* removed custom semver and replaced with pypi * updated beats.py version references * updated bump-versions CLI command to use semver and change logic * updated schemas __init__, test_version_lock and unstage incompatible rules CLI * updated test_stack_schema_map in TestVersions unittest * updated test_all_rules unit testing Version() references * updated stack_compat.py for get_restricted_field references) * updated version_lock.py Version() references * updated docs.py Version() reference for parse_registry * updated devtools.py Version() reference for trim-version-lock * updated mixins.py Version() reference in validate_field_compatibility * adjusted schemas.__init__ Version() reference in get_stack_schemas * adjusted ecs.py Version() references * adjusted integrations.py Version() references * adjusted rule.py Version() references * sorted imports * replaced custom semver with pypi semver in unit test files * addressed unit test and flake errors * changed semver strings casted to version_lock.py * fixed sorting in integrations.py * updated bump-pkgs-versions CLI command * adjusted semantic version in unstage-incompatible-rules command * adjusted semver import to VersionInfo * added semver 3 and adjusted import names * added option_minor_and_patch parameter where version is major.minor * updated bump-pkg-versions to always save to packages.yml * removed leftover split call & updated find latest compatible version command * updated integrations.py, version_lock.py and schemas.__init__.py * changed fstring reference in downgrade function * reverted formatting changes for detection_rules __init__.py * added newline to detection_rules __init__.py * adjusted finding latest_release for attack package logic * adjusted unstage-incompatible-rules command logic comparing versions * removing changes from misc.py related to auto-formatting * adding newline to misc.py * fixed bug in downgrade function calling decorators * added semantic version validation on migrate decorator function * added expected type returned from find_latest_integration_version in integrations.py * add comment about stripped versions for version lock file Co-authored-by: Mika Ayenson <Mikaayenson@users.noreply.github.com> --------- Co-authored-by: Mika Ayenson <Mikaayenson@users.noreply.github.com>
Detection Rules
Detection Rules is the home for rules used by Elastic Security. This repository is used for the development, maintenance, testing, validation, and release of rules for Elastic Security’s Detection Engine.
This repository was first announced on Elastic's blog post, Elastic Security opens public detection rules repo. For additional content, see the accompanying webinar, Elastic Security: Introducing the public repository for detection rules.
Table of Contents
Overview of this repository
Detection Rules contains more than just static rule files. This repository also contains code for unit testing in Python and integrating with the Detection Engine in Kibana.
| folder | description |
|---|---|
detection_rules/ |
Python module for rule parsing, validating and packaging |
detection_rules/etc/ |
Miscellaneous files, such as ECS and Beats schemas |
kibana/ |
Python library for handling the API calls to Kibana and the Detection Engine |
kql/ |
Python library for parsing and validating Kibana Query Language |
rta/ |
Red Team Automation code used to emulate attacker techniques, used for rule testing |
rules/ |
Root directory where rules are stored |
tests/ |
Python code for unit testing rules |
Getting started
Although rules can be added by manually creating .toml files, we don't recommend it. This repository also consists of a python module that aids rule creation and unit testing. Assuming you have Python 3.8+, run the below command to install the dependencies:
$ pip3 install ".[dev]"
Collecting jsl==0.2.4
Downloading jsl-0.2.4.tar.gz (21 kB)
Collecting jsonschema==3.2.0
Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB)
|████████████████████████████████| 56 kB 318 kB/s
Collecting requests==2.22.0
Downloading requests-2.22.0-py2.py3-none-any.whl (57 kB)
|████████████████████████████████| 57 kB 1.2 MB/s
Collecting Click==7.0
Downloading Click-7.0-py2.py3-none-any.whl (81 kB)
|████████████████████████████████| 81 kB 2.6 MB/s
...
To confirm that everything was properly installed, run with the --help flag
$ python -m detection_rules --help
Usage: detection_rules [OPTIONS] COMMAND [ARGS]...
Commands for detection-rules repository.
Options:
-d, --debug / -n, --no-debug Print full exception stacktrace on errors
-h, --help Show this message and exit.
Commands:
create-rule Create a detection rule.
dev Commands for development and management by internal...
es Commands for integrating with Elasticsearch.
import-rules Import rules from json, toml, or Kibana exported rule...
kibana Commands for integrating with Kibana.
mass-update Update multiple rules based on eql results.
normalize-data Normalize Elasticsearch data timestamps and sort.
rule-search Use KQL or EQL to find matching rules.
test Run unit tests over all of the rules.
toml-lint Cleanup files with some simple toml formatting.
validate-all Check if all rules validates against a schema.
validate-rule Check if a rule staged in rules dir validates against a...
view-rule View an internal rule or specified rule file.
The contribution guide describes how to use the create-rule and test commands to create and test a new rule when contributing to Detection Rules.
For more advanced command line interface (CLI) usage, refer to the CLI guide.
How to contribute
We welcome your contributions to Detection Rules! Before contributing, please familiarize yourself with this repository, its directory structure, and our philosophy about rule creation. When you're ready to contribute, read the contribution guide to learn how we turn detection ideas into production rules and validate with testing.
Licensing
Everything in this repository — rules, code, RTA, etc. — is licensed under the Elastic License v2. These rules are designed to be used in the context of the Detection Engine within the Elastic Security application. If you’re using our Elastic Cloud managed service or the default distribution of the Elastic Stack software that includes the full set of free features, you’ll get the latest rules the first time you navigate to the detection engine.
Occasionally, we may want to import rules from another repository that already have a license, such as MIT or Apache 2.0. This is welcome, as long as the license permits sublicensing under the Elastic License v2. We keep those license notices in NOTICE.txt and sublicense as the Elastic License v2 with all other rules. We also require contributors to sign a Contributor License Agreement before contributing code to any Elastic repositories.
Questions? Problems? Suggestions?
- Want to know more about the Detection Engine? Check out the overview in Kibana.
- This repository includes new and updated rules that have not been released yet. To see the latest set of rules released with the stack, see the Prebuilt rule reference.
- If you’d like to report a false positive or other type of bug, please create a GitHub issue and check if there's an existing one first.
- Need help with Detection Rules? Post an issue or ask away in our Security Discuss Forum or the #security-detection-rules channel within Slack workspace.