AgentReadyHomeAgent Listing

← ghibliai.info

ghibliai.info — agentic threat model

4.8AIVSS 4.8 · Medium

GhibliAI is a low-risk, single-purpose image transformation tool with minimal agentic capabilities, presenting virtually no threat of autonomous action or systemic propagation, though standard web application and image-parsing vulnerabilities still apply.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 0.46Factor sum 0.9/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.00
Persistent Memory
0.00
Contextual Awareness
0.10
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.40
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 latent diffusion model (such as Stable Diffusion with a custom LoRA/ControlNet) or a specialized GAN. Primary threats include adversarial image inputs designed to cause model denial of service or bypass safety filters.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — processes user-uploaded images. Threats include unauthorized retention or exposure of user-uploaded photos, and potential data poisoning if user uploads are recycled into future training sets without sanitization.

L3 · Agent Frameworks✓ mapped

This tool does not use an agentic framework; it is a straightforward, single-turn image processing pipeline with no planning, tool-calling, or memory capabilities.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a web application. Key threats include server-side vulnerabilities in image-parsing libraries (e.g., ImageMagick exploits leading to RCE) and infrastructure denial of service due to GPU-heavy processing demands.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no public details on input/output guardrails. Threats include the generation of inappropriate or copyright-infringing content if input validation and output safety classifiers are missing.

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

Not certain from the listing — operates without user sign-up, which minimizes credential theft risk but raises compliance questions (e.g., GDPR/CCPA) regarding the processing and storage of biometric data contained in uploaded user photos.

L7 · Agent Ecosystem✓ mapped

This tool operates in isolation and does not interact with other agents or marketplaces, presenting zero risk of cascading multi-agent failures.

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