Starizon AI — agentic threat model
Starizon AI presents a moderate-to-high risk profile primarily due to its deployment as a browser assistant with data extraction capabilities, making it highly susceptible to indirect prompt injection and sensitive data exfiltration from active user sessions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| 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.
Not certain from the listing — likely relies on commercial LLMs via API for chat and summarization, exposing it to prompt injection and model misalignment.
Not certain from the listing — extracts data from user-visited webpages, creating risks of data poisoning via malicious web content (indirect prompt injection) and potential data exfiltration of sensitive browser data.
Not certain from the listing — orchestrates browser-level actions and tracking. Vulnerable to tool misuse or insecure tool integration if the agent can execute arbitrary browser actions or scripts.
Not certain from the listing — likely deployed as a browser extension or web app. Risks include local storage exposure, extension privilege escalation, and lack of sandboxing against malicious DOM elements.
Not certain from the listing — no mention of built-in guardrails, logging, or drift detection for web monitoring tasks.
Not certain from the listing — no explicit compliance certifications (like SOC2) or robust identity/access management policies mentioned for data extraction.
Not certain from the listing — primarily operates as a single-user browser assistant with no explicit multi-agent or marketplace 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.