Alternatives and similar repositories for Malware-Classification:

Users that are interested in Malware-Classification are comparing it to the libraries listed below

• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆25Updated last year
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 5 months ago
• cyber-research / APTAttribution
  Code for Benchmarking two ML Approaches performing Authorship Attribution
  ☆36Updated 3 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆25Updated 7 years ago
• mpasco / MalbehavD-V1
  Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…
  ☆23Updated last year
• omfaku / cnn-malware-classification
  Classifying malware families by converting their binaries to images and then applying Convolutional Neural Network solutions.
  ☆13Updated 3 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• emr4h / Malware-Detection-Using-Machine-Learning
  This project analyzes PE information of exe files to detect malware. In this repository you will learn how to create your own dataset an…
  ☆12Updated 2 years ago
• avast / avast-ctu-cape-dataset
  ☆36Updated last year
• tomergill / Malware_Classification_Final_Project
  Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machin…
  ☆10Updated 6 years ago
• Mayachitra-Inc / MaleX
  A curated dataset of malware and benign Windows executable samples for malware researchers
  ☆44Updated 6 months ago
• killvxk / avclassplusplus
  AVCLASS++: Yet Another Massive Malware Labeling Tool
  ☆14Updated 5 years ago
• bormaa / Benign-NET
  Benign .NET files
  ☆33Updated 8 months ago
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• toughie88 / malware-detection-machine-learning-approach
  python program to detect Portable_Executable files as either malicious or legitimate by trying out 5 different classification algorithms …
  ☆11Updated 8 years ago
• cmikke97 / Automatic-Malware-Signature-Generation
  Automatic Malware Signature Generation Tool
  ☆16Updated 3 years ago
• ocatak / malware_api_class
  Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…
  ☆240Updated 3 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated 2 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated 2 years ago
• safreita1 / malnet-image
  A large-scale database of malicious software images
  ☆47Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆29Updated 2 years ago
• cylance / PyPackerDetect
  A malware dataset curation tool which helps identify packed samples.
  ☆32Updated 6 years ago
• xvshiting / MFC-CNN
  A malware family classification model based on CNN
  ☆25Updated 2 years ago
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆69Updated 2 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 6 years ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆28Updated 3 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆53Updated 9 months ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆116Updated last year
• ylhao / malware-detection-based-on-cnn
  基于卷积神经网络的恶意软件检测方法
  ☆50Updated 5 years ago
• obarrera / Machine-Learning-Malware-Detection
  Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.
  ☆40Updated 4 years ago