Kiinitix/Malware-Detection-using-Machine-learning
Anomaly based Malware Detection using Machine Learning (PE and URL)
This project helps cybersecurity professionals protect their systems from advanced threats by identifying suspicious files and web addresses. It takes in characteristics from potentially harmful files (like PE headers) or suspicious URLs and determines if they are malicious, even if they haven't been seen before by traditional antivirus software. Security analysts and IT administrators who need to defend against polymorphic malware and zero-day threats would find this useful.
179 stars. No commits in the last 6 months.
Use this if you need to detect new, evolving malware that traditional signature-based antivirus solutions often miss, or to screen URLs for potential threats.
Not ideal if you're looking for a full, deployable antivirus product rather than a core detection engine.
Stars
179
Forks
57
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 01, 2025
Commits (30d)
0
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