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← TrueSource.AI

TrueSource.AI — agentic threat model

7.6AIVSS 7.6 · High

TrueSource.AI presents a moderate agentic risk primarily centered on its ability to write back to and publish across e-commerce channels. Unauthorized catalog modification, inventory tampering, or AI-generated SEO spam represent the most direct operational impacts if compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.4AARS uplift 1.15Factor sum 3.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.00
Multi-Agent Interactions
0.10
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 foundation models used for text generation and categorization are undisclosed. Threats include prompt injection leading to corrupted product descriptions or misaligned SKU generation.

L2 · Data Operations✓ mapped

Ingests and processes sensitive e-commerce catalog data, including SKUs, inventory levels, and pricing formats. Threats include data poisoning via malicious catalog imports and unauthorized exfiltration of proprietary product data.

L3 · Agent Frameworks✓ mapped

Orchestrates scanning, normalization, and enrichment workflows. Threats include insecure tool integration where automated enrichment tools write corrupted or malicious data back to the central catalog database.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted as a closed-source SaaS platform. Threats include container compromise or exposure of API keys used to connect to downstream e-commerce platforms.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — While the tool provides data-quality reporting for catalogs, its internal LLM observability and guardrails against hallucinated SEO content are not detailed.

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

Not certain from the listing — No specific compliance certifications (e.g., SOC2) or identity governance policies are detailed for managing user access to catalog publishing tools.

L7 · Agent Ecosystem✓ mapped

Integrates with external e-commerce channels to publish catalog updates. Threats include cascading failures where corrupted or poisoned catalog data is pushed automatically to multiple downstream marketplaces.

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. Are you the vendor? Factual corrections are free.