Mayachitra-Inc / MaleX
A curated dataset of malware and benign Windows executable samples for malware researchers
☆44Updated 5 months ago
Alternatives and similar repositories for MaleX:
Users that are interested in MaleX are comparing it to the libraries listed below
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆23Updated 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 large-scale database of malicious software images☆47Updated 3 years ago
- Malware Classification using Machine learning☆71Updated 4 months ago
- malicious PowerShell script detection model☆38Updated 3 years ago
- ☆35Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆35Updated 2 years ago
- Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"☆28Updated last year
- Defense from the 2020 Microsoft Evasion Competition☆16Updated 3 years ago
- Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation☆38Updated last year
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆25Updated last year
- MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning☆39Updated last month
- ☆31Updated 4 years ago
- Dataset with labeled benign and malicious files 🗃️☆113Updated last year
- Malware Bypass Research using Reinforcement Learning☆104Updated 11 months 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
- ☆21Updated 3 years ago
- Benign .NET files☆32Updated 7 months ago
- Multi-class malware classification using Deep Learning☆77Updated 4 years ago
- 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
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆242Updated 3 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆218Updated 2 months ago
- ☆11Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆73Updated last year
- ☆29Updated 2 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆85Updated 9 months ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 4 years ago