Malware Classification using Machine learning

Malware Detection using Machine Learning (MDML)

A large-scale database of malicious software images

Detecting malicious URLs using an autoencoder neural network

Official implementation for the paper "On deceiving malware classification with section injection"

Malware Classification and Labelling using Deep Neural Networks

Popular Malware-Samples for research and educational purposes.(60+ Samples!)

Training Vision Transformers from Scratch for Malware Classification

Few-Shot malware classification using fused features of static analysis and dynamic analysis （基于静态+动态分析的混合特征的小样本恶意代码分类框架）

Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)

FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.

👾 Malware Classification using Deep Learning and Cuckoo Sandbox

android-malware-classification using machine learning algorithms

Datawhale&科大讯飞2021A.I.开发者大赛恶意软件分类CV/NLP/表格三个方向的建模思路+伪标签LGB（rank11）

This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).

Malware detector and classifier based on static analysis of PE executables

Malware Byteplot Image Classification using Machine Learning and Deep Learning

PyTorch dataset loader for image, text, malware, and medical classification datasets

Malware Classification using the dataset provided by Microsoft

in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost