~/talk

Formulating An Intelligence-Driven Threat Hunting Methodology

Talkat 34th Annual FIRST Conference 2022 · 2022-06-26..07-01· [security]
links:none on file
slides:none on file

Proposes an operational, intelligence-driven hunting loop that ties adversary operations, visibility gaps, and organizational risk into testable hypotheses, then turns successful hunts into automated detections. Gives concrete examples: business email compromise detected by email header/DKIM analysis; ransomware chains using IcedID, Cobalt Strike and PsExec with a measured ~3.5-hour time-to-ransom from initial compromise to payload. Recommends instrumenting host, network, and artifact telemetry, hunting where gaps allow, and translating validated hunt queries into detection engineering.

AI-written summary · about

  1. 0:00Introduction to threat hunting
  2. 1:30Defining threat hunting
  3. 3:25Prerequisites for hunting
  4. 5:16Visibility and hypothesis testing
  5. 6:44Formulating testable hypotheses
  6. 9:13Understanding adversary operations
  7. 11:22Data sources and telemetry
  8. 13:57Bridging visibility gaps
  9. 15:50Risk-based prioritization
  10. 17:22Hunting example: BEC
  11. 19:15Hunting example: Ransomware
  12. 23:40From hunting to detection
  13. 25:28Conclusion and takeaways
  14. 26:06Q&A session
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