mpasco / MalbehavD-V1
Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing on the area of malware detection. It is suitable for training and testing both machine learning and deep learning algorithms.
☆23Updated last year
Alternatives and similar repositories for MalbehavD-V1:
Users that are interested in MalbehavD-V1 are comparing it to the libraries listed below
- ☆35Updated last year
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆79Updated last year
- A curated dataset of malware and benign Windows executable samples for malware researchers☆44Updated 5 months ago
- Malware Classification using Machine learning☆71Updated 4 months ago
- Dataset with labeled benign and malicious files 🗃️☆113Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- Automatic Malware Signature Generation Tool☆15Updated 3 years ago
- Benign .NET files☆32Updated 7 months ago
- A large-scale database of malicious software images☆47Updated 3 years ago
- malicious PowerShell script detection model☆38Updated 3 years ago
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆25Updated last year
- Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation☆38Updated last year
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- An attempt to detect malware using Opcodes and Hexadecimal Instructions.☆32Updated 3 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆73Updated last year
- ☆31Updated 4 years ago
- MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning☆39Updated last month
- SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create repr…☆111Updated 3 weeks ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆85Updated 9 months ago
- Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"☆28Updated last year
- It's a malware detection API for Windows malware utilizing Artificial Neural network.☆17Updated 8 months ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆19Updated 4 years ago
- AVCLASS++: Yet Another Massive Malware Labeling Tool☆14Updated 5 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆242Updated 3 years ago
- This repository contains relevant samples and data related to the ELF Malware Analysis 101 articles☆43Updated 2 years ago
- A neural approach to malware detection in portable executables☆78Updated 2 years ago
- Defense from the 2020 Microsoft Evasion Competition☆16Updated 3 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆44Updated 2 years ago
- Automated Yara Rule generation using Biclustering☆67Updated 3 years ago
- Multi-class malware classification using Deep Learning☆77Updated 4 years ago