kartone / sigma-cli

The Sigma command line interface based on pySigma

Sigma Command Line Interface

This is the Sigma command line interface using the pySigma library to manage, list and convert Sigma rules into query languages.

Getting Started

Installation

The easiest way to install the Sigma CLI is via pipx or pip. For this purpose run one of the following:

python -m pipx install sigma-cli
python -m pip install sigma-cli

on macOS use

python3 -m pip install sigma-cli

Another way is to run this from source in a virtual environment managed by Poetry:

git clone https://github.com/SigmaHQ/sigma-cli.git
cd sigma-cli
poetry install
poetry shell

Usage

The CLI is available as sigma command. A typical invocation is:

sigma convert -t <backend> -p <processing pipeline 1> -p <processing pipeline 2> [...] <directory or file>

E.g. to convert process creation Sigma rules from a directory into Splunk queries for Sysmon logs run:

sigma convert -t splunk -p sysmon sigma/rules/windows/process_creation

Required backends must be installed using the following command prior to conducting conversions.

To list all available plugins run the following command:

sigma plugin list

Install a plugin of your choice with:

sigma plugin install <backend>

E.g. to install the splunk backend run:

sigma plugin install splunk

Available conversion backends and processing pipelines can be listed with sigma list. Use -O or --backend-option for passing options to the backend as key=value pairs (-O testparam=123) . This backend option parameter can be used multiple times (-O first=123 -O second=456).

Backends can support different output formats, e.g. plain queries and a file that can be imported into the target system. These formats can be listed with sigma list formats <backend> and specified for conversion with the -f option.

In addition, an output file can be specified with -o.

Example for output formats and files:

sigma convert -t splunk -f savedsearches -p sysmon -o savedsearches.conf sigma/rules/windows/process_creation

Outputs a Splunk savedsearches.conf containing the converted searches.

Integration of Backends and Pipelines

Backends and pipelines can be integrated by adding the corresponding packages as dependency with:

poetry add <package name>

A backend has to be added to the backends dict in sigma/cli/backends.py by creation of a Backend named tuple with the following parameters:

• The backend class.
• A display name shown to the user in the targets list (sigma list targets).
• A dict that maps output format names (used in -f parameter) to descriptions of the formats that are shown in the format list (sigma list formats <backend>). The formats must be supported by the backend!

The dict key is the name used in the -t parameter.

A processing pipeline is defined in the pipelines variable dict in sigma/cli/pipelines.py. The variable contains a ProcessingPipelineResolver that is instantiated with a dict that maps identifiers that can be used in the -p parameter to functions that return ProcessingPipeline objects. The descriptive text shown in the pipeline list (sigma list pipelines) is provided from the name attribute of the ProcessingPipeline object.

Maintainers

The project is currently maintained by:

• Thomas Patzke [email protected]