mcp-noctua — agentic threat model
mcp-noctua presents a high-risk profile due to its capability to execute powerful offensive security tools (sqlmap, nuclei, ffuf) under LLM orchestration. While strict whitelisting and timeout controls mitigate unauthorized targeting, prompt injection or orchestrator compromise could turn this agent into an automated internal attack platform.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.70 | |
| 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.
Not certain from the listing — relies on an external LLM orchestrator which may be vulnerable to prompt injection, causing the agent to run unauthorized scans or bypass internal logic.
Not certain from the listing — no explicit data operations, vector stores, or RAG pipelines are described; primarily acts as a tool execution agent.
Uses MCP to expose offensive tools (sqlmap, nuclei, ffuf). Vulnerable to tool misuse or prompt injection hijacking the tool arguments (e.g., injecting malicious flags or target URLs into sqlmap/nuclei commands).
Runs within Docker containers. Risk of container escape or network-level abuse if the container has unrestricted outbound access to unauthorized networks or internal assets.
Implements strict tool whitelisting and timeout controls as guardrails, but lacks explicit mention of real-time security monitoring, audit logging of executed payloads, or drift detection.
Focuses on authorized security audits with whitelisting to prevent unauthorized targeting, but lacks built-in authentication, authorization, or formal compliance mapping in the open-source listing.
Designed as an MCP server to interact with an LLM orchestrator. Risk of cascading failures or unauthorized tool execution if a compromised orchestrator or upstream agent sends malicious instructions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).