ShopMaven AI — agentic threat model
ShopMaven AI is a low-to-moderate risk conversational shopping assistant focused on product discovery. Its primary security risks stem from potential prompt injection manipulating product recommendations and the lack of visible security controls in its closed-source, SaaS-based deployment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
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.
Not certain from the listing — likely utilizes a third-party foundation model for natural language understanding. Primary threats include prompt injection that could hijack the conversational interface to output offensive content or misrepresent the host brand.
Not certain from the listing — relies on a dynamic catalog and real-time insights. Threats include catalog data poisoning or manipulation of the product database, leading to fraudulent or malicious product recommendations.
Not certain from the listing — uses an orchestration layer to map user intent to catalog queries. Threats include insecure tool integration if the catalog search parameters can be manipulated to expose hidden inventory or system data.
Not certain from the listing — likely deployed as a cloud-hosted SaaS widget embedded on e-commerce sites. Threats include cross-site scripting (XSS) via the chat widget and unauthorized API access to the underlying tenant configuration.
Not certain from the listing — no guardrails or observability tools are mentioned. This creates a blind spot where malicious user inputs or model hallucinations go undetected by the hosting business.
Not certain from the listing — being closed-source and free, there are no explicit details regarding data privacy, GDPR compliance, or secure identity and access management for catalog updates.
Not certain from the listing — operates primarily as a standalone customer-facing assistant. Ecosystem risks are minimal unless it integrates directly with external payment gateways or third-party delivery agents.
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.