DotCurio — agentic threat model
DotCurio is a standard web application with zero agentic capabilities, presenting minimal AI-specific security risks. Its threat profile is equivalent to a traditional web directory, with risk limited to standard web vulnerabilities and manual content moderation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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 — The application is a directory for AI products but does not appear to use foundation models internally for its core search and comparison features.
Not certain from the listing — Standard database storage is used for user accounts and product listings, but there is no indication of vector databases, RAG, or AI-specific data pipelines.
Not certain from the listing — The application explicitly lacks autonomous behavior, orchestration, or tool-calling frameworks, making agent framework threats inapplicable.
Not certain from the listing — Standard web hosting infrastructure is assumed, exposing it to typical web application vulnerabilities rather than AI-specific infrastructure risks.
Not certain from the listing — No AI-specific evaluation, guardrails, or LLM observability tools are mentioned, as the system relies on manual human review for submissions.
Not certain from the listing — Standard web security controls (access control, authentication for makers) are implied, but specific compliance frameworks or security certifications are not detailed.
Not certain from the listing — The application does not participate in multi-agent ecosystems or autonomous marketplace transactions, restricting ecosystem risks to static external links.
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.