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Speedy Games — agentic threat model

6.2AIVSS 6.2 · Medium

Speedy Games is a static web-widget provider for embeddable slot games rather than an active, autonomous AI agent. Its primary security risks lie in traditional web vulnerabilities, affiliate link hijacking, and iframe-based injection rather than agentic execution failures.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.1AARS uplift 0.08Factor sum 0.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.00
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.00
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 description does not mention any underlying LLM or foundation model usage; the slot widgets appear to be deterministic, standard web-based gaming software rather than generative AI.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — There is no indication of RAG, vector databases, or training data pipelines. The only data handled appears to be affiliate tracking IDs and basic game state configuration.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The product lacks an agentic orchestration framework (such as LangChain or AutoGPT). It functions as a standard embeddable widget with no autonomous tool-calling or planning capabilities.

L4 · Deployment & Infrastructure✓ mapped

The deployment model relies on embedding widgets (likely via iframes or script tags) into third-party CMS platforms like Wix and WordPress. Threats include Cross-Site Scripting (XSS), iframe injection, and unauthorized modification of the hosting CDN.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No AI-specific evaluation, guardrails, or LLM observability tools are mentioned. Standard web analytics and affiliate tracking are likely the only monitoring systems in place.

L6 · Security & Compliance (cross-cutting)✓ mapped

The primary compliance and security concerns involve gambling regulations, age-gating, and the integrity of affiliate link configurations to prevent unauthorized redirection of monetization traffic.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — There are no multi-agent interactions or marketplace integrations described; the widget operates as a standalone client-side element on the host website.

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 — every score is re-derived by the same automated method as an agent's public evidence changes.