Zenor AI — agentic threat model
Zenor AI presents a moderate security risk as a customer-facing multimodal Shopify assistant. Its primary exposure lies in handling user-uploaded media (photos/voice) and interacting with Shopify APIs, which could be targeted for prompt injection, data exfiltration, or unauthorized cart manipulation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.60 |
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.
Uses multimodal foundation models to process text, voice, and photo inputs. This exposes the agent to multimodal adversarial attacks, such as malicious prompt injections embedded in images (photo inputs) or voice command hijacking.
Integrates with Shopify store data (product catalogs, customer details, and support FAQs). Threats include catalog data poisoning, unauthorized exfiltration of customer PII, and RAG manipulation via poisoned product descriptions.
Orchestrates actions like product search, cart management, and support ticketing. Vulnerabilities include insecure tool calling where malicious user inputs trick the agent into executing unauthorized Shopify API actions.
Not certain from the listing — likely hosted as a closed-source SaaS integration. Standard threats include container escape, insecure API endpoints connecting to Shopify, and lack of sandboxing for processing user-uploaded files.
Not certain from the listing — no details are provided regarding input/output guardrails, anomaly detection for malicious uploads, or logging of agent decisions and tool executions.
Not certain from the listing — presumably relies on Shopify's OAuth and session management for customer identity, but specific compliance certifications (e.g., PCI-DSS, SOC2) or data privacy policies are not detailed.
Not certain from the listing — operates primarily as a standalone horizontal Shopify assistant; multi-agent interactions or ecosystem-level cascading failures are not indicated.
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.