This repository contains the source code of Detecting malicious URLs using an autoencoder neural network. An article describing how it works is available at https://www.linkedin.com/pulse/anomaly-detection-autoencoder-neural-network-applied-urls-daboubi/

• Python 3.9
• x64 CPU
• Tensorflow-compatible NVIDIA GPU

pip3 install -r requirements.txt

python merge_url_data.py

python enrich_urls_data.py

python train_and_test_urls_autoencoder.py

To put in place a REST API

• https://www.kaggle.com/datasets/antonyj453/urldataset
• https://www.kaggle.com/datasets/dfydata/the-online-plain-text-english-dictionary-opted
• https://github.com/elliotwutingfeng/Inversion-DNSBL-Blocklists