Taxy AI — agentic threat model
Taxy AI presents a high agentic risk due to its full browser automation capabilities, which allow it to interact dynamically with web applications using the user's active sessions, potentially leading to unauthorized actions or data exfiltration if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 — The specific foundation models driving the browser automation are not disclosed, leaving potential vulnerabilities to model-specific adversarial prompt injections unverified.
Not certain from the listing — There is no information regarding how data operations, vector stores, or local browser caches are secured against data exfiltration or poisoning.
Taxy AI orchestrates browser actions (DOM parsing, clicking, typing). The primary threat is tool misuse, where malicious prompt injection could hijack the browser agent to perform unauthorized actions, click malicious links, or exfiltrate session data.
Not certain from the listing — As an open-source browser agent, deployment is likely local, but the presence of sandboxing or containerization to prevent host compromise is unspecified.
Not certain from the listing — No logging, guardrails, or real-time monitoring mechanisms are detailed to detect anomalous browser behavior or malicious actions.
Not certain from the listing — There are no explicit security policies, identity access management controls, or compliance frameworks mentioned for governing the browser automation.
Not certain from the listing — The agent is described as a standalone browser automation tool with no indicated multi-agent or ecosystem integration features.
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.