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Whisper AI — agentic threat model

7.7AIVSS 7.7 · High

Whisper AI is a low-autonomy utility agent focused on speech-to-text transcription within a browser extension. Its primary security risks stem from its access to sensitive audio inputs and DOM injection capabilities rather than complex agentic planning or multi-agent coordination.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.2Factor sum 0.8/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.00
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.30
Opacity & Reflexivity
0.10

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.

L1 · Foundation Models✓ mapped

Uses Whisper or similar speech-to-text foundation models. Vulnerable to adversarial audio inputs designed to manipulate transcription outputs or trigger downstream injection attacks if the text is fed into other LLMs.

L2 · Data Operations✓ mapped

Processes audio data directly in the browser. Risks include unauthorized local storage access, data exfiltration of raw audio or transcribed text, and lack of clear data retention policies for browser-cached voice notes.

L3 · Agent Frameworks✓ mapped

Lacks a complex agent orchestration framework. The primary risk is insecure DOM injection where transcribed text is inserted into active web pages, potentially leading to Cross-Site Scripting (XSS) if inputs are not sanitized.

L4 · Deployment & Infrastructure✓ mapped

Deployed as a Chrome extension. Vulnerabilities include extension sandbox escape, insecure storage of API keys (if using cloud-based Whisper APIs), and the risk of malicious extension updates compromising browser permissions.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no built-in evaluation, guardrails, or observability mechanisms are mentioned for monitoring transcription accuracy or detecting malicious audio payloads.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — while the open-source nature allows for public code audits, there is no explicit mention of compliance certifications (e.g., SOC2, HIPAA) or formal identity and access management controls.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — the agent operates as a standalone browser utility and does not appear to participate in multi-agent ecosystems or third-party agent marketplaces.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).