pySigma is a python library that parses and converts Sigma rules into queries. It is a replacement
for the legacy Sigma toolchain (sigmac) with a much cleaner design and is almost fully tested.
Backends for support of conversion into query languages and processing pipelines for transforming
rule for log data models are separated into dedicated projects to keep pySigma itself slim and
vendor-agnostic. See the Related Projects section below to get an overview.
To start using pySigma, install it using your python package manager of choice. Examples:
pip install pysigma
pipenv install pysigma
poetry add pysigma
Documentation with some usage examples can be found here.
The creation of a backend has become much easier with pySigma. We recommend using the "Cookie Cutter Template" and reviewing the existing backends listed in the "Related Projects" section of this README.
pySigma Cookie Cutter Template
pySigma brings a number of additional features compared to the all in one sigmac, as well as some changes.
sigma-cli is the equivalent of sigmac for command-line conversion
use sigma list modifiers
use sigma plugin list --plugin-type backend
Conversion Overview
Pipelines
More details are described in the documentation.
pySigma uses pytest as testing framework. Simply run pytest to run all tests. Run pytest --cov=sigma to get a coverage report.
To build your own package run poetry build.
To lint the code run poetry run black. To check for linting errors run poetry run black --check.
This project also uses pre-commit, which is installed by poetry as part of dev dependencies. To install the git hooks run poetry run pre-commit install after cloning the repository and installing the dependencies.
Pull requests are welcome. Please feel free to lodge any issues/PRs as discussion points.
This blog post by Micah Babinski explains the process from a developer's perspective.
The project is currently maintained by:
- Thomas Patzke [email protected]
- François Hubaut
pySigma isn't a monolithic library attempting to support everything but the core. Support for target query languages and log data models is provided by additional packages that extend pySigma:
- sigma-cli: a command line interface for conversion of Sigma rules based on pySigma.
- pySigma-backend-splunk
- pySigma-pipeline-sysmon
- pySigma-pipeline-crowdstrike
- pySigma-backend-netwitness
All packages can also be installed from PyPI if not mentioned otherwise by the Python package manager of your choice.
GNU Lesser General Public License v2.1. For details, please see the full license file located here.