This project creates, and uses, a model for vulnerability detection in javascript files.

1. Install python3 from https://www.python.org/downloads/
2. Inside this directory, run pip install -r requirements.txt, this will download all python dependencies to your machine
3. Inside this directory, run python3 train_model.py, the program will train the model, and then display the different graphs explained in the project.
4. The output is saved in the models folder

1. Install docker from https://www.docker.com/products/docker-desktop
2. Inside the project, run docker build . -t project to build the docker image for this project
3. Execute docker run -p 3000:3000 project, this will allow you to access the static analysis server via localhost:3000
4. Inside the project, run python3 test-sample.py, this will send the code inside sample-js-function.js and evaluate it using the model, returning the prediction for this file.