Voicebox — agentic threat model
Voicebox is a local-first, open-source voice studio with low direct autonomy but significant downstream risk due to its voice-cloning capabilities and integration with external MCP-aware agents, which could be abused for deepfakes or vishing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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.
Uses 7 local TTS engines and STT models. Primary threats include adversarial audio inputs designed to exploit STT parsers, and the potential for model tampering if local model files are modified by other local processes.
Processes highly sensitive voice cloning data and audio captures locally. Threats include unauthorized local access to stored voice biometric templates and lack of encryption on local voice-clone artifacts.
Integrates with the Model Context Protocol (MCP). Insecure tool integration could allow malicious local or remote MCP clients to silently trigger voice generation or capture audio without explicit user consent.
Runs as a local-first desktop application with global hotkey capabilities. Threats include local privilege escalation, keystroke logging vulnerabilities via the hotkey listener, and insecure local socket communication for MCP.
Not certain from the listing — there is no mention of built-in guardrails to detect or block the generation of unauthorized deepfakes, nor any logging/audit trail of voice generation activities.
Not certain from the listing — as an open-source, local-first project, it likely lacks formal compliance certifications (e.g., GDPR/CCPA voice data consent mechanisms) or enterprise-grade access controls.
Exposes voice generation capabilities to the broader MCP agent ecosystem. Rogue or compromised external agents could abuse Voicebox to perform automated social engineering (vishing) using the user's cloned voice.
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.