attack_range VS DetectionLab

My advice… Don’t rush. Study the material and get a good understanding of the fundamentals. Each certification builds on the previous ones. If Splunk is a path you want to pursue, build those fundamentals. Put in the reps in a lab. Download BOTS, attack range data sets. Take a look at Splunk & Machine Learning YouTube channel. His videos are fantastic and he maintains a GitHub repo so you can use the datasets to practice what you learned on the video.

Somewhat related, but if you’re using splunk, you could use Splunk Attack Range which simulates attacks.

hey I think you are looking at a older repo for the local attack_range, we have not maintained this .. the current Splunk Attack Range lives here: https://github.com/splunk/attack_range/

Since you mention your in-depth ELK workflow, have you tried DetectionLab or Splunk's Attack Range? If you just want a fully working AD domain set up with various hosts, you can spin up the Red Team Attack Lab and then hook in your own logging stuff after it's built.

This is a project I've contributed to at work. It's designed to launch & configure a lab environment for security researchers, but that's not too important. It has a python CLI that takes a configuration file. That config file determines what bits of Terraform and ansible are executed. The Terraform builds instances in AWS (or Azure) and all the associated bits, and then calls the ansible playbook to provision that type of host.

Attack range: https://github.com/splunk/attack_range

have a look at Splunk's Attack Range project, which automates Caldera and Atomic Red Team for these kinds of purposes. i think this might help you as you gauge visibility, rulesets, etc ... https://github.com/splunk/attack_range

I would tell someone they should use a cloud lab like Clong's "Detection Lab" which gives them not only the security aspect but the cloud and engineering aspects as well.

Detection Lab Link: https://github.com/clong/DetectionLab

Not sure what your goal with splunk is but I'd recommend Detection lab! Once you get the pre reqs setup, building and tearing down is super easy and you get a pre-baked ad environment to generate logs for you. https://github.com/clong/DetectionLab

I found a great starting point at the repo of DetectionLab : https://github.com/clong/DetectionLab

While it's true what most are saying, that you don't need a powerful system to learn hacking....... You DO have a valid point that a powerful system enables things a weaker system may not. For example with 64GB of RAM you can run a full network lab simulation such as https://github.com/clong/DetectionLab additionally a solid high end graphics card will let you run things like hashcat a lot faster. In theory you could make a rainbow table. You still need a lot of time to understand all the basics but yeah there's a few cool things you can do with more power it's not ENTIRELY unneeded. I wish I knew about the local defcon group long ago. They're welcoming and some have capture the flags you can play. Understand the various job roles there are in security and figure out which one you like. You get paid to do specific things not just learn about hacking.

Github DetectioLab