AgentReadyHomeAgent Listing

← Postman (Newman)

Postman (Newman) — agentic threat model

9.2AIVSS 9.2 · Critical

This agent executes arbitrary Postman collections locally via Newman, presenting a high-risk SSRF and local network execution surface if the agent is fed malicious collections or manipulated into calling internal endpoints.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.8AARS uplift 0.44Factor sum 3.3/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.30
Self-Modification
0.00
Dynamic Tool Use
0.80
Persistent Memory
0.10
Contextual Awareness
0.40
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.50
Opacity & Reflexivity
0.30

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The underlying LLM is not specified, but it is vulnerable to prompt injection where an attacker could manipulate the model into generating or executing a malicious Postman collection targeting internal infrastructure.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent primarily processes Postman collections and environment files. There is no mention of vector databases or RAG, but local collection files could be poisoned or exfiltrated.

L3 · Agent Frameworks✓ mapped

The agent framework integrates directly with Newman to execute collections. The primary threat is tool misuse and insecure tool integration, as the agent can be coerced into executing arbitrary HTTP requests (SSRF) or running malicious test scripts embedded within the collection.

L4 · Deployment & Infrastructure✓ mapped

The MCP server runs Newman locally. Without strict sandboxing, containerization, or network segmentation, this allows direct lateral movement, local network scanning, and potential host compromise via Newman's Node.js execution environment.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The agent reports whether the collection passed all tests, but there is no evidence of security-specific guardrails, logging of outbound HTTP payloads, or anomaly detection for suspicious network requests.

L6 · Security & Compliance (cross-cutting)✓ mapped

The listing does not mention any authentication, authorization, or policy controls. It runs with the permissions of the local user executing the MCP server, lacking role-based access control or request filtering.

L7 · Agent Ecosystem✓ mapped

As an MCP tool, this agent can be orchestrated by other parent agents. If a upstream agent is compromised, it can abuse this agent to perform unauthorized API operations or exfiltrate sensitive data via HTTP requests.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).