Markdown Converter Pro — agentic threat model
Markdown Converter Pro is a low-risk, deterministic document conversion utility with minimal agentic capabilities, posing primary risks around document data privacy and client-side execution security.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| 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 — It is unclear if an LLM is used for parsing or if it relies on deterministic parser libraries. If an LLM is used, it could be vulnerable to indirect prompt injection via malicious document inputs.
Not certain from the listing — No vector database or RAG architecture is mentioned. The primary data risk is the potential exposure or caching of sensitive user-uploaded documents during the conversion process.
Not certain from the listing — There is no evidence of an agent orchestration framework, tool-calling loops, or memory systems; it functions as a static utility.
Not certain from the listing — The description claims conversions happen 'directly in the browser', implying client-side execution which mitigates server-side risks but exposes the application to client-side injection or dependency vulnerabilities.
Not certain from the listing — No evaluation, observability, logging, or input/output guardrails are described in the public listing.
Not certain from the listing — No security compliance, data privacy policies, or access controls are specified for handling potentially sensitive user documents.
Not certain from the listing — The tool operates as a standalone utility and does not participate in a multi-agent ecosystem or marketplace integration.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.