AgentReadyHomeAgent ListingPricing

← GoWanders

GoWanders — agentic threat model

6.8AIVSS 6.8 · Medium

GoWanders presents a low-to-moderate agentic risk profile, primarily acting as an advisory itinerary builder with affiliate integrations. The main security concerns involve prompt injection leading to malicious travel recommendations or affiliate link hijacking, rather than autonomous financial or system-level execution.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 1.5Factor sum 3.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.30
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.10
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 — likely utilizes commercial LLMs to power its itinerary builder. Vulnerable to prompt injection that could manipulate travel recommendations or inject malicious URLs into generated itineraries.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — relies on curated travel guides, local insights, and user-saved spots. Vulnerable to data poisoning of the curated knowledge base or unauthorized access to users' saved personal travel itineraries.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates planning tools and real-time adaptability. Vulnerable to insecure tool integration, particularly if the itinerary builder dynamically queries external APIs without strict input validation.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a closed-source web application. Standard web application vulnerabilities apply, including potential API exposure and lack of sandboxing for external integrations.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of evaluation frameworks, guardrails, or observability tools to monitor LLM outputs for drift, bias, or malicious injections.

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

Not certain from the listing — no explicit compliance certifications (e.g., SOC2, GDPR) or data privacy controls are detailed for handling user location and travel preferences.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — integrates with third-party affiliate networks for tours, stays, and rentals. Vulnerable to supply chain risks or malicious redirects if these external affiliate APIs are compromised.

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.