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Autonomous Security Agents: The Raptor Framework

Exploring the architecture of offensive/defensive security agents, focusing on the RAPTOR framework for recursive penetration testing.

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The RAPTOR Architecture

RAPTOR (Recursive Autonomous Penetration Testing and Observation Robot) utilizes a recursive approach to explore and exploit systems.

Core Components#

Observation Module#

  • Uses tools like nmap, ffuf, or custom scripts to gather initial data.
  • Feeds this data into the agent's context.

Analysis Engine (The "Brain")#

  • Powered by a high-reasoning model (e.g., Claude 3.5 Sonnet, GPT-4o).
  • Analyzes observations to identify potential weaknesses.
  • Formulates hypotheses (e.g., "This input field might be vulnerable to SQLi").

Action Module#

  • Generates specific payloads or scripts to test the hypothesis.
  • Executes the test and captures the output.

Recursive Loop#

  • If a test reveals new information (e.g., a new directory or error message), the agent recurses, treating this new state as a starting point for further exploration.
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