AIToolly — agentic threat model
AIToolly is a low-risk, informational AI directory platform with minimal agentic capabilities, primarily presenting risks related to search manipulation and the potential listing of malicious third-party tools.
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 | 0.20 | |
| 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 — likely uses a basic LLM or embedding model to power its 'Smart Search'. Threats include prompt injection to manipulate search results or bypass curation filters.
Not certain from the listing — relies on a curated database of AI tools. Threats include database poisoning (injecting malicious tool links) or unauthorized modification of the directory content.
Not certain from the listing — likely a simple web application with search orchestration rather than an active agent framework. Threats include insecure integration of search APIs.
Not certain from the listing — hosted web application. Threats include standard web vulnerabilities (XSS, SQLi) and server compromise leading to defacement or malicious redirects.
Not certain from the listing — no mention of monitoring or guardrails for search queries. Threats include blind spots to abusive search queries or automated scraping.
Not certain from the listing — no compliance or authentication details provided. Threats include lack of access controls for directory curators.
Not certain from the listing — acts as a directory of other tools/agents, but does not interact with them dynamically. Threats include listing compromised or malicious third-party agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).