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hayabusa/tools/sigmac/README-English.md
2021-12-09 09:28:54 +09:00

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Automatic conversion of Sigma to Hayabusa rules

python version version version

You can use hayabusa.py, a sigmac backend, to automatically convert Sigma rules to Hayabusa rules.

Pre-converted Sigma rules

Sigma rules have already been pre-converted to hayabusa format and placed in the ./rules/Sigma directory. Please refer to this documentation to convert rules on your own for local testing, using the latest rules, etc...

Python requirements

You need Python 3.8+ and the following modules: pyyaml, ruamel.yaml, requests.

pip3 install -r requirements.txt

About Sigma

https://github.com/SigmaHQ/sigma

Settings

hayabusa.py needs sigmac from the Sigma repository. Before using hayabusa.py, please clone the Sigma repository.

git clone https://github.com/SigmaHQ/sigma.git

Usage

Create an environmental variable $sigma_path that points to the Sigma repository and register haybausa as a backend for Sigma:

export sigma_path=/path/to/sigma_repository
cp hayabusa.py $sigma_path/tools/sigma/backends
cp convert.sh $sigma_path
cp splitter.py $sigma_path
  • CautionBe sure to specify the path to your Sigma repository in place of /path/to/sigma_repository.

Convert Rule

convert.sh will convert sigma rules to hayabusa rules and save them in a new hayabusa_rules folder.

export sigma_path=/path/to/sigma_repository
cd $sigma_path
sh convert.sh

sigmac which we use for convert rule files has many options. If you want to use some option, edit convert.sh

Currently unsupported rules

The following rules currently cannot be automatically converted because it contains an aggregation operator that has not been implemented yet.

sigma/rules/windows/builtin/win_susp_samr_pwset.yml
sigma/rules/windows/image_load/sysmon_mimikatz_inmemory_detection.yml
sigma/rules/windows/process_creation/process_creation_apt_turla_commands_medium.yml

Sigma rule parsing errors

Some rules will have been able to be converted but will cause parsing errors or will not be usable due to various bugs. We will continue to fix these bugs but for the meantime the majority of Sigma rules do work so please ignore the errors for now.