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BugHog logo
pytest_job Docker Image Version (tag) Docker Image Size

BugHog is a powerful framework designed specifically to address the challenging task of pinpointing the exact code revisions in which a particular browser bug was introduced or fixed.

This framework has been developed as part of the "A Bug's Life: Analyzing the Lifecycle and Mitigation Process of Content Security Policy Bugs" paper to identify Content Security Policy bug lifecycles, published at USENIX Security '23.

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Getting started 🚀

BugHog is compatible with UNIX systems running Docker, including WSL on Windows. You will need at least 5 GB of disk space.

Follow these steps to get started:

# Clone this repository
git clone https://github.com/DistriNet/BugHog
cd BugHog

# Pull our pre-built Docker images
./scripts/pull.sh

# Start the pulled images
./scripts/start.sh

Open your web browser and navigate to http://localhost:80 to access the graphical user interface. If BugHog is started on a remote server, substitute 'localhost' with the appropriate IP address.

Note

Depending on your Docker configuration, you might have to use sudo ./scripts/[..].

BugHog in default configuration will spin up its own MongoDB container, which persists data in the /database folder. Configuring BugHog to use your own MongoDB and other options are explained here.

Tip

Our 30-minute tutorial will guide you on how to use BugHog to trace a real bug's lifecycle!

To stop BugHog, simply run this in the project root:

./scripts/stop.sh

Development 🛠️

Use the following commands to build the Docker images yourself, for instance after you made changes to the source code:

# Build BugHog images
./scripts/build.sh

# Run the freshly built images
./scripts/start.sh

Note

For reference, building takes about 4 minutes on a machine with 8 CPU cores and 8 GB of RAM.

Debugging

The most convenient debugging approach is to launch an interactive Node environment. The UI can be visited at http://localhost:5173.

./scripts/node_dev.sh

For debugging the core application, consider using the VS Code dev container. You can utilize the configuration in .devcontainer for this.

Support and contact ☎️

More information on how to use BugHog can be found here.

For questions, remarks or collaboration, you can reach out to Gertjan Franken.