Whisper Web — agentic threat model
Whisper Web operates primarily as a client-side, browser-based transcription and summarization utility with low agentic risk, though it processes sensitive user-uploaded audio and document exports.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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.
Utilizes OpenAI Whisper (and potentially other LLMs for summaries/translation). Primary threats include adversarial audio inputs designed to cause transcription bypass, hallucinated summaries, or prompt injection via audio-to-text translation.
Processes user-uploaded audio, video, and media URLs. Since WebGPU is mentioned, much processing may happen locally in-browser, reducing server-side data exposure, but local storage/caching of transcripts poses a local data exfiltration risk.
Not certain from the listing — orchestration appears limited to sequential transcription, translation, and document generation (TXT, SRT, PDF, etc.). Insecure tool integration risks are low as there are no active external write APIs described.
Leverages WebGPU for browser-based acceleration. Infrastructure risks are primarily client-side browser sandbox escapes, cross-site scripting (XSS) via malicious transcript rendering, or insecure handling of media URLs.
Not certain from the listing — no explicit mention of transcription accuracy monitoring, guardrails against toxic content in source audio, or logging of translation drift.
Not certain from the listing — lacks explicit details on compliance (e.g., GDPR, HIPAA) for processing sensitive voice data, or access control mechanisms for multi-user accounts.
The agent operates as a standalone utility with no multi-agent coordination or marketplace ecosystem integration described, making ecosystem risks negligible.
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 — every score is re-derived by the same automated method as an agent's public evidence changes.