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Ringly.io — agentic threat model

9.3AIVSS 9.3 · Critical

Ringly.io presents a high agentic risk profile due to its direct integration with e-commerce platforms (Shopify/WooCommerce) and its ability to perform autonomous inbound/outbound voice operations. A compromise could lead to unauthorized transactional actions, PII leakage, and automated toll fraud or voice spam.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.83Factor sum 5.3/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.50
Contextual Awareness
0.70
Dynamic Identity
0.30
Multi-Agent Interactions
0.20
Non-Determinism
0.70
Opacity & Reflexivity
0.60

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⚠ not certain from listing

Not certain from the listing — likely relies on third-party LLMs and speech-to-text/text-to-speech APIs. Primary threats include voice prompt injection (VPI), adversarial audio inputs, and model misalignment leading to inappropriate customer interactions.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — accesses customer databases, order histories, and product catalogs via Shopify/WooCommerce. Threats include unauthorized data exfiltration of customer PII, order manipulation, and database injection via sync mechanisms.

L3 · Agent Frameworks✓ mapped

Orchestrates voice calls, cart recovery, and tool execution. Insecure tool integration is a major threat, where prompt injection during a call could trick the agent into executing unauthorized API calls (e.g., issuing refunds or modifying orders).

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — operates as a hosted SaaS platform handling telephony (SIP/VoIP) and webhooks. Threats include SIP hacking, toll fraud via unauthorized outbound calling, and exposure of API keys used for e-commerce integrations.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — requires robust real-time guardrails to prevent the agent from making unauthorized financial commitments (e.g., promising free items) during live calls, as well as comprehensive call transcript logging and drift detection.

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

Not certain from the listing — handles sensitive customer PII and voice recordings, necessitating compliance with GDPR, CCPA, and PCI-DSS. The listing does not specify security certifications or access control mechanisms.

L7 · Agent Ecosystem✓ mapped

Integrates with over 7,000 tools (e.g., via Zapier/Make). This massive integration surface introduces significant ecosystem risks, including cascading failures, compromised upstream/downstream APIs, and unauthorized cross-application data flows.

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.