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Tools that help you interact with the Bad Packets Cyber Threat Intelligence API.

Project description

bpq

Maintenance Build Status PyPI - Downloads Docker image download License Follow us on twitter

A suite of helpful tools for interacting with the Bad Packets Cyber Threat Intelligence API.

Getting started

Environment requirements

In order to run the code in this repository, you need to have a standard release of Python version 3.6 or higher installed. No additional libraries are required.

If you prefer running your applications in containers, skip to the container build and run section.

Installing

$ python3 -m pip install bpq

Building

If you prefer to install bpq using a local build, you can do so using pip.

$ python3 -m pip install .

Running the CLI tool

$ bpq -h
usage: bpq [-h]  # ... usage information follows

Pulls Bad Packets CTI data. All arguments given at the command line can be
specified using environment variables. For example, a command line option of
`--output-format csv` is equivalent to setting the environment variable
`OUTPUT_FORMAT=csv`. Any argument not specified will be populated with an
environment variable or the default value indicated in `--help`.

# ... argument documentation follows

Running without building

You can still run the command line application without building a package if you like. Just run python3 -m bpq.cli instead of bpq.

Examples

You can find example scripts (using this CLI tool, the Python API and curl) in the project's examples directory.

Another note on authenticating and using command line arguments

The shell script will attempt to resolve parameters from environment variables. The most important environment variables are:

Variable name Description
BAD_PACKETS_API_TOKEN Token use for API authentication
LOG_LEVEL Log verbosity. Can have a value of ERROR, WARNING, DEBUG or INFO

If no environment variable exists or a command line argument is given, the tool will take the command line argument (i.e. command line arguments always have priority over environment variables).

Developing

Development help is always welcome! Full documentation on how to get started is in the project's CONTRIBUTING.rst file. Please be nice and follow our code of conduct whenever you participate.

Building the application container

This application is designed to run only in an unprivileged container as a non-root user. Docker and Podman are supported for building container images, and we currently support Alpine and Red Hat Universal Base Image (UBI) as base operating systems. You can control the version of Python defining the PYTHON_VERSION parameter at build time.

Using docker

To build a container with the default base image (Python 3.9 running on the latest stable version of Alpine), run

docker build --rm --no-cache -t bpq .

The PYTHON_VERSION build argument can be used to control which version of Python you are using. For example, docker build --rm --no-cache --build-arg PYTHON_VERSION=3.6 -t bpq . will build an application image running Python 3.6.

Using podman

podman build --rm --no-cache -t bpq .

Note that podman reads Containerfile by default, which builds from the Red Hat Universal Base Image (UBI) rather than images from Docker Hub. Due to Red Hat's naming conventions, Python versions should be formatted as ${major}${minor} rather than ${major}.${minor}. Concretely, --build-arg PYTHON_VERSION=38 will build a container that runs Python 3.8. If you do not want to use the Python UBI at all, pass --file Dockerfile to podman.

Running the application container

docker run -e BAD_PACKETS_API_TOKEN=${BAD_PACKETS_API_TOKEN} bpq if using Docker. podman run -e BAD_PACKETS_API_TOKEN=${BAD_PACKETS_API_TOKEN} bpq if using Podman.

Contributing

Contributions are encouraged! Learn how to contribute by reading CONTRIBUTING.md. Please be nice and follow our Code of Conduct.

License

Apache License 2.0

Author Information

Mathew Woodyard

@ctidelivery

Project details


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