* Provide a free hunting platform to the community and share the basics of Threat Hunting.
* Make sense of a large amount of event logs and add more context to suspicious events during hunting.
* Expedite the time it takes to deploy an ELK stack.
* Improve the testing of hunting use cases in an easier and more affordable way.
# Resources
* [Setting up a Pentesting.. I mean, a Threat Hunting Lab - Part 5](https://cyberwardog.blogspot.com/2017/02/setting-up-pentesting-i-mean-threat_98.html)
* Docker & Docker-compose (Needed for HELK Docker Installation ONLY)
### Installing Docker & Docker-compose
If you decide to build,(re)create, start and attach the specific containters needed for the HELK services (Elasticsearch, Logstash & Kibana), you will have to install Docker and Docker-compose first.
You can use this basic HELK build and integrate it with other hunting platforms. So far you can use this build and integrate it with the following platforms:
### Automated Collection and Enrichment (ACE)
[ACE](https://github.com/Invoke-IR/ACE) is a suite of tools for threat hunters to collect data from many endpoints in a network and automatically enrich the data. The data is collected by running scripts on each computer without installing any software on the target. ACE supports collecting from Windows, macOS, and Linux hosts.
Once you have the HELK cloned locally, you will just have to update the custom ace-rabbimq-input.conf with your ACE-rabbitmq IP address,user & password. Then, you will ned to copy the custom ace-rabbitmq logstash configs to the HELK's default logstash/pipeline folder before installing it.
The HELK can be installed via a bash script or a docker-compose file. After installing the HELK, browse to your HELK (host) IP address and log on with username:helk & password:hunting.
There are a few things that I would like to accomplish with the HELK as shown in the To-Do list below, but I would also woult love to make the HELK a stable build for everyone in the community. If you are interested on making this build a more robust one and adding some cool features to it, PLEASE feel free to submit a pull request. #SharingIsCaring