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consensus-protocols — agentic threat model

9.6AIVSS 9.6 · Critical

This agent acts as a critical coordination and state-synchronization layer for multi-agent swarms, introducing high systemic risk because a compromise of its consensus mechanisms (Raft, BFT, CRDTs) could allow an attacker to hijack the state and decision-making of an entire distributed agent ecosystem.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 1.11Factor sum 6.7/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.30
Dynamic Tool Use
0.50
Persistent Memory
0.90
Contextual Awareness
0.70
Dynamic Identity
0.40
Multi-Agent Interactions
1.00
Non-Determinism
0.80
Opacity & Reflexivity
0.70

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The plugin runs on top of Claude Code (presumably Claude 3.5 Sonnet). The primary threat is that adversarial prompt injection could manipulate an individual agent's vote or consensus proposal, bypassing Byzantine fault tolerance assumptions if multiple agents are compromised via the same model-level vulnerability.

L2 · Data Operations✓ mapped

The agent manages shared state via CRDTs and consensus logs. Threats include state poisoning, where a malicious or compromised agent injects malformed or unauthorized state updates that propagate across the entire swarm via gossip protocols, corrupting the collective memory.

L3 · Agent Frameworks✓ mapped

As a Claude Code plugin, it integrates directly with the developer's local environment and terminal. Vulnerabilities in the plugin's orchestration code, quorum management, or tool-calling logic could allow malicious consensus commands to execute unauthorized local shell commands or file modifications.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment context is local developer machines running Claude Code. If these agents communicate over unencrypted or unauthenticated network channels to establish Raft/gossip consensus, they are highly vulnerable to man-in-the-middle attacks, replay attacks, and unauthorized node joining.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of built-in logging, audit trails, or guardrails for the consensus decisions. A lack of observability makes it difficult to detect split-brain scenarios, sybil attacks, or silent state corruption within the swarm.

L6 · Security & Compliance (cross-cutting)✓ mapped

The listing does not detail any cryptographic identity or authentication mechanisms (e.g., TLS, signatures) for validating votes or state updates. Without robust cryptographic node identity, the consensus protocol is highly vulnerable to Sybil attacks where one actor spins up many virtual agents to dominate the quorum.

L7 · Agent Ecosystem✓ mapped

This layer is highly critical for this agent. It explicitly governs multi-agent swarm coordination. Threats include cascading failures where a single compromised agent exploits the consensus protocol to force malicious state commits across all participating agents, leading to widespread, coordinated rogue behavior.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).