![]() # Default Elasticsearch configuration from Elasticsearch base image. If you want to turn off the paid features, it can be done through the Elastic Search config file, by adapting the _generated.type line from trial to basic. More information about the License Management can be found on the official Elastic Search website. If you want to try all of the X-Pack features, you can start a 30-day trial. By default, when you install Elasticsearch, X-Pack is installed. X-Pack is an Elastic Stack extension that provides security, alerting, monitoring, reporting, machine learning, and many other capabilities. After the trial period is over, you will need to get a valid key for it, or switch to the "basic" use, where the majority of features are disabled. If you want to use the extension's features, the extension comes with a free 30-day trial. I will do mention couple of important things:īy default, Elastic Search comes with the X-Pack extension that provides security, alerting, monitoring, reporting and tons of other features. The project has a very well written manual and explains in detail how to run the ELK Stack and configure it if need be, so I am not going to go through it here. Through the use of the docker-compose file we can start it up in no time and have an ELK Stack running on our machine. The Docker-ELK project has packaged and prepared carefully the different component of the ELK stack to make it easy for configuration and deployment. ![]() The logs are generated using the GHOSTS framework. The proxy server is configured to collect HTTP/HTTPS logs and store them in squid format, and using Filebeat, I can forward them to Logstash. ![]() That way I can later connect Logstash to a proxy server and collect logs from there. I have opted to deploy the ELK Stack on a Linux Virtual Machine inside our own Cyber Range. That is one of the great benefits of open-source projects- so many people can contribute and implement branches of the main project, which can be super useful in different circumstances. Option two is easier to implement, as the configuration needed is minimal and we can directly start playing with the Stack and testing out its capabilities.įor this exercise, I opted for deploying the ELK Stack using Docker containers and more specifically, an implementation done by the community, found at the Github docker-elk project webpage. We can also use Docker containers to deploy the different parts of the Stack. This can be very finicky, but offers greater control over how the Stack will run. There are multiple ways to deploy the ELK Stack in our network- we can deploy each project individually, configuring it as we go, to suit our needs. When needed, we can visualize the data using Kibana, through the use of the Kibana Dashboard, where we can define our own visualizations or use predefined ones. Storing the data can vary depending on origin/type of data/importance or other criteria. Network logs are gathered by Logstash, parsed following specific schemas and sent to ElasticSeach for storage. The ELK Stack facilitates the aggregation of logs from different systems and applications running in our network, parsing and enriching them with extra information, creating data specific visualizations, troubleshooting, security analytics and much more. The ELK Stack is an acronym denoting a framework composed of three open-source projects: Elasticsearch, Logstash and Kibana. One such framework that has gained a lot of popularity, because of its modularity and open-source nature, is the ElasticSearch/Logstash/Kibana framework. Of course, I am talking about the use of a Security Information and Event Management (SIEM) framework. Luckily there are ways to aggregate all this data and store it so it can be reviewed and hopefully discover any abnormal activity. It is quite easy for an attacker to obfuscate his actions, when we are confronted with large amounts of network data to analyze. Managing big networks can be quite complicated- many inbound and outbound requests, network traffic, email correspondence and other activities that need to be monitored.
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