Lookup Greynoise

lookup-greynoise

Queries GreyNoise to classify whether an IP is internet background noise (opportunistic scanners, search engines, etc.) or targeted. IP-only. Retrieval only.

When to invoke

• User asks if an IP is scanner noise or targeted
• Investigation skill wants to filter out mass-scanning IPs from indicator lists
• Deciding if an IP hitting your perimeter is worth investigating

How to invoke

Two CLIs are provided. Pick by capability needed:

Basic noise check — Node CLI (zero deps)

node tools/clis/greynoise.js ip 

Hits the /v3/community/{ip} endpoint (free, 50/day). Best for fast retrieval inside an investigation chain.

Full surface — Python CLI (uses official pygreynoise SDK)

python3 tools/clis/greynoise.py community           # FREE (50/day)
python3 tools/clis/greynoise.py context             # Enterprise
python3 tools/clis/greynoise.py riot                # Enterprise
python3 tools/clis/greynoise.py quick        # Enterprise (bulk)
python3 tools/clis/greynoise.py similarity          # Enterprise
python3 tools/clis/greynoise.py timeline  [--days N]  # Enterprise
python3 tools/clis/greynoise.py query ""          # Enterprise
python3 tools/clis/greynoise.py stats ""          # Enterprise
python3 tools/clis/greynoise.py metadata

Self-bootstraps a private venv at tools/clis/.venv-greynoise/ on first run.

Capabilities the Node CLI doesn't have (Enterprise tier required for most):

1. Context — full per-IP telemetry: every port/protocol/payload combination GreyNoise has observed, broken down by date.
2. GNQL search (query) — find every IP matching a query: classification:malicious tags:Mirai metadata.country:RU. The killer pivot — discover scanner clusters by characteristic.
3. GNQL stats — bucket counts (countries, ASNs, tags, categories) for a query without pulling individual results.
4. Similarity — given an IP, find behaviorally similar scanners (often used to expand a single observation into a cluster).
5. Timeline — daily activity history for an IP — useful for distinguishing a brief campaign from persistent scanning.
6. Quick (bulk) — classify many IPs in one call (cheaper than N individual lookups).
7. RIOT — explicit known-benign check (CDNs, search engines, ISPs) without the noise classification.

GNQL examples:

# All malicious scanners hitting port 22 from Russia in the last day
python3 tools/clis/greynoise.py query 'classification:malicious raw_data.scan.port:22 metadata.country:RU last_seen:1d'

# Stats: country distribution of Mirai-tagged IPs
python3 tools/clis/greynoise.py stats 'tags:"Mirai" last_seen:30d'

# Find IPs similar to a known scanner
python3 tools/clis/greynoise.py similarity 185.220.101.45 --limit 50

Both CLIs accept --dry-run.

Tier awareness — this matters

• Community endpoint (/v3/community/{ip}) is public and unauthenticated. Both CLIs work without $GREYNOISE_API_KEY for the community subcommand. Rate-limited per source IP (a few per minute is fine; sustained bulk lookups will throttle).
• Enterprise endpoints (context, RIOT, GNQL, similarity, timeline, quick) require a paid Enterprise key. As of 2026 GreyNoise no longer offers a free community API key tier — what their portal calls an "API key" gates Enterprise access. The CLIs return a 401 / 402 / "upgrade required" error if your key doesn't have access; fall back to community.
• The community endpoint is sufficient for the most common CTI question — "is this IP a known scanner?" — for most investigation use.

Response format

source: greynoise
indicator: 
query_time: 
noise:           # seen as internet background noise
riot:            # rule-it-out: known-benign common service
classification: benign | malicious | unknown
name: 
last_seen: 
message: 

Rate limits

Community endpoint: 50 req/day free. Enterprise: much higher.

Source reliability (Admiralty default)

Default rating for downstream /score-source: B2 (usually reliable, probably true). Empirical signal. A noise: true result is strong evidence the IP is not targeted.

Operational notes

• IP addresses only. The CLI rejects non-IP inputs.
• riot: true is a strong signal the IP is a benign common service (CDN, search engine, etc.) — downgrade severity of any detection against it.
• classification: malicious + noise: true = mass-scanning threat actor infrastructure, not a targeted campaign.

Related skills

• /lookup-abuseipdb — abuse reports for the same IP
• /lookup-virustotal, /lookup-shodan — additional IP context
• /ip-investigation — uses GreyNoise to filter noise early in the pipeline

See also

• Integration setup: tools/integrations/greynoise.md
• Node CLI source: tools/clis/greynoise.js
• Python CLI source: tools/clis/greynoise.py
• Official Python SDK: https://github.com/GreyNoise-Intelligence/pygreynoise
• API docs: https://docs.greynoise.io/
• GNQL syntax: https://docs.greynoise.io/docs/using-the-greynoise-query-language-gnql

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Liberty91LTD
• Source: Liberty91LTD/cti-skills
• License: MIT
• Homepage: https://liberty91.com/cti-skills

Install and usage instructions live in the source repository linked above.