PowerLZY/MalConv-Pytorch
基于深度学习的恶意软件检测研究；MalConv;
This project provides a deep learning system for identifying malicious software by directly analyzing raw executable files. It takes an executable file (like a .exe) as input and determines whether it is benign or malicious, even for very large files. Security analysts and researchers can use this to automatically classify unknown programs and understand why a program is flagged as malicious.
118 stars. No commits in the last 6 months.
Use this if you need an automated, explainable system for detecting malware from raw binary files, without needing extensive pre-processing or expert feature engineering.
Not ideal if you primarily need to detect known malware signatures or if your focus is on network-based threat detection rather than file-based analysis.
Stars
118
Forks
19
Language
Python
License
MIT
Category
Last pushed
Jun 22, 2022
Commits (30d)
0
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