0xfke/Malware-Detection-and-Analysis-using-Machine-Learning
Malware🦠Detection and Analysis using Machine Learning (MDAML) is designed to provide users with an intuitive interface for analyzing and detecting malware in various file formats.
This tool helps cybersecurity analysts and IT security professionals quickly assess files, URLs, and executables for malware. You provide a suspicious file (like an EXE or DLL), a URL, or a file hash, and it uses external threat intelligence and machine learning to determine if it's malicious. The output is a clear report indicating whether a threat is detected and why.
Use this if you need an easy-to-use platform to get immediate threat intelligence on suspicious files, URLs, or executable programs.
Not ideal if you need to analyze highly proprietary or sensitive files offline without using external APIs or if you require deep, manual reverse engineering capabilities.
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42
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17
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 04, 2026
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