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Large scale Malware analysis
Author(s) -
Giovanni Bertão,
Paulo Lício de Geus
Publication year - 2019
Publication title -
revista dos trabalhos de iniciação científica da unicamp
Language(s) - English
Resource type - Journals
ISSN - 2596-1969
DOI - 10.20396/revpibic262018543
Subject(s) - malware , computer science , malware analysis , computer security , data science , scale (ratio) , sample (material) , chemistry , physics , chromatography , quantum mechanics
Malware overview reports are valuable information to understand threats behavior and develop proper countermeasures. Currently, most of these studies are focused on either fine-grained, individual sample analysis or coarse-grained landscapes. On the one hand, only the first allows professionals to handle specific security breaches. On the other hand, only the second allows understanding threat scenario as a whole. We claim that a complete security treatment is only possible when combining both approaches. Therefore, this work presents an analysis of a large malware dataset, showing the distinctions between coarse-grained and fine-grained analysis results. It presents both a general threat scenario based on coarse-grained results as well as it details fine-grained results to identify particular malicious constructions to anticipate incident response of future threats.

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