AIDirHub — agentic threat model
AIDirHub is a curated directory of AI tools with negligible agentic risk, as it lacks autonomous execution, planning, or tool-calling capabilities. The primary security risks are traditional web vulnerabilities, such as malicious tool submissions or directory defacement.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| 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 directory may use a simple embedding model or basic keyword search, but no specific foundation model is mentioned. If an LLM is used for search parsing, it could be vulnerable to prompt injection.
Not certain from the listing — the data operations consist of storing and querying a curated list of 325+ AI tools. The primary threat is data poisoning if the submission pipeline is compromised to inject malicious links.
Not certain from the listing — there is no evidence of an active agent framework or orchestration layer; the system functions as a standard web directory rather than an autonomous agent.
Not certain from the listing — hosting and deployment infrastructure details are not provided. Standard web hosting vulnerabilities, such as server misconfiguration or lack of DDoS protection, represent the main threats.
Not certain from the listing — no evaluation, logging, or observability guardrails are mentioned. The system relies on manual human review ('hand-checked') to filter out malicious or low-quality submissions.
Not certain from the listing — no authentication or compliance frameworks are mentioned. Security relies entirely on the administrator's manual vetting process for tool submissions.
Not certain from the listing — the platform does not participate in an active agent ecosystem or multi-agent marketplace, serving only as a static directory pointing to external tools.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).