8000 GitHub - jagadeeshvenkatesh/attack_range: A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk
[go: up one dir, main page]

Skip to content

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

License

Notifications You must be signed in to change notification settings

jagadeeshvenkatesh/attack_range

 
 

Repository files navigation

Splunk Attack Range ⚔️

branch build status
develop develop status

Purpose 🛡

The Attack Range is a detection development platform, which solves three main challenges in detection engineering. First, the user is able to build quickly a small lab infrastructure as close as possible to a production environment. Second, the Attack Range performs attack simulation using different engines such as Atomic Red Team or Caldera in order to generate real attack data. Third, it integrates seamlessly into any Continuous Integration / Continuous Delivery (CI/CD) pipeline to automate the detection rule testing process.

Demo 📺

A short demo (< 6 min) which shows the basic functions of the attack range. It builds a testing enviroment using terraform, walks through the data collected by Splunk. Then attacks it using MITRE ATT&CK Technique T1003 and finally showcases how ESCU searches are used to detect the attack.

Attack Range Demo

Building 👷‍♂️

Attack Range can be built in three different ways:

Installation 🏗

Architecture 🏯

Logical Diagram

The virtualized deployment of Attack Range consists of:

  • Windows Domain Controller
  • Windows Server
  • Windows Workstation
  • A Kali Machine
  • Splunk Server
  • Phantom Server
  • Zeek Sensor

Which can be added/removed/configured using attack_range.conf. More machines such as Phantom, Linux server, Linux client, MacOS clients are currently under development.

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

Logging

The following log sources are collected from the machines:

  • Windows Event Logs (index = win)
  • Sysmon Logs (index = win)
  • Powershell Logs (index = win)
  • Network Logs with Splunk Stream (index = main)
  • Attack Simulation Logs from Atomic Red Team and Caldera (index = attack)

Running 🏃‍♀️

Attack Range supports different actions:

  • Configuring Attack Range
  • Build Attack Range
  • Perform Attack Simulation
  • Test with Attack Range
  • Destroy Attack Range
  • Stop Attack Range
  • Resume Attack Range
  • Dump Log Data from Attack Range

Build Attack Range

  • Build Attack Range
python attack_range.py build

Show Attack Range Infrastructure

  • Show Attack Range Infrastructure
python attack_range.py show

Perform Attack Simulation

  • Perform Attack Simulation
python attack_range.py simulate -st T1003.001 -t default-attack-range-windows-domain-controller

Test with Attack Range

  • Automated testing of detection:
python attack_range.py test -tf tests/T1003_001.yml

Destroy Attack Range

  • Destroy Attack Range
python attack_range.py destroy

Stop Attack Range

  • Stop Attack Range
python attack_range.py stop

Resume Attack Range

  • Resume Attack Range
python attack_range.py resume

Dump Log Data from Attack Range

  • 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 [--dump NAME_OF_DUMP]
  • default will dump all enabled dumps described in attack_data/dumps.yml
  • with optional argument --dump you can specify which dump to replay
python attack_range.py replay -dn data_dump --dump windows_sec_events

Features 💍

  • 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 Phantom

  • 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
  • Caldera

    • Adversary Emulation with Caldera
    • Installed on the Splunk Server and available over port 8888 with user admin
    • Preinstalled Caldera agents on windows machines
  • Kali Linux

    • Preconfigured Kali Linux machine for penetration testing
    • ssh connection over configured ssh key
  • Multiple instances of Attack Range can be launched utilizing the -rn parameter for attack_range.py

    • This will create instances tagged with ${range_name}-${instance_name}
    • Depending on how many instance you launch, you may need to increase your ElasticIP quota with the directions here

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.

Author

Contributors

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 88.3%
  • Python 6.9%
  • HCL 4.2%
  • Other 0.6%
0