RoomHaven — agentic threat model
RoomHaven exhibits a very low agentic risk profile, functioning primarily as a single-turn image-to-image generative utility rather than an autonomous agent. Its primary security risks lie in traditional web application vulnerabilities, image processing exploits, and user data privacy rather than agentic decision-making failures.
OWASP AIVSS score rationale
| 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 | 0.20 | |
| 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.
Not certain from the listing — likely utilizes a latent diffusion model (such as Stable Diffusion) combined with spatial conditioning (ControlNet). Primary threats include adversarial image perturbations designed to bypass safety filters or cause model denial of service, and potential model license non-compliance if commercializing open-source weights.
Not certain from the listing — requires ingestion and processing of user-uploaded room photos. Key threats include insecure storage of user images, failure to strip sensitive EXIF metadata (location, device info) prior to processing, and potential data leakage if user uploads are used to fine-tune future model iterations without consent.
Not certain from the listing — likely uses a minimal pipeline wrapper rather than a complex agentic orchestration framework. Threats are low but include insecure parameter passing from the UI (e.g., style selection strings) to the backend generation script.
Not certain from the listing — requires GPU-accelerated hosting to perform image generation. Threats include remote code execution via vulnerabilities in underlying image processing libraries (e.g., Pillow, OpenCV) and resource exhaustion (denial of service) due to the high computational cost of diffusion steps.
Not certain from the listing — no mention of output monitoring or input validation. Threats include the lack of automated content moderation to detect and block inappropriate, offensive, or non-room images uploaded by users.
Not certain from the listing — being open-source allows public code auditing, but there is no evidence of formal compliance frameworks. Threats include potential GDPR/CCPA violations if user-uploaded photos containing recognizable faces or personal items are stored indefinitely without clear deletion mechanisms.
The agent operates entirely as a standalone, single-user productivity tool. There are no multi-agent interactions, marketplace integrations, or external agent-to-agent dependencies, rendering ecosystem-level cascading threats inapplicable.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).