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Awesome Detection Rules

A curated list of detection rule sources.

We built this during our research for SIEM Rules, your detection engineering AI assistant.

You can find a copy of the following table in a GSheet here.

Description URL Language Product Summary
Elastic Detection Rules https://github.com/elastic/detection-rules Query DSL Elastic The Elastic Detection Rules repository on GitHub provides rules for identifying threats using Elastic's Query DSL, organized by domains like malware, endpoint, and cloud.
Chronicle Detection Rules https://github.com/chronicle/detection-rules YARA-L 2.0 Chronicle This repository contains detection rules written in YARA-L 2.0 for Chronicle Security's platform, focused on threat detection for diverse environments.
Sigma Rules https://github.com/SigmaHQ/sigma Sigma Sigma The Sigma Rules repository on GitHub contains a curated list of Sigma rules structured by domain (e.g., Windows, network), enabling cross-platform detections.
Anvilogic Armory https://github.com/anvilogic-forge/armory Sigma Anvilogic Anvilogic Armory provides a collection of Sigma-based detection rules that can be used for cross-platform threat detection across different security platforms.
Panther Labs https://github.com/panther-labs/panther-analysis/tree/develop/rules Python Panther Panther Labs offers Python-based detection rules in this repository, designed for security operations teams using Panther to detect threats in cloud and hybrid environments.
Splunk Security Content https://github.com/splunk/security_content SPL Splunk The Splunk Security Content repository provides SPL-based detection rules and analytic stories for security use cases, including endpoint, cloud, and threat intelligence.
Datadog Security Rules https://docs.datadoghq.com/security/default_rules/ Proprietary Syntax Datadog Datadog's Security Rules documentation includes default security detection rules for use with Datadog’s SIEM, allowing users to build custom queries for their needs.
Sekoia Detection Rules https://docs.sekoia.io/xdr/features/detect/built_in_detection_rules/ Proprietary Syntax Sekoia Sekoia's built-in detection rules cover a variety of security events and offer pre-defined logic for detecting threats across environments.
Exabeam Content https://github.com/ExabeamLabs/Content-Doc JSON-based Rules Exabeam Exabeam Content repository contains JSON-based detection content designed for Exabeam’s SIEM, covering various security events and threat intelligence use cases.

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License

Creative Commons Attribution 4.0 International Public License.