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CueCue — agentic threat model

6.1AIVSS 6.1 · Medium

CueCue is a deterministic no-code SaaS platform for digital business cards and link-in-bio hubs with virtually no agentic properties or AI-specific risks. Its primary security risks are traditional web application vulnerabilities, such as unauthorized content modification leading to phishing or link redirection.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.1AARS uplift 0.04Factor sum 0.1/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.00
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.00
Persistent Memory
0.10
Contextual Awareness
0.00
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.00
Opacity & Reflexivity
0.00

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 — CueCue appears to be a traditional no-code SaaS platform for digital business cards rather than an LLM-powered agent, so foundation model threats like adversarial prompt injection or model stealing are likely not applicable.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform stores user contact details, links, and RSVP responses, but there is no indication of RAG, vector databases, or training data pipelines that would be subject to poisoning or embedding inversion.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — There is no evidence of an orchestration framework (e.g., LangChain, AutoGen) or autonomous tool-calling capabilities; the system operates via standard web UI inputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Standard web hosting and API infrastructure are assumed. Threats include typical web app vulnerabilities (e.g., XSS, broken access control on card updates) rather than AI sandbox escapes.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No AI-specific evaluation, guardrails, or drift detection are mentioned, as the platform functions as a deterministic visual editor.

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

Not certain from the listing — Standard authentication and authorization are required to protect user accounts and prevent unauthorized card modifications, but specific compliance certifications (e.g., GDPR, SOC2) are not detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The platform does not participate in a multi-agent ecosystem or marketplace; it functions as a standalone horizontal SaaS tool.

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