Domain Checker 🌐

✔️ Description 📑

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The aim of this project is to build a machine leraning classifier web app which can help us detect a potential machines infected by the DGA (Domain Generation Algorithm) malware. Typically machines that are infected tend to generate a bunch of random domain names which will contain one active C&C server.

This application guides users on detecting potential DGA (Domain Generation Algorithm) generated malware domains to avoid maleware attack also other numerous purposes including educational purposes.

✔️ Libraries and tools 🛠️

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✔️ Tech stack

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* Python 
* flask
* Numpy
* Matplotlib
* Seaborn
* Pandas 
* Scikit-learn
* nltk
* Joblib
* Docker 
* AWS

✔️ Deployment 🚀

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This app was containerized with the docker contrainer and the app image was pushed to docker hub and deployed on AWS

Link to Domain Checker web app : Domain checker app

Link to Domain Checker docker image : Domain checker app image

✔️ Project Organization 📌

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DOMAIN CHECKER
.
├── app.py
├── config.py
├── dataset
│   └── dga_data.csv
├── model_build_binary_class.ipynb
├── models
│   ├── trained_rf_dga_classifier.sav
│   └── Xtrain.pkl
├── __pycache__
│   ├── config.cpython-310.pyc
│   └── utils.cpython-310.pyc
├── README.md
├── static
│   ├── css
│   │   └── main.css
│   └── hero_img.svg
├── sub_class_model.ipynb
├── templates
│   ├── index.html
│   └── predict.html
└── utils.py