Malware analysis environment with the use of Elastic Stack
Author
Term
4. semester
Education
Publication year
2024
Submitted on
2024-05-30
Pages
56
Abstract
As malware evasion and obfuscation techniques become more powerful, sandboxing, the current workhorse for dynamic malware analysis, becomes time-consuming when confronted with specific malware. In this thesis, we discuss an alternative approach to dynamic malware analysis that is different from sandboxing, i.e., using Elastic Stack to perform dynamic analysis. This is done by installing and running Elasticsearch, Kibana and integrations, then running real malwares to collect data, and finally using a graphical interface to perform in-depth analysis of the malware's behaviour. This thesis finally summarises some methods as well as examples for determining malware behaviour and more importantly describes the detailed steps for analysis using Elastic Stack.
Keywords
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