Kunal-Attri/Malware-Detection-ML-Model
This is a Malware Detection ML model made using Random Forest Algorithm
This tool helps cybersecurity professionals quickly assess if a software file is likely malicious. You provide a suspicious executable file, and it uses machine learning to determine if it's a probable malware based on its characteristics. It's designed for security analysts, incident responders, or IT administrators who need a fast, preliminary scan.
No commits in the last 6 months.
Use this if you need a quick, initial assessment of an unknown executable file to see if it might be malware, either through a command-line interface or a simple web application.
Not ideal if you require deep behavioral analysis, sandbox detonation, or a certified, comprehensive enterprise-grade anti-malware solution.
Stars
39
Forks
26
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 20, 2024
Commits (30d)
0
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