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TariffCatalog — agentic threat model

7.5AIVSS 7.5 · High

TariffCatalog presents moderate agentic risk due to its integration with e-commerce platforms (Shopify, WooCommerce, Amazon) and its role in calculating financial duties and drafting customs documents, though it operates primarily as a read-heavy, advisory tool.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.4AARS uplift 1.1Factor sum 2.9/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.20
Contextual Awareness
0.60
Dynamic Identity
0.10
Multi-Agent Interactions
0.10
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 — relies on underlying LLMs for HS code classification and document drafting, making it vulnerable to prompt injection that could misclassify goods to evade tariffs or manipulate duty estimations.

L2 · Data Operations✓ mapped

Processes product catalogs (Shopify, WooCommerce, Amazon, CSV). Vulnerable to data poisoning if malicious product descriptions are injected to force incorrect HS code mappings or exploit parsing logic.

L3 · Agent Frameworks✓ mapped

Orchestrates catalog ingestion, HS code lookup, and document drafting. Risks include insecure tool integration with e-commerce APIs and potential injection via malformed catalog data leading to unauthorized API calls.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — requires secure storage of e-commerce API keys and credentials. Insecure deployment could lead to credential theft or unauthorized access to the connected Shopify/WooCommerce/Amazon stores.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — requires robust logging and guardrails to detect systematic misclassifications or anomalous duty estimations that could indicate exploitation or model drift.

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

Not certain from the listing — handling of commercial catalog data and customs documentation requires strict compliance with trade regulations and data privacy standards, but specific compliance certifications are not detailed.

L7 · Agent Ecosystem✓ mapped

Interacts with external e-commerce ecosystems (Shopify, WooCommerce, Amazon). Vulnerabilities in these third-party platforms or their API integrations could expose the agent to cascading security failures.

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

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.