Acid Tools — agentic threat model
Acid Tools is a curated web directory of AI resources rather than an active, autonomous agent, presenting negligible agentic risk. Its primary security concerns are standard web application vulnerabilities and the potential risk of listing malicious external links.
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 — Acid Tools appears to be a standard web directory rather than an active LLM-based agent, meaning foundation model threats like prompt injection or model poisoning are likely inapplicable unless a basic search LLM is used behind the scenes.
Not certain from the listing — The data operations are likely limited to a traditional relational database of curated tool listings, making it susceptible to standard database tampering or SQL injection rather than vector store or RAG-specific poisoning.
Not certain from the listing — There is no evidence of an agentic orchestration framework (such as LangChain or Semantic Kernel) or tool-calling capabilities, rendering agent-specific framework vulnerabilities irrelevant.
Not certain from the listing — Standard web hosting and infrastructure security risks apply (e.g., server compromise, CMS vulnerabilities, or DDoS), but there are no complex agent sandboxing or runtime execution isolation requirements.
Not certain from the listing — The platform likely relies on standard web analytics and uptime monitoring rather than LLM-specific evaluation, guardrails, or semantic drift detection.
Not certain from the listing — No security certifications, access control mechanisms, or compliance frameworks are mentioned, meaning security relies entirely on basic web administrative hygiene.
Not certain from the listing — While the platform catalogs other AI agents, it does not programmatically interact with them, limiting ecosystem risk to the manual curation process and the potential of pointing users to compromised or malicious third-party tools.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).