Security Detection Rules

Sigma is a generic SIEM signature format and log event pattern standard used to describe malicious activity. It provides a vendor-neutral system for defining security event patterns in YAML, ensuring that detection logic remains portable across different monitoring platforms. The project maintains a curated library of peer-reviewed detection rules that identify threats and compliance violations. This standardized approach allows for the exchange of threat hunting logic and the translation of generic signatures into specific queries for various security information and event management systems

Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and security threats across hosts and containers. It functions as a Linux kernel event auditor, capturing system calls and kernel events in real-time to detect malicious activity. The system distinguishes itself through a rule-based threat detection model that evaluates system activity against a library of community-maintained rules and custom security definitions. It enriches raw kernel events with container and Kubernetes metadata to provide observability into isolated environments

This project is a detection-as-code framework providing a library of security monitoring rules and predefined detection content for Elasticsearch data indices. It serves as a threat detection rule library designed to identify malicious activity and attack patterns across diverse data streams in cloud and on-premises environments. The framework implements a detection engineering workflow where rules are defined in YAML and managed as versioned code. It includes a set of command-line utilities for automated rule deployment, metadata searching, and template generation, supported by a Python-base

CrowdSec is a collaborative, distributed security engine designed for threat detection and infrastructure protection. It functions as an intrusion detection system that parses logs and network traffic to identify malicious patterns, utilizing a bucket-based threshold detection model to aggregate events and trigger alerts. The platform is built on a modular architecture that includes a centralized local API server for managing security signals and a relational database for persistent storage of remediation decisions. What distinguishes the project is its decoupled enforcement model, which offl

Sigma is a suite of tools for defining generic log signatures and translating them for multiple backends. It provides a structured way to define malicious behavior and detection logic independently of any specific backend technology, acting as a translation engine that maps generic event fields and correlation logic to the proprietary query languages of security data lakes and SIEM platforms. The project features a plugin-based multi-backend query generator that exports security detections into various database and log management formats. It also includes a threat framework mapping tool that

This repository is a community-driven collection of security content for Azure Sentinel, the cloud-native security information and event management (SIEM) platform from Microsoft. It serves as a central hub for sharing detection rules, threat hunting queries, interactive workbooks, and automated response playbooks, all contributed and maintained through a standard GitHub-based pull request workflow. The content is designed to help security operations teams quickly deploy proven detections, proactively hunt for threats, visualize security data, and orchestrate incident response actions without

DetectionLab is a reproducible Windows Active Directory security lab designed for testing detection capabilities. It uses an automation framework based on Vagrant and Packer to provision virtualized networks across multiple hypervisors and cloud platforms. The project utilizes Ansible for the declarative installation and configuration of domain services and endpoint security tools. It incorporates a browser-based remote access interface via Apache Guacamole to manage laboratory hosts without requiring standalone remote desktop clients. The environment includes a telemetry pipeline that aggre

yarGen is a generator for YARA rules

sysmon-config provides configuration templates and exclusion rule sets designed to standardize system event tracing and reduce log noise on Windows hosts. It functions as a security configuration baseline that establishes a standard for tracing system events and process behaviors. The project focuses on providing pre-defined XML filters to highlight anomalous system changes while minimizing performance impact. It utilizes a collection of exclusion rules to remove trusted processes from event logs, which improves signal quality and reduces the volume of generated security data. These configur

LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to

Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring. The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external