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Crazy Selfie AI — agentic threat model

5.0AIVSS 5.0 · Medium

Crazy Selfie AI is a low-risk, single-purpose image generation tool with minimal agentic capabilities, posing risks primarily related to user data privacy (uploaded photos) and potential generation of inappropriate content rather than systemic or operational threats.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 0.72Factor sum 1.4/10Threat ×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
0.10
Contextual Awareness
0.10
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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 uses a fine-tuned diffusion model (e.g., Stable Diffusion, ControlNet). Threats include adversarial inputs to bypass safety filters, model extraction, or generating NSFW/deepfake content.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — requires temporary storage of uploaded user photos. Threats include data leakage of user photos, lack of secure deletion, or poisoning of the fine-tuning dataset if user images are used for training.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — likely a simple API wrapper rather than an agentic framework. Threats are minimal due to lack of tool execution, memory, or complex planning.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted on cloud infrastructure (GPU instances). Threats include server-side request forgery (SSRF) via image URL uploads (if supported) or typical web app vulnerabilities.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of content moderation guardrails or output filtering. Threats include generation of offensive or copyrighted imagery without detection.

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

Not certain from the listing — no privacy policy or compliance certifications (GDPR/CCPA) detailed. Threats include unauthorized processing of biometric data (facial images).

L7 · Agent Ecosystem✓ mapped

The listing describes a standalone consumer application with no multi-agent or marketplace integrations, meaning ecosystem threats are currently non-existent.

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