Circle Crop Image — agentic threat model
Circle Crop Image is a static, browser-based utility rather than an active AI agent, presenting virtually zero agentic risk. Its primary security considerations are standard web application vulnerabilities (such as XSS) rather than AI-specific threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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 tool does not appear to use any foundation models or LLMs, as it is described as a simple browser-based image cropping utility.
Not certain from the listing — There is no indication of data operations, vector databases, or RAG; processing occurs entirely within the user's browser.
Not certain from the listing — No agent frameworks, planning orchestration, or tool-calling capabilities are mentioned or required for this static utility.
Not certain from the listing — While hosted on the web, the infrastructure details are unspecified, though browser-based processing minimizes server-side attack surfaces.
Not certain from the listing — No AI observability, evaluation, or guardrail mechanisms are mentioned, which is typical for a deterministic client-side tool.
Not certain from the listing — No security compliance frameworks or identity management are detailed, though privacy is inherently aided by local browser-based processing.
Not certain from the listing — There is no evidence of multi-agent ecosystem integration, API connections, or agent-to-agent communication.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).