When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi
Unit 42 red-teamed Amazon Bedrock multi-agent applications, demonstrating prompt-injection attack chains that leak agent instructions and invoke tools, mitigated by Bedrock Guardrails.
Unit 42 red-teamed Amazon Bedrock Agents' multi-agent collaboration in Supervisor and Supervisor with Routing modes. The demonstrated attack chain detects the operating mode, discovers collaborator agents, delivers attacker-controlled payloads, and can disclose agent instructions and tool schemas and invoke tools with attacker-supplied inputs. No vulnerabilities were found in Bedrock itself, and the built-in prompt attack Guardrail blocked the attacks when properly configured. The researchers collaborated with Amazon's security team and frame the findings as a broader prompt injection risk for LLM-based systems.
- Four-stage chain: detect operating mode, discover collaborators, deliver payloads, trigger exploitation
- Attacks disclose agent instructions and tool schemas and invoke tools with attacker inputs
- No Bedrock vulnerabilities found; built-in prompt attack Guardrail blocked the attacks
- Experiments were run in the authors' own AWS accounts on Bedrock Agents
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From the original article
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By Royce Lu, Jay Chen · unit42.paloaltonetworks.com
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