Getting Started


Bandit is distributed on PyPI. The best way to install it is with pip.

Create a virtual environment (optional):

virtualenv bandit-env
python3 -m venv bandit-env

And activate it:

source bandit-env/bin/activate

Install Bandit:

pip install bandit

If you want to include TOML support, install it with the toml extras:

pip install bandit[toml]

Run Bandit:

bandit -r path/to/your/code

Bandit can also be installed from source. To do so, either clone the repository or download the source tarball from PyPI, then install it:

python install

Alternatively, let pip do the downloading for you, like this:

pip install git+


Example usage across a code tree:

bandit -r ~/your_repos/project

Example usage across the examples/ directory, showing three lines of context and only reporting on the high-severity issues:

bandit examples/*.py -n 3 -lll

Bandit can be run with profiles. To run Bandit against the examples directory using only the plugins listed in the ShellInjection profile:

bandit examples/*.py -p ShellInjection

Bandit also supports passing lines of code to scan using standard input. To run Bandit with standard input:

cat examples/ | bandit -

For more usage information:

bandit -h


Bandit allows specifying the path of a baseline report to compare against using the base line argument (i.e. -b BASELINE or --baseline BASELINE).

bandit -b BASELINE

This is useful for ignoring known vulnerabilities that you believe are non-issues (e.g. a cleartext password in a unit test). To generate a baseline report simply run Bandit with the output format set to json (only JSON-formatted files are accepted as a baseline) and output file path specified:

bandit -f json -o PATH_TO_OUTPUT_FILE

Version control integration

Use pre-commit. Once you have it installed, add this to the .pre-commit-config.yaml in your repository (be sure to update rev to point to a real git tag/revision!):

- repo:
  rev: '' # Update me!
  - id: bandit

Then run pre-commit install and you’re ready to go.