yAgents — agentic threat model
yAgents presents an exceptionally high agentic risk profile due to its ability to dynamically design, code, and debug its own tools, which can lead to arbitrary code execution if not strictly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.90 | |
| Goal-Driven Planning | 0.85 | |
| Self-Modification | 0.95 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.75 |
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 underlying foundation models are not specified, but they are highly vulnerable to prompt injection that could manipulate the agent into generating malicious code or tools.
Not certain from the listing — No details are provided regarding data operations or vector stores, though poisoning of the knowledge base could degrade the agent's code-generation and debugging capabilities.
yAgents' core capability of designing, coding, and debugging its own tools introduces severe risks of insecure tool integration, tool misuse, and unintended side effects during the autonomous debugging loop.
Not certain from the listing — There is no mention of sandboxing or containerization, which is critical since executing self-generated code poses an immediate threat of host compromise and privilege escalation.
Not certain from the listing — No observability, logging, or guardrail mechanisms are described to monitor or intercept the execution of newly created tools.
Not certain from the listing — No security policies, identity management, or authorization controls are specified to restrict what the generated tools are allowed to access.
As an Agent-Builder Agent, yAgents can introduce untrusted, dynamically generated tools into the broader ecosystem, risking cascading failures and trust abuse if other agents consume these tools.
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.