~/talk

CALDERA: Automating Adversary Emulation

Talkat Black Hat Europe 2017 · 2017-12-04..12-07· [security, ai-assisted-development]
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CALDERA is an open source system that automates post‑compromise adversary emulation by encoding MITRE ATT&CK techniques as actions with preconditions and postconditions, planning chains of actions with a heuristic reward to choose the next step. Implementation: Python3 server, C# agents (“rats”), MongoDB, ~30 techniques; demo compromises four Windows hosts end‑to‑end, then auto‑cleans. Planner scales to about 15–20 hosts before planning cost rises. Code and plugins live on GitHub for community extension.

AI-written summary · about

  1. 0:00Introduction
  2. 1:05The False Negative Problem
  3. 8:43The Adversary Model
  4. 10:48Finite State Machine
  5. 11:57Design Requirements
  6. 13:28Example
  7. 17:29Emulation Chaining
  8. 19:59Data Model
  9. 21:54Syntax
  10. 23:10Postconditions
  11. 24:54Hints
  12. 25:59Architecture
  13. 27:46Live Demo
  14. 28:18Software Overview
  15. 28:35Adversary Demo
  16. 29:54Adversary Operation
  17. 34:23Edit Adversary
  18. 38:01Architecture Diagram
  19. 39:30Use Cases
  20. 40:39Open Source
  21. 41:19Tools
  22. 41:41Brawl
  23. 43:37GitHub
  24. 45:28Defense
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