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Run with Docker

The first step is to download and install Docker. Follow the installation procedure recommended at docker.com, or, if you are using Linux, refer to your distribution for information on the installation process.

Once installed, make sure Docker works by typing docker info in a shell.

Running with our precompiled image

We recommend that you use our precompiled image to run the fuzzingbook locally. Our precompiled image is available in the DockerHub servers and you can pull it with the following command.

docker pull fuzzingbook/student

Once the download is complete you can run the image with:

docker run -d -p 8888:8888 --name fuzzing-book-instance fuzzingbook/student

And copy the link from the terminal into your browser to execute it. If you don’t see a link you can execute:

docker exec -it fuzzing-book-instance jupyter notebook list

Once the container is started it will keep running in the background until you stop it.

Build the Docker image yourself

Run the following command to build the docker image for the book container:

docker build --build-arg publish=no -t 'fuzzing-book' fuzzingbook-dockerenv

If you want to contribute to the book or generate static builds of the book (HTML, slides, etc.) please use the publish argument:

docker build --build-arg publish=yes -t 'fuzzing-book' fuzzingbook-dockerenv

These commands are also available as scripts in bin/create-(publish/student)-build.

Finally, run the following command to start up an instance of the fuzzing book container for the first time and connect it to your local port 8888. You can then follow the instructions to open the notebook in your browser.

docker run -d -p 8888:8888 --name fuzzing-book-instance fuzzing-book

Now just follow the instructions to open the notebook in your browser. You can close the terminal window now, the container will keep running in the background until you stop it. If you can't find the link, run:

docker exec -it fuzzing-book-instance jupyter notebook list

Deploy a JupyterHub to local server

If you want to install the fuzzingbook in a server, to be used by multiple users during a lecture we recommend you to use the official jupyterhub-deploy-docker

We provide a precompiled image which works with this setup.

First, pull our precompiled user image with the following command:

docker pull fuzzingbook/user

Then configure the DOCKER_NOTEBOOK_IMAGE environment variable to point to fuzzingbook/user. This variable is used by the Docker spawner process. Finally, follow these instructions to finish setting up the server.

Note: We recommend you to add a redirection from the default HTTP port (80) to the HTTPS port (443). You can use a Docker container to

Notes

bin directory

The bin folder contains many of the instructions here as shorthand-scripts.

Stopping the container

docker stop fuzzing-book-instance

Restarting an existing container

docker stop fuzzing-book-instance
docker start fuzzing-book-instance

Updating the book

The book auto-updates every time the container is started, but if you made changes that prevent an update due to merge conflicts, you will have to manually resolve them in a console:

docker exec -it fuzzing-book-instance bash
cd fuzzingbook
<pull and solve merge conflicts>

or toss your changes and reset the repository:

docker exec -it fuzzing-book-instance bash
cd fuzzingbook
git reset --hard
git pull

Uninstalling

To delete the docker container and image, execute the following commands:

docker stop fuzzing-book-instance
docker rm fuzzing-book-instance
docker rmi fuzzing-book

Making the book/ Generating static book

If you have a container built with the publish option, you can use the bin/make script to obtain the HTML, Markdown, Word, Slides and static code versions of the book. A folder called build-output will be generated containing the items.

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