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Malware Analysis and Machine Learning Project by Gilian kipkosgei is a document available to read on EtoBox.

The document provides instructions for a malware analysis project involving analyzing malware samples using JoeSandbox and applying machine learning concepts with Malheur. The project has two phases: Phase 1 involves analyzing behaviors of 5 malware samples using JoeSandbox reports to identify behaviors like disabling security protections, modifying registry keys, and dropping files. Phase 2 teaches machine learning clustering with Malheur by clustering a malware dataset to classify samples based on beh

Author
Gilian kipkosgei
Language
EN