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dispatching-parallel-agents (superpowers) — agentic threat model

8.4AIVSS 8.4 · High

This agent acts as a multi-agent orchestrator, introducing significant risk of cascading failures and trust abuse across parallel sub-agents if the central decomposition or reconciliation logic is compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.31Factor sum 5.0/10Threat ×1.05Mitigation ×0.95
Autonomy of Action
0.70
Goal-Driven Planning
0.80
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.20
Multi-Agent Interactions
0.90
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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 specific underlying foundation models used by the orchestrator or its sub-agents are not disclosed, leaving potential model-level vulnerabilities (e.g., prompt injection, adversarial manipulation) unaddressed.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — there is no mention of data storage, vector databases, or RAG operations used during the decomposition or reconciliation phases.

L3 · Agent Frameworks✓ mapped

The agent's core framework handles task decomposition and reconciliation. Vulnerabilities here include logic flaws in how tasks are split, insecure handling of sub-agent outputs, and potential prompt injection during the reconciliation phase that could compromise the orchestrator.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — while it mentions orchestrating 'within the harness', the specific hosting, sandboxing, and network isolation controls for the parallel sub-agents are not detailed.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no explicit mention of logging, evaluation metrics, or real-time guardrails to monitor the parallel execution and detect anomalous sub-agent behavior.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — although 'contract-locked coordination' implies structural constraints, there are no details on authentication, authorization, or compliance standards governing the sub-agent interactions.

L7 · Agent Ecosystem✓ mapped

This layer is highly critical as the agent's primary function is multi-agent coordination. Threats include agent-to-agent trust abuse, where a compromised sub-agent returns malicious payloads that exploit the reconciliation engine, leading to cascading failures across the ecosystem.

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