DGA Domain Detection using Bigram Frequency Analysis
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Updated
Sep 9, 2017 - Python
DGA Domain Detection using Bigram Frequency Analysis
DGA-generated domain detection using deep learning models
Deep Learning for Domain Name System
Phishing attack identification tool - Performs email risk evaluations relying on different black lists, machine learning techniques, and OSINT third party services, without depending on user knowledge or awareness
Detection of malicious domain names using machine learning and deep learning models
🔍 Application for detecting command and control (C2) communication through network traffic analysis.
Identify synthetic domain names using Random Forrest Classifier
System for evaluating risks of internet domains
基于 LSTM 的 DGA(Domain Generation Algorithms)域名分类,TensorFlow + PyTorch 版本
Machine Learning Algrithms in python 、DGA detection
MONDEO - Multistage Botnet detection tool
Reference models and benchmarks for DGA generation and detection
Pytorch implementations of DGA Classifiers using Deep Learning
Detect domains generated by Domain Generation Algorithms (DGA)
RAMPAGE is a framework aimed at training and comparing machine learning models for the detection of Algorithmically Generated Domains.
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