Livephoto.Online — agentic threat model
Livephoto.Online is a local, browser-based media conversion utility with virtually zero agentic risk, as it lacks autonomous planning, LLM integration, or server-side data processing.
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 LLMs or neural models; it relies on FFmpeg compiled to WebAssembly for local media processing.
All data operations occur locally in the user's browser sandbox. There are no remote vector stores, training pipelines, or data ingestion risks, eliminating data exfiltration and poisoning vectors.
Not certain from the listing — Despite the 'AI Agents Frameworks' tag, there is no evidence of an orchestration framework, planning loops, or LLM tool-calling mechanisms.
Deployed as a static web application running in the client's browser. The primary infrastructure threat is front-end compromise (e.g., malicious JS injection/XSS) rather than server-side container escape.
Not certain from the listing — There are no active LLM guardrails, evaluation frameworks, or monitoring tools mentioned, which is expected for a local, deterministic utility.
Compliance risk is extremely low because no user data is uploaded, stored, or processed on external servers, aligning well with strict privacy regulations (GDPR/CCPA).
No multi-agent interactions, marketplace integrations, or external agent dependencies exist for this standalone browser tool.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).