lookup-greynoise

Classify IP addresses as noise or targeted activity using GreyNoise.

15|5|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Liberty91LTD/cti-skills --skill lookup-greynoise
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lookup-greynoise
Source: https://github.com/Liberty91LTD/cti-skills/tree/main/skills/lookup-greynoise
Command: npx skills add https://github.com/Liberty91LTD/cti-skills --skill lookup-greynoise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GreyNoise classification helps security teams quickly distinguish internet background noise from targeted IP activity, reducing wasted analysis time.

Core Features & Use Cases

  • Classifies an IP as noise versus riot and provides a classification (benign, malicious, unknown) along with an actor name when available.
  • IP-only lookups with retrieval-only context, ideal for triaging indicators and filtering mass-scanning traffic from alert lists.
  • Integrates into incident response workflows to surface meaningful signals while suppressing non-actionable noise.

Quick Start

Run the GreyNoise CLI to classify an IP by invoking node tools/clis/greynoise.js ip <ip> and optionally use --dry-run to preview.

Frequently Asked Questions about lookup-greynoise

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I filter internet background noise from IP alerts during incident triage?▼

Filtering internet background noise from IP alerts involves classifying indicators to distinguish mass-scanning traffic from targeted activity, reducing wasted analysis time. It outputs structured fields like classification, noise, and last_seen for triage.

What is internet background noise versus targeted activity in IP threat intelligence?▼

Internet background noise refers to mass-scanning or benign IP activity, whereas targeted activity indicates deliberate malicious actions. GreyNoise classification helps security teams quickly distinguish these signals to surface meaningful threats and suppress non-actionable noise.

How do I classify an IP address as benign or malicious for threat intelligence?▼

Classifying an IP address as benign or malicious involves running the GreyNoise CLI to lookup the indicator. It returns a classification of benign, malicious, or unknown, along with an actor name when available, to support incident response workflows.

Does the GreyNoise IP classification support retrieval-only context for alert lists?▼

Yes, GreyNoise IP classification supports retrieval-only context, making it ideal for triaging indicators and filtering mass-scanning traffic from alert lists. It outputs structured fields such as source, indicator, query_time, noise, riot, classification, and name.

What is the best way to triage IP indicators during security investigations?▼

The best way to triage IP indicators during security investigations is to classify them as noise versus targeted activity using GreyNoise. This surfaces meaningful signals while suppressing non-actionable mass-scanning traffic from your alert lists.

Why does my alert list contain non-actionable mass-scanning IP traffic?▼

Alert lists contain non-actionable mass-scanning IP traffic because internet background noise triggers security sensors. Applying GreyNoise classification filters out this noise, distinguishing benign mass-scanning from targeted malicious activity to streamline incident response.