← Shodan Reconnaissance and Pentesting
Shodan Reconnaissance and Pentesting — agentic threat model
This agent acts as a reconnaissance tool with direct access to Shodan's API and CLI, presenting high risk if hijacked due to its ability to scan, query, and potentially target exposed internet-facing infrastructure.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 model is not specified, leaving it vulnerable to standard prompt injection or jailbreaks that could redirect the Shodan queries toward unauthorized targets.
Not certain from the listing — The agent relies on live external data from Shodan's REST API, but the handling, caching, or potential poisoning of this retrieved reconnaissance data is not detailed.
The agent framework orchestrates Shodan search-filter reconnaissance, CLI execution, and REST API querying. Insecure tool integration or lack of input validation on search parameters could allow an attacker to execute arbitrary CLI commands or abuse the Shodan API key.
Not certain from the listing — The deployment environment must securely store and isolate the Shodan API credentials and CLI execution environment to prevent container escape or unauthorized credential extraction.
Not certain from the listing — There is no mention of logging, guardrails, or monitoring to detect if the agent is being abused to perform unauthorized scanning or targeting of sensitive networks.
Not certain from the listing — Compliance controls, authorization policies, and rate-limiting mechanisms for Shodan API usage are not defined in the public directory listing.
The agent is designed as an 'Agent Skill' (by zebbern) to guide other agents during pentest engagements, creating a risk of cascading security failures if a calling agent is compromised and abuses this skill.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).