This dissertation was written as a part of the MSc in Cybersecurity at the International Hellenic University. Here goes a summary of the dissertation. This dissertation presents an extensive overview of the malware analysis world by the time of writing. Specifically, questions of what is the current of cybercrime and where malware stands are answered in the beginning. Then the objectives of malware analysis are enumerated, its characteristics presented and base definition are explained (e.g. analysis, detection, classification). General classic approaches (static and dynamic analysis) are unfolded and their strengths and weaknesses are discussed. Threats are reviewed and their characteristics are analyzed (malware types, APTs, malware self- preservation/protection mechanisms). Emerging and established modern approaches in analysis and complementary procedures like automated analysis, memory analysis or hybrid analysis, are presented. Also, the emerging applications of machine learning in malware analysis are reviewed. Then the focus of the dissertation is cast upon the presentation and details unfolding of the structured malware analysis methodologies (MARE, SAMA). The modern SAMA methodology in implemented and at the same time it is compared to the existing MARE methodology. The dissertation closes with conclusions and notes on the state of modern malware analysis based on the topics discussed.
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