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WhatsMyName App — agentic threat model

5.5AIVSS 5.5 · Medium

WhatsMyName App is a static OSINT utility rather than an active AI agent, presenting extremely low agentic risk due to its lack of LLM orchestration, planning, or autonomous decision-making capabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 0.17Factor sum 0.4/10Threat ×0.9Mitigation ×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
0.00
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.10
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⚠ not certain from listing

Not certain from the listing — The application appears to be a traditional rule-based OSINT script querying predefined web endpoints rather than utilizing a foundation model. If any LLM is used, it is not documented.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — There is no indication of RAG, vector databases, or training data operations. The primary data asset is a static configuration file containing detection patterns for 700+ websites.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The tool does not appear to use an agentic orchestration framework. It executes a straightforward, single-purpose script to check username availability across a hardcoded list of sites.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted as a free web-based interface. Infrastructure risks are limited to standard web application vulnerabilities, such as Server-Side Request Forgery (SSRF) if the scanning engine can be manipulated to target internal networks.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No AI-specific observability, evaluation, or guardrail frameworks are mentioned. Monitoring is likely limited to standard web server access logs.

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

Not certain from the listing — The tool requires no account or authentication. While it accesses only public OSINT data, automated scraping of 700+ sites may occasionally conflict with individual platform Terms of Service.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The application operates as a standalone horizontal utility with no multi-agent interactions, marketplace integrations, or agent-to-agent trust boundaries.

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.