THE RECOGNIZE OF MALWARE CHARACTERISTICS THROUGH STATIC AND DYNAMIC ANALYSIS APPROACH AS AN EFFORT TO PREVENT CYBERCRIME ACTIVITIES

A lot of Malware used to carry and conceal the crime even included as a crime toolskit. This is forcing digital forensics investigators to perform malware forensics activities, namely to identify and analyze unknown malware before. Knowing the characteristics of malware will be one of the solutions from the prevention of cybercrime activity. One method that can be used is the combination of static and dynamic analysis to get a complete information about malware characteristics. In this study both the method used to analyze malware TT.exe, as well as handling solutions. The results obtained show that the use of both of these methods can provide a complete information about the characteristics of malware TT .exe. This research also has given a solution that can be done to prevent the spread of malware TT .exe