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Woz — agentic threat model

9.4AIVSS 9.4 · Critical

Woz operates with high autonomy to generate, deploy, and maintain software and business infrastructure, presenting a significant risk profile if compromised due to its integration with third-party tools and code execution capabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.93Factor sum 5.9/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.80
Self-Modification
0.30
Dynamic Tool Use
0.80
Persistent Memory
0.60
Contextual Awareness
0.60
Dynamic Identity
0.20
Multi-Agent Interactions
0.30
Non-Determinism
0.70
Opacity & Reflexivity
0.80

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 underlying foundation models are not specified, leaving the platform vulnerable to standard LLM risks such as prompt injection, adversarial reprogramming, or model-inherent biases that could affect code generation.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — There is no detail on how user business ideas, proprietary code, or operational data are stored, partitioned, or protected against data exfiltration and knowledge-base poisoning.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — While the agent performs software development and bug fixing, the orchestration framework is undisclosed, raising concerns about insecure tool integration and potential execution of malicious code during the development lifecycle.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting, sandboxing, and secrets management mechanisms for executing generated code and managing third-party integrations are not described, presenting risks of container escape or privilege escalation.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No evaluation, monitoring, or logging guardrails are mentioned, which could lead to blind spots in detecting anomalous agent behavior or malicious code injections.

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

Not certain from the listing — The platform is closed-source and paid, but does not cite specific compliance certifications (e.g., SOC2, ISO) or identity and access management controls governing the generated business infrastructure.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The platform integrates with third-party business tools and services, but the security of these external connections and the potential for cascading failures across the integrated ecosystem remain unverified.

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