avavox AI Voice Agent — agentic threat model
avavox AI Voice Agent presents a high-risk profile due to its integration with public telephony, SMS gateways, and voice cloning capabilities, which could be abused for automated vishing, financial fraud, or credential harvesting if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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 mainstream models such as DeepSeek, Qwen, and Doubao. Risks include adversarial prompt injection via voice-to-text inputs, model misalignment, and potential data leakage from vertical model training.
Handles sensitive customer data including phone numbers, call transcripts, and voice cloning profiles. Risks include unauthorized exfiltration of voice templates and poisoning of vertical training datasets.
Utilizes Function Call integration and triggers actions like hang-up SMS. Risks include tool misuse where an attacker manipulates the agent into sending unauthorized SMS messages or executing arbitrary API functions.
Not certain from the listing — general risks include container or host compromise of the telephony gateway, exposure of API keys for LLM providers, and SIP/telephony infrastructure hijacking.
Not certain from the listing — general risks include blind spots in real-time voice guardrails (failing to detect prompt injection over audio) and insufficient logging of anomalous outbound call patterns.
Not certain from the listing — general risks include lack of explicit compliance frameworks (e.g., GDPR, HIPAA, PCI-DSS) for recording financial/collection calls, and potential legal issues surrounding voice cloning consent.
Not certain from the listing — general risks include cascading failures if the agent is integrated with external CRM/ERP systems, or trust abuse if the voice agent interacts with other automated business agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).