Unmasking the Threat: Exploring Effective Techniques for Investigating ATM Malware Through Digital Forensic Analyses

Abstract

Hackers have developed new techniques to directly breach a system or device, responding to the surge in numerous cybercrimes. Criminals frequently attack automated teller machines (ATMs) because of the vulnerabilities they present. ATM security must monitor and investigate these attacks because ATMs may contain and manage enormous sums of cash, making them good targets for hackers. Because of this, ATM security needs to monitor and investigate these assaults. Because automated teller machines may hold and handle significant quantities of money, the security at ATMs needs to monitor and analyze assaults of this kind. In the present study, using Studio to analyze ATM malware is essential to identifying malware signatures and behaviours that can improve ATM security. Banks and ATM manufacturers must implement specific measures to prevent ATM malware attacks. Based on present research on ATM malware analysis, researchers have uncovered critical insights that are highly beneficial for those seeking to investigate Malware aimed at breaching automated teller machines (ATMs). It is an invaluable tool for conducting such investigations. This paper will serve as a means of sharing insightful findings and aiding others in deepening their understanding of this crucial topic.