czs108/Microsoft-Malware-Classification
🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Windows PE structures, disassembly scripts and machine code.（“2015微软恶意软件分类挑战赛” - 使用机器学习基于Windows PE结构、反汇编和机器代码对恶意软件进行分类。）
This tool helps security analysts quickly identify the family of a suspicious executable file, like a virus or trojan. It takes raw executable files (PE structures, disassembly, machine code) and outputs the most likely malware family, along with probability scores. Cyber threat intelligence analysts, incident responders, and malware researchers would use this.
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Use this if you need to rapidly classify unknown Windows executable files into known malware families based on static analysis.
Not ideal if you need to detect entirely new, unknown malware types or analyze dynamic behavior of malware.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 13, 2024
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