or both. These malicious applications are built to carry out a wide range of actions, including monitoring user activities on the computer without their consent, stealing, encrypting, deleting sensitive data, and altering key operating system computational capabilities. Trojan Horses, Ransomware, Spyware, Worms, and Viruses are the most frequently available types of malware that attackers utilize to harm the target machines. Using various static and dynamic analysis tools, malware analysis is the process of aggregating metadata about the malware, such as its behavior, signatures, etc. In this study, we’ve put forth a method that combines statically and dynamically analyzing malware files using a Python-based model. Generally, a variety of tools are utilized to analyze specific types of malware. This method analyses the numerous static and dynamic aspects of practically all varieties of malware in order to make it convenient