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https://github.com/dikayx/elk-siem

A lightweight SIEM solution using the ELK stack, Docker, Winlogbeat and Sysmon for efficient log collection and analysis.
https://github.com/dikayx/elk-siem

docker elk siem sysmon windows winlogbeat

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A lightweight SIEM solution using the ELK stack, Docker, Winlogbeat and Sysmon for efficient log collection and analysis.

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# elk-siem

![ElasticSearch](https://img.shields.io/badge/-ElasticSearch-005571?style=for-the-badge&logo=elasticsearch)
![Logstash](https://img.shields.io/badge/-Logstash-005571?style=for-the-badge&logo=logstash)
![Kibana](https://img.shields.io/badge/-Kibana-005571?style=for-the-badge&logo=kibana)
![Docker](https://img.shields.io/badge/Docker-2496ED?style=for-the-badge&logo=docker&logoColor=white)
![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white)

This project is a simple ELK stack-based SIEM (_Security Information and Event Management_) system for Windows endpoints. It is designed to collect, parse, and visualize Windows endpoint logs in a centralized manner by utilizing Sysmon and Winlogbeat.

![Preview](./_assets/preview.png)

## Architecture

The overall architecture is based on the ELK stack, which consists of Elasticsearch, Logstash, and Kibana. It uses **[Beats](https://www.elastic.co/beats)** as a data shipper to collect logs from several endpoints. In this case, **[Winlogbeat](https://www.elastic.co/beats/winlogbeat)** is used to collect Windows event logs.

> _On Linux, you can use **[Filebeat](https://www.elastic.co/beats/filebeat)** or **[Metricbeat](https://www.elastic.co/beats/metricbeat)** to collect logs and metrics from the operating system and services. For MacOS, **[Auditbeat](https://www.elastic.co/beats/auditbeat)** is available to collect audit events._

![Architecture](./_assets/elk_stack_diagram.png)

- Via **Winlogbeat**, relay gathers activity information from **sysmon** on the Windows endpoint to **Logstash** on ELK server.
- **Logstash** reads, parses, transforms, and relays the data to **Elasticsearch**.
- **Kibana** searches and visualizes the information from **Elasticsearch**.

## Getting Started

This project is designed to be used with [Docker](https://www.docker.com/). To get started, clone this repository and follow the instructions in the [installation guide](./_guides/INSTALLATION.md).

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Inspired from

- https://github.com/KnightChaser/KnightChaser
- https://github.com/deviantony/docker-elk