Sam's List — agentic threat model
Sam's List is a low-risk, open-source directory agent designed to connect users with financial professionals, presenting minimal agentic risk due to its limited autonomy, lack of execution capabilities, and focus on search and retrieval.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 uses standard LLMs for semantic search or natural language queries to match users with accountants, exposing it to basic prompt injection or misaligned output risks.
Not certain from the listing — likely relies on a database of accountant profiles and user search queries, where data poisoning of directory listings is the primary risk.
Not certain from the listing — likely a simple search/retrieval orchestration rather than a complex agentic framework, minimizing tool misuse risks.
Not certain from the listing — open-source nature suggests self-hosting or standard web hosting, with typical web application vulnerabilities rather than complex sandboxing requirements.
Not certain from the listing — no mention of monitoring, logging, or guardrails for search queries or user-accountant matching interactions.
Not certain from the listing — open-source directory with no explicit compliance certifications or access controls mentioned, though PII handling of user inquiries may require GDPR/CCPA alignment.
Not certain from the listing — operates as a standalone directory tool with no multi-agent or marketplace ecosystem interactions described.
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.