Apache Guacamole is a clientless remote desktop application which is installed on the Splunk Server. This is now simplified by integrating Apache Guacamole into the Attack Range. Providing Attack Range access to students was difficult. Afterwards, you can build Attack Ranges within 5 minutes.īased on your feedback, we learned that the Attack Range is often used in training and workshops in which the trainer prepared the Attack Ranges for their students. Generating the pre-built images takes around 20 minutes per server, which only needs to be performed once. By introducing Packer to pre-build images, the build time of Attack Range is reduced to 5 minutes or less. Previously, building an Attack Range with a Splunk Server and a Windows Server took around 30 minutes every time. Packer standardizes and automates the process of building Golden images which are templates for virtual machines. We optimized the build time of Attack Range from 30 minutes to 5 minutes by using pre-built images which were generated with the tool Packer. It integrates seamlessly into any Continuous Integration / Continuous Delivery (CI/CD) pipeline to automate the detection rule testing process.The Attack Range performs attack simulation using different engines, such as Atomic Red Team or Prelude Operator, in order to generate real attack data.The user is able to quickly build a small lab infrastructure as close as possible to a production environment.The Splunk Attack Range provides the following capabilities for detection engineering: This blog highlights the new features introduced in version 3.0 to help build resilient, high-quality detections. Splunk Attack Range is an open source project that allows security teams to spin up a detection development environment to emulate adversary behavior and use the generated telemetry data to build detections in Splunk. The Splunk Threat Research Team (STRT) is happy to release v3.0 of the Splunk Attack Range.
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