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compose-expert — agentic threat model

6.1AIVSS 6.1 · Medium

The compose-expert agent acts as a specialized UI development assistant with low direct autonomy, primarily posing risks related to the generation of insecure Kotlin/Compose code or malicious UI patterns rather than direct system execution. Its overall agentic risk posture is low due to its focus on code generation and guidance rather than autonomous execution or tool invocation.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 0.76Factor sum 1.7/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.40
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 — The underlying LLM is not specified. It is susceptible to prompt injection that could cause it to generate insecure Kotlin code, introduce UI vulnerabilities (e.g., insecure state handling, tapjacking vulnerabilities), or output misaligned development advice.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The RAG or training dataset of Jetpack Compose and Compose Multiplatform APIs is not described. If the knowledge base is poisoned, the agent could recommend deprecated, insecure, or vulnerable API patterns (e.g., improper use of remember or state APIs leading to memory leaks or security bugs).

L3 · Agent Frameworks✓ mapped

The agent triggers on specific Compose APIs and CMP constructs to inject guidance and edit Kotlin UI code. Framework-level risks include insecure tool integration if the code-editing mechanism lacks strict AST parsing or validation, potentially corrupting source files.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment (IDE plugin, CLI, or web service) is not detailed. If integrated directly into an IDE, a compromise of the agent's infrastructure could lead to local file system access or unauthorized code modifications on the developer's machine.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of guardrails, output validation, or logging mechanisms to detect if the agent is generating malicious code or if its recommendations have drifted from secure coding standards.

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

Not certain from the listing — No identity, authorization, or policy controls are specified. The agent relies entirely on the host environment's security posture and the developer's manual review of the generated code.

L7 · Agent Ecosystem✓ mapped

The agent is described as an open-source 'agent skill' for UI development. It does not natively interact with other agents or marketplaces, resulting in minimal multi-agent or cascading ecosystem risks.

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