Qwen Agent — agentic threat model
Qwen-Agent is a highly flexible, open-source framework with significant agentic risks due to its support for powerful tools like Code Interpreters and Browser Assistants. Without robust, developer-implemented sandboxing and input validation, it is highly susceptible to prompt injection and arbitrary code execution.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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.
Leverages Qwen foundation models (0.5B to 72B). Primary threats include adversarial prompt injection, jailbreaking, and misaligned outputs, which directly impact downstream agent behavior.
Not certain from the listing — details on vector databases, RAG pipelines, or data ingestion security are not specified, but long-context handling and multimodal data processing (text, audio, images) present data exfiltration and poisoning risks.
Provides orchestration for planning, memory, and tool calling. The inclusion of Browser Assistant and Code Interpreter examples introduces severe risks of tool misuse, insecure tool integration, and memory poisoning.
Not certain from the listing — deployment infrastructure, secrets management, and sandboxing (especially critical for the Code Interpreter and Browser Assistant examples) are not detailed in the framework's public listing.
Not certain from the listing — the framework's built-in evaluation, logging, or guardrail capabilities are not detailed in the provided description.
Not certain from the listing — no explicit security controls, authentication mechanisms, or compliance certifications are mentioned in the open-source framework description.
Not certain from the listing — while it supports building custom assistants and agents, explicit multi-agent coordination protocols or marketplace interactions are not detailed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).