Splunk Attack Range


Purpose 🛡

The Attack Range is a detection development platform, which solves three main challenges in detection engineering:

  • The user is able to quickly build a small lab infrastructure as close as possible to a production environment.
  • The Attack Range performs attack simulation using different engines such as Atomic Red Team or Prelude Operator in order to generate real attack data.
  • It integrates seamlessly into any Continuous Integration / Continuous Delivery (CI/CD) pipeline to automate the detection rule testing process.


A demo (~12 min) that shows the basic functions of the attack range. It builds a testing environment using terraform, walks through the data collected by Splunk. Then attacks it using Atomic Red Team with MITRE ATT&CK Technique T1003.002, and Threat Actor simulation playbook using PurpleSharp. Finally showcases how Splunk Security Content searches are used to detect the attack.

Installation 🏗

Using Docker

  1. docker pull splunk/attack_range
  2. docker run -it splunk/attack_range
  3. aws configure
  4. python attack_range.py configure

To install directly on Ubuntu, MacOS follow these instructions.


The deployment of the Attack Range consists of:

  • Windows Domain Controller
  • Windows Server
  • Windows Workstation
  • A Kali Machine
  • Splunk Server
  • Splunk SOAR Server
  • Nginx Server
  • Linux + Sysmon
  • Zeek Sensor

Which can be added/removed/configured using attack_range.conf.

An approximate cost estimate for running attack_range on AWS can be found here.


The following log sources are collected from the machines:

  • Windows Event (index = win)
  • Windows Powershell (index = win)
  • Sysmon for Windows EDR (index = win)
  • Aurora for Windows EDR (index = win)
  • Sysmon for Linux EDR (index = unix)
  • OSquery for Linux EDR (index = osquery)
  • Nginx Proxy (index = proxy)
  • Splunk Streams Network (index = main)
  • Zeek Network (index = main)
  • Attack Simulations from Atomic Red Team (index = attack)

Running 🏃‍♀️

Attack Range supports different actions:

Configure Attack Range

python attack_range.py configure

Build Attack Range

python attack_range.py build

Show Attack Range Infrastructure

python attack_range.py show

Perform Attack Simulations with Atomic Red Team or PurpleSharp

python attack_range.py simulate -e ART -st T1003.001 -t ar-win-dc-default-username-33048

python attack_range.py simulate -e PurpleSharp -st T1003.001 -t ar-win-dc-default-username-33048

python attack_range.py simulate -e PurpleSharp -sp AD_Discovery.json -t ar-win-dc-default-username-33048

Test with Attack Range

python attack_range.py test -tf tests/T1003_001.yml, tests/T1003_002.yml

Destroy Attack Range

python attack_range.py destroy

Stop Attack Range

python attack_range.py stop

Resume Attack Range

python attack_range.py resume

Dump Log Data from Attack Range

python attack_range.py dump -dn data_dump 

Replay Dumps into Attack Range Splunk Server

  • Replay previously saved dumps from Attack Range
python attack_range.py replay -dn data_dump -fn FILE_NAME --source SOURCE --sourcetype SOURCETYPE --index INDEX


  • Splunk Server
    • Indexing of Microsoft Event Logs, PowerShell Logs, Sysmon Logs, DNS Logs, ...
    • Preconfigured with multiple TAs for field extractions
    • Out of the box Splunk detections with Enterprise Security Content Update (ESCU) App
    • Preinstalled Machine Learning Toolkit (MLTK)
    • Splunk UI available through port 8000 with user admin
    • ssh connection over configured ssh key
  • Splunk Enterprise Security
  • Splunk SOAR

  • Windows Domain Controller & Window Server & Windows 10 Client
    • Can be enabled, disabled and configured over attack_range.conf
    • Collecting of Microsoft Event Logs, PowerShell Logs, Sysmon Logs, DNS Logs, ...
    • Sysmon log collection with customizable Sysmon configuration
    • RDP connection over port 3389 with user Administrator
  • Atomic Red Team
    • Attack Simulation with Atomic Red Team
    • Will be automatically installed on target during first execution of simulate
    • Atomic Red Team already uses the new Mitre sub-techniques
  • PurpleSharp

    • Native adversary simulation support with PurpleSharp
    • Will be automatically downloaded on target during first execution of simulate
    • Supports two parameters -st for comma separated ATT&CK techniques and -sp for a simulation playbook
  • Prelude Operator

    • Adversary Emulation with Prelude Operator
    • Headless v1.6 Installed on the Splunk Server, see guide for more details.
    • Preinstalled Prelude Operator Pneuma agent across Windows and Linux machines
  • Kali Linux

    • Preconfigured Kali Linux machine for penetration testing
    • ssh connection over configured ssh key

Support 📞

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

If you have questions or need support, you can:

Contributing 🥰

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


July 15, 2022


Hakin9 TEAM
Hakin9 is a monthly magazine dedicated to hacking and cybersecurity. In every edition, we try to focus on different approaches to show various techniques - defensive and offensive. This knowledge will help you understand how most popular attacks are performed and how to protect your data from them. Our tutorials, case studies and online courses will prepare you for the upcoming, potential threats in the cyber security world. We collaborate with many individuals and universities and public institutions, but also with companies such as Xento Systems, CATO Networks, EY, CIPHER Intelligence LAB, redBorder, TSG, and others.
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