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ProhostAI — agentic threat model

7.9AIVSS 7.9 · High

ProhostAI acts as an automated assistant for vacation rental hosts, introducing risks related to guest PII exposure, unauthorized booking modifications, and potential manipulation of smart lock or check-in instructions if integrated with property management systems.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 1.36Factor sum 3.9/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.50
Contextual Awareness
0.60
Dynamic Identity
0.20
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 underlying foundation models are not specified, but adversarial prompt injection could lead to the agent leaking host secrets, bypass booking policies, or generating inappropriate guest communications.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent likely processes sensitive property details, check-in instructions, and guest PII. Without secure RAG and data isolation, there is a risk of data exfiltration or cross-tenant data leakage.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework is unspecified. Insecure tool integration with Property Management Systems (PMS) or messaging APIs could allow attackers to manipulate bookings or send unauthorized messages.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosting and infrastructure details are absent. Secure storage of API keys for vacation rental platforms (e.g., Airbnb, Guesty) is critical to prevent lateral movement and account takeover.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No observability or guardrail mechanisms are mentioned. Real-time monitoring is necessary to detect hallucinated check-in codes, incorrect pricing, or abusive automated guest interactions.

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

Not certain from the listing — Compliance with privacy regulations (like GDPR/CCPA) is critical due to handling guest PII, but no specific security certifications or access control policies are detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent likely operates within a single-agent paradigm but interacts with external ecosystems (OTAs, PMS, smart lock APIs) where trust boundaries must be strictly enforced.

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.