json-canvas — agentic threat model
The json-canvas agent is a low-risk, specialized file-generation utility designed to author visual boards in the JSON Canvas format. Its primary security risks are limited to local file manipulation and potential injection of malicious payloads into generated canvas files.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 underlying foundation model is not specified, but it is susceptible to prompt injection that could force the generation of malformed JSON Canvas structures or embed malicious links/scripts within node text.
The agent reads and writes local .canvas files and references bundled examples. The primary data risk is the potential for local file path traversal or the ingestion of poisoned canvas files that could exploit parser vulnerabilities in the host application (Obsidian).
The agent framework acts as a file-generation surface over the JSON Canvas spec. Risks include insecure tool integration if the file-writing APIs lack strict path validation, allowing arbitrary file writes outside the designated vault.
Not certain from the listing — The deployment environment is implied to be local (within Obsidian/kepano ecosystem). If run locally, it inherits the user's local system permissions; sandboxing is critical to prevent unauthorized local file system access.
Not certain from the listing — There is no mention of built-in logging, validation guardrails, or observability tools to monitor the correctness or safety of the generated JSON Canvas schemas.
Not certain from the listing — The agent is open-source and free, but lacks explicit details regarding access control, identity management, or compliance audits for file-handling operations.
The agent operates as a single-purpose utility within the Obsidian ecosystem. There are no multi-agent interactions or marketplace dependencies described, minimizing cascading ecosystem risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).