Habits by Radost IT — agentic threat model
Habits by Radost IT is a low-risk, consumer-focused habit tracking tool with minimal agentic capabilities, presenting negligible threat of autonomous action or systemic compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.10 | |
| 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.
Not certain from the listing — The listing does not explicitly mention using an LLM or foundation model. If one is used for habit suggestions, it faces standard prompt injection or model alignment risks, but these are likely non-existent or highly constrained.
Not certain from the listing — The app stores user habits and completion logs. Standard database operations apply, but there is no indication of vector databases, RAG, or complex data pipelines.
Not certain from the listing — There is no evidence of an agentic orchestration framework (like LangChain or AutoGPT). The app appears to be a standard deterministic CRUD application.
Not certain from the listing — Hosting details are not provided. Standard web/mobile application security risks (e.g., insecure APIs, lack of transport encryption) apply to the backend infrastructure.
Not certain from the listing — No details are provided regarding LLM evaluation, guardrails, or observability tools.
Not certain from the listing — The app likely uses basic user authentication for habit tracking, but no enterprise security controls, compliance certifications (like SOC2), or advanced access controls are mentioned.
Not certain from the listing — The app operates as a standalone productivity tool with no multi-agent interactions, marketplace integrations, or external ecosystem dependencies described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).