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threat-modeling-expert — agentic threat model

6.6AIVSS 6.6 · Medium

The agent acts as a passive security advisor with low autonomy, but poses a moderate confidentiality risk due to its handling of sensitive system architecture designs and threat models.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.5AARS uplift 1.12Factor sum 2.5/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.20
Persistent Memory
0.10
Contextual Awareness
0.50
Dynamic Identity
0.10
Multi-Agent Interactions
0.20
Non-Determinism
0.40
Opacity & Reflexivity
0.30

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 — likely relies on third-party foundation models. Threats include prompt injection to bypass security analysis or force the model to generate biased, weak, or intentionally flawed threat models.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely ingests architecture designs, codebases, or documentation. Threats include data exfiltration of highly sensitive system designs, or knowledge-base poisoning to make the agent ignore specific vulnerabilities.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — as an 'Agent Skill', it integrates into an orchestration framework. Threats include insecure tool integration if it calls external parsers for architecture diagrams, or framework vulnerabilities allowing execution of malicious payloads embedded in design docs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as an open-source skill. Threats include container compromise if run in an unsandboxed environment, or exposure of the API hosting the skill.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no built-in evaluation or guardrails mentioned. Threats include blind spots where the model fails to identify critical threats, or lack of audit logs for security reviews.

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

Not certain from the listing — lacks explicit authentication or access controls in the description. Threats include unauthorized access to sensitive threat models and lack of regulatory compliance (e.g., GDPR/NIST) regarding design data.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — could be used in multi-agent setups for automated dev pipelines. Threats include rogue agents querying this skill to find zero-days in a system, or cascading failures if its threat reports are automatically ingested by patching agents.

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