Malware Classification using Machine learning

A large-scale database of malicious software images

Detecting malicious URLs using an autoencoder neural network

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）

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

This tool clusters malware samples and extracts core shared artefacts by combining static analysis, optional dynamic analysis, and progressive comparison inside each cluster.

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

Marmara Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği bölümünde sunulan “DERİN SİNİR AĞLARI İLE FEDERE ÖĞRENME TABANLI BİR KÖTÜ AMAÇLI YAZILIM TESPİT UYGULAMASI” başlıklı tez çalışmasına ait kaynak kodlarıdır.

HGConv: Holographic Global Convolutional Networks

Malware detector and classifier based on static analysis of PE executables

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

A malware image dataset based on dynamic analysis and a classification model based on capsule network.

Implementation of backdoor attacks and defenses in malware classification using machine learning models.

Malware Behavioral Genome Analyzer: behavioral DNA fingerprinting, family classification, genome mapping, and cross-sample comparison

ML pipeline for malware detection & family classification — CNN classifier + EfficientNet-B1 detector

Visual malware classification with adversarial robustness, explainable AI, and LLM-powered threat reporting.

2,899 real-world malware families categorized for security teams & incident response. Schema.org-ready dataset derived from EMBER 2018 with FAQ, MITRE ATT&CK, CISA advisory cross-refs, and per-family profiles. Apache-2.0 licensed.