BuildAiAgents.app — agentic threat model
BuildAiAgents.app presents a moderate security risk primarily centered around RAG data poisoning via URL scraping and document uploads, alongside potential API key exposure or billing abuse if users supply their own OpenAI keys.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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.
Utilizes OpenAI's foundation models (both basic and premium/flagship GPT models). This exposes the agents to standard LLM vulnerabilities such as prompt injection, jailbreaking, and adversarial manipulation of agent behavior.
Supports text-based training, document uploads, and URL scraping into a vector database (up to 5MB+). This introduces significant risks of data poisoning (especially via scraped URLs) and potential data exfiltration of sensitive uploaded documents through prompt extraction.
Provides a no-code framework for custom assistants with behavior training and URL scraping capabilities. Insecure integration of the scraping tool could lead to Server-Side Request Forgery (SSRF) or execution of malicious payloads retrieved from external sites.
Not certain from the listing — details regarding the hosting environment, sandboxing of the URL scraping engine, and secure storage of user-provided OpenAI API keys are not specified.
Not certain from the listing — there is no mention of built-in evaluation, monitoring, logging of interactions, or guardrails to detect and prevent abusive inputs or anomalous agent behavior.
Not certain from the listing — compliance certifications (such as GDPR or SOC2) and specific access control mechanisms for managing agents or API keys are not detailed.
Not certain from the listing — while the platform supports creating multiple agents for agencies, there is no explicit mention of multi-agent orchestration, agent-to-agent communication, or an ecosystem marketplace.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).