surajr/Machine-Learning-approach-for-Malware-Detection
A Machine Learning approach for classifying a file as Malicious or Legitimate
This tool helps cybersecurity professionals quickly determine if a software file is malicious or legitimate. You provide a suspicious file, and it uses multiple machine learning models to analyze its characteristics and output a classification. It's designed for security analysts or IT administrators who need to screen executables.
No commits in the last 6 months.
Use this if you need an automated way to classify unknown executable files as either safe or potentially dangerous.
Not ideal if you require deep, human-driven reverse engineering or sandbox analysis of complex malware behaviors.
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Jupyter Notebook
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Last pushed
Oct 10, 2016
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