JourneyBay — agentic threat model
JourneyBay is a low-risk, informational travel planning agent with minimal autonomy, focusing on itinerary generation and POI visualization without executing real-world transactions or handling sensitive user credentials.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
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 relies on a commercial LLM API. Main threats include prompt injection leading to jailbreaks, generation of inappropriate content, or redirection of users to malicious external travel sites.
Not certain from the listing — integrates with Google Maps API for POIs and potentially local destination guides. Risks include API key exposure, data exfiltration via prompt injection, and potential poisoning of the local destination database if open-source contributions are unvetted.
Not certain from the listing — likely uses a lightweight orchestration framework to translate chat inputs into structured queries for Google Maps. Vulnerable to insecure tool call construction if user inputs are not sanitized before being sent to external APIs.
Not certain from the listing — deployed as a public web application. Risks include standard web application vulnerabilities (e.g., Cross-Site Scripting in the interactive map or chat interface) and denial of service due to the free, registration-free model.
Not certain from the listing — no mention of active guardrails, output filtering, or LLM observability tools. This creates a blind spot for detecting adversarial prompt patterns or system abuse.
Not certain from the listing — the 'no registration required' model inherently mitigates PII storage risks, but the lack of authentication means there are no user-level access controls or audit trails.
Not certain from the listing — operates as a standalone horizontal utility with no apparent multi-agent collaboration or marketplace integrations, minimizing ecosystem-level threats.
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.