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SparkIcon AI — agentic threat model

5.9AIVSS 5.9 · Medium

SparkIcon AI is a low-risk, single-purpose creative assistant with minimal agentic autonomy, primarily exposed to prompt injection and standard web application vulnerabilities rather than complex orchestration exploits.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 0.59Factor sum 1.4/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.50
Opacity & Reflexivity
0.30

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 utilizes a text-to-image foundation model (e.g., Stable Diffusion or DALL-E) coupled with a text LLM for prompt optimization. Primary threats include adversarial prompt injection to bypass safety filters and model reprogramming.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — relies on style-specific training data or fine-tuning weights for icon generation. Key threats include data poisoning of style datasets and intellectual property or licensing/provenance gaps in the training imagery.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestration is limited to prompt expansion and variant generation. Threats include prompt injection that hijacks the optimization framework to generate unintended outputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a closed-source web application. Threats include standard web infrastructure risks, denial of service during heavy image generation, and potential server-side request forgery (SSRF) via custom export features.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no observability or evaluation guardrails are mentioned. Gaps in output monitoring could allow the generation of offensive, copyrighted, or policy-violating imagery.

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

Not certain from the listing — operates under a closed-source freemium model with no explicit security compliance certifications (e.g., SOC2, GDPR) or detailed access control policies described.

L7 · Agent Ecosystem✓ mapped

The agent operates as a standalone vertical tool with no multi-agent coordination or marketplace integrations, resulting in negligible ecosystem-level threats.

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.