The Malware as a Service ecosystem

• URL: http://arxiv.org/abs/2405.04109v1
• Date: Tue, 7 May 2024 08:25:12 GMT
• Title: The Malware as a Service ecosystem
• Authors: Constantinos Patsakis, David Arroyo, Fran Casino,
• Abstract summary: The study emphasises the profound challenges MaaS poses to traditional cybersecurity defences. There is a call for a paradigm shift in defensive strategies, advocating for dynamic analysis, behavioural detection, and the integration of AI and machine learning techniques. The ultimate goal is to aid in developing more effective strategies for combating the spread of commoditised malware threats.
• Score: 5.973995274784383
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: The goal of this chapter is to illuminate the operational frameworks, key actors, and significant cybersecurity implications of the Malware as a Service (MaaS) ecosystem. Highlighting the transformation of malware proliferation into a service-oriented model, the chapter discusses how MaaS democratises access to sophisticated cyberattack capabilities, enabling even those with minimal technical knowledge to execute catastrophic cyberattacks. The discussion extends to the roles within the MaaS ecosystem, including malware developers, affiliates, initial access brokers, and the essential infrastructure providers that support these nefarious activities. The study emphasises the profound challenges MaaS poses to traditional cybersecurity defences, rendered ineffective against the constantly evolving and highly adaptable threats generated by MaaS platforms. With the increase in malware sophistication, there is a parallel call for a paradigm shift in defensive strategies, advocating for dynamic analysis, behavioural detection, and the integration of AI and machine learning techniques. By exploring the intricacies of the MaaS ecosystem, including the economic motivations driving its growth and the blurred lines between legitimate service models and cyber crime, the chapter presents a comprehensive overview intended to foster a deeper understanding among researchers and cybersecurity professionals. The ultimate goal is to aid in developing more effective strategies for combating the spread of commoditised malware threats and safeguarding against the increasing accessibility and scalability of cyberattacks facilitated by the MaaS model.

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