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SentinelOne Threat-Hunting Lab

SentinelOne had a threat-hunting course that had a small presentation followed by a lab where I was given the opportunity to play around with the SentinelOne console and go hunting in a simulated environment. While I did not end up playing around in the environment for too long I did thoroughly enjoy both the presentation and getting to use SentinelOne. I like how everything is mapped out to the Mitre framework and it was a fairly easy to use console which is not always something you get with EDR solutions. All in all it felt like a clean solution that offers a lot of great features, some of which I got to test out in the lab. I'm posting my notes on the presentation below for anyone that would like to see how it was.

Think Like a Threat Hunter

  • Blue Team
    • Working knowledge of defense procedures and systems such as SIEMs, endpoint security technologies and log aggregation methods
    • Extensive network terrain knowledge
      • Cant protect what you don't see or know
  • Intel
    • Understanding attack vectors that go beyond a list of IOCs
    • Mitre Att&ck
      • Adversarial tactics, techniques, and common knowledge
      • Based on real-world observations
      • Free, open, global
      • Common language
      • Community driven
      • Shift from indicators to behaviors
    • Can apply non-technical defensive measures to technique
      • Policy change
      • Risk acceptance
  • Red Team
    • Threat hunters should have experience thinking and acting like an attacker
    • Red-teamer's mindset is moving through an organization undetected
    • Understand how to utilize exploits, how to elevate priveleges, and write scripts
    • Github.com/yeyintminthuhtut/Awesome-Red-Teaming
  • Paranoia
    • Find it
    • Contain it
    • Remediate it
  • Digital Forensics and Incident Response
    • DFIR knowledge equips a hunter with the foresight of knowing where to look for suspicious or anomalous behaviors and artifacts
    • Tools
      • Autopsy
      • Yara
      • Rekall
      • Wireshark
      • Elastic Database

Hunting

  • Searching != Hunting
    • Searching is more tactical
      • Point-in-time value
      • More based on IOCs
      • Yes or no answers
      • Third-party intelligence
      • Quick answers to immediate concerns
    • Hunting is more strategic
      • Continuing value
      • Unique network knowledge
      • Scientifically postulated and tested
      • Iterative process
  • Creating a hypothesis
    • What data is accessible/indexed/searchable
    • What information is within the data
    • What external information can I inject into a search
    • Where should the search focus?
  • How are you accounting for normal?
  • Does the query make it hard to filter out normal?
  • How useful are the results?
That's is for my notes from the lab, one last piece I have is a graphic from the powerpoint that I thought was a good visual so I grabbed a screenshot of it as you can see below
All right belong to SentinelOne for the picture, I'm not trying to steal their stuff.