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A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk

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Splunk Attack Range

Purpose

The Attack Range solves two main challenges in development of detections. First, it allows the user to quickly build a small lab infrastructure as close as possible to your production environment. This lab infrastructure contains a Windows Domain Controller, Windows Server, Windows Workstation and a Kali Machine, which comes pre-configured with multiple security tools and logging configuration. The infrastructure comes with a Splunk server collecting multiple log sources from the different servers.

Second, this framework allows the user to perform attack simulation using different engines. Therefore, the user can repeatedly replicate and generate data as close to "ground truth" as possible, in a format that allows the creation of detections, investigations, knowledge objects, and playbooks in Splunk.

Demo

Attack Range Demo

Architecture

Attack Range can be built in three different ways:

  • local using vagrant and virtualbox
  • in the cloud using terraform and AWS
  • cloud optimized using terraform, packer and AWS

Logical Diagram

Attack Range consists of Windows Domain Controller, Windows Server, Windows Workstation and a Kali Machine, which can be added/removed/configured using attack_range.conf. More machines such as Phantom, Linux Server, Linux Client are currently under development.

Logical Diagram

Configuration

Running

Attack Range supports different actions:

  • Build Attack Range
  • Perform Attack Simulation
  • Search with Attack Range
  • Destroy Attack Range
  • Stop Attack Range
  • Resume Attack Range

Build Attack Range

  • Build Attack Range
python attack_range.py -m terraform/vagrant/packer -a build

Perform Attack Simulation

  • Perform Attack Simulation
python attack_range.py -m terraform/vagrant/packer -a simulate -st T1117,T1003 -t attack-range-windows-domain-controller

Search with Attack Range

  • Run a savedsearch and return the results
python attack_range.py -m terraform/vagrant/packer -a search -sn search_name

Destroy Attack Range

  • Destroy Attack Range
python attack_range.py -m terraform/vagrant/packer -a destroy

Stop Attack Range

  • Stop Attack Range
python attack_range.py -m terraform/vagrant/packer -a stop

Resume Attack Range

  • Resume Attack Range
python attack_range.py -m terraform/vagrant/packer -a resume

Support

Please use the GitHub issue tracker to submit bugs or request features.

If you have questions or need support, you can:

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Contributors

Contributing

We welcome feedback and contributions from the community! Please see our contribution guidelines for more information on how to get involved.

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A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk

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