AI Gradio Browser — agentic threat model
The AI Gradio Browser presents a moderate-to-high risk profile due to its browser automation capabilities, which are highly susceptible to indirect prompt injection from untrusted web content, potentially leading to unauthorized actions or data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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 — The underlying foundation models are not specified in the directory listing, but as a Python package, it likely supports various configurable LLMs, exposing it to standard LLM risks like prompt injection, adversarial manipulation, and misaligned outputs during web browsing.
Not certain from the listing — No specific vector database or RAG pipeline is detailed, though the agent processes real-time web data which could introduce untrusted external content (data poisoning via web scraping).
The agent framework orchestrates browser automation and tool execution (web scraping, navigation). This introduces high risks of tool misuse, prompt injection via web page content (indirect prompt injection), and insecure tool integration if the browser automation is not strictly sandboxed.
Not certain from the listing — The deployment depends on the developer's environment hosting the Gradio app and Python package. If run locally or in un-sandboxed containers, browser automation could lead to local network probing or host compromise.
Not certain from the listing — No built-in evaluation, logging, or guardrail mechanisms are mentioned in the description, suggesting a potential blind spot in monitoring agent actions in real-time.
Not certain from the listing — There is no mention of built-in authentication, authorization, or compliance controls within the Gradio interface or the Python package itself.
Not certain from the listing — The description focuses on single-agent web automation tasks and does not explicitly mention multi-agent coordination or marketplace integrations.
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.