urlDNA — agentic threat model
The urlDNA MCP Server presents a moderate agentic risk, primarily acting as a specialized tool provider via the Model Context Protocol rather than an autonomous planner. The main security concerns lie in the potential for tool misuse, such as SSRF or resource exhaustion via URL scanning, and the reliance on external orchestrators to securely handle threat intelligence data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 listing mentions integration with Claude Desktop and GPT-4.1, but does not specify the underlying foundation model hosting, alignment, or protection against adversarial prompt injection.
Not certain from the listing — The agent queries the urlDNA threat intelligence platform via tools like get_scan and search, but details about local data caching, vector stores, or RAG data poisoning protections are not specified.
The agent exposes specific tools (new_scan, get_scan, search, fast_check) via the Model Context Protocol (MCP). Threats include tool misuse, such as forcing the agent to scan malicious internal URLs (SSRF) or exploiting vulnerabilities in the tool integration code.
The agent is hosted as an MCP server at https://mcp.urldna.io/sse using Server-Sent Events (SSE). Threats include exposed SSE endpoints, lack of transport-level security details in the listing, and potential compromise of the hosted server infrastructure.
Not certain from the listing — The listing does not mention any built-in evaluation, logging, monitoring, or guardrails for the MCP server interactions or scan requests.
Not certain from the listing — The listing does not detail authentication or authorization mechanisms for accessing the hosted MCP server, nor does it mention compliance standards or audit logging.
The agent is designed to be integrated into other LLM agents to enable security workflows. Threats include cascading failures if the threat intelligence data is manipulated, or agent-to-agent trust abuse where a compromised orchestrator agent misuses the urlDNA 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.