A simple yet accurate machine learning model to detect the DGA (Domain Generational Algorithm).

Final Project on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). The idea is to tell DGA-generated and non-DGA-generated domains apart using a combination of linguistic features by transforming raw domain strings to ML features.

Research and train models for the DGA anomaly detection

Detect domains generated by Domain Generation Algorithms (DGA)

Step-by-step guide on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). This is based on Sidi Trainings (November 18th, 2020) presented by GTK Cyber.

Generate csv file containing every domain registered on specified date/date range

Web API for detecting DGA domains.

Software de análise de visualização de dados para manutenção de subestação elétrica

Reference models and benchmarks for DGA generation and detection

RAMPAGE is a framework aimed at training and comparing machine learning models for the detection of Algorithmically Generated Domains.

Golang DGA generator and bloom filter builder

Pytorch implementations of DGA Classifiers using Deep Learning

Detect DGA domains via deep learning networks.

Domain Generation Algorithms research papers, datasets and code

MONDEO - Multistage Botnet detection tool

🔍 Application for detecting command and control (C2) communication through network traffic analysis.

Machine Learning Algrithms in python 、DGA detection

Check if a domain has been created using a Domain Generation Algorithm. Usefull to discover malware and trackers.