Elastic Endpoint Behavioral Rules
Open-source detection logic (rules, YARA, EQL) for Elastic Security's endpoint protection against malware, ransomware, and advanced threats.
What is Elastic Endpoint Behavioral Rules?
Protections Artifacts is the open-source repository containing detection logic for Elastic Security's endpoint protection platform. It includes behavioral rules, YARA signatures, and ransomware protection artifacts that help security teams detect and prevent malware, ransomware, and advanced threats. The project provides the underlying rules that power Elastic's endpoint security capabilities.
Security engineers, threat hunters, and SOC analysts using or evaluating Elastic Security for endpoint protection who want transparency into detection logic or need to customize rules.
It offers fully open and transparent detection rules from a major security vendor, allowing teams to audit, understand, and provide feedback on the logic protecting their endpoints without vendor black boxes.
Overview
Elastic Security detection content for Endpoint
Use Cases
Best For
- Auditing detection logic used in Elastic endpoint security
- Understanding behavioral detection rules for threat hunting
- Customizing YARA rules for specific malware families
- Implementing ransomware protection signatures
- Learning EQL for security analytics
- Transparent security operations with open-source rules
Not Ideal For
- Security teams using SIEM or EDR platforms other than Elastic Stack (e.g., Splunk or CrowdStrike)
- Organizations that require community-driven rule updates via direct pull request contributions
- Projects needing standalone, vendor-agnostic detection rules that can be easily ported to other security tools
Pros & Cons
Pros
The detection logic is fully open and publicly available, allowing security teams to audit and understand the rules, as emphasized in the README's transparency philosophy and blog post link.
Rules are developed and maintained by Elastic, a major security vendor, ensuring they are tested and integrated with Elastic Security for endpoint protection, as stated in the repository description.
Includes EQL-based behavioral rules, YARA signatures for malware, and specialized ransomware artifacts, covering multiple threat vectors as detailed in the directory table.
Provides feedback mechanisms through issues, Slack, and forums, enabling collaboration and improvement, as mentioned in the 'Questions? Problems? Suggestions?' section.
Cons
Pull requests are not accepted, and the repository is automatically generated, restricting direct code contributions and customization, as explicitly stated in the README.
The artifacts are tailored for Elastic Security and may not be easily usable outside this platform, creating vendor lock-in for teams not invested in Elastic.
Deploying these rules requires a full Elastic Security setup, which can be resource-intensive and complex compared to plug-and-play detection solutions.
Frequently Asked Questions
Related Projects
Sigma RulesMain Sigma Rule Repository
Elastic Detection RulesDetection Rules is the official repository for the rules used by Elastic Security's Detection Engine. It provides a comprehensive toolkit for security teams to develop, validate, test, and release detection logic in a structured, code-driven manner. This approach enables version control, automated testing, and streamlined integration with the Elastic SIEM. ## Key Features - **Rule Development & Management** — Python module for parsing, validating, and packaging detection rules from TOML files. - **Detections as Code (DaC)** — Full pipeline and CLI tools to manage rules with version control and automated workflows. - **Unit Testing Framework** — Integrated Python testing suite to validate rule logic and ensure reliability. - **Kibana Integration** — Library for API calls to Kibana and the Detection Engine for seamless rule deployment. - **KQL Validation** — Library for parsing and validating Kibana Query Language used in rule conditions. - **Threat Hunting Packages** — Dedicated directory for storing and managing threat hunting queries and packages. ## Philosophy The project embraces a Detections-as-Code philosophy, treating security rules as software artifacts to improve maintainability, collaboration, and automation in threat detection.
KQL Advanced Hunting Queries & Analytics RulesKQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
Splunk Security ContentSplunk Security Content
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.