AgentStack
SKILL verified MIT Self-run

Lookup Greynoise

skill-liberty91ltd-cti-skills-lookup-greynoise · by Liberty91LTD

Use when you need to classify an IP as internet scanner noise vs. targeted activity. Returns noise/riot flags, classification (benign/malicious/unknown), actor name if known. IP-only. Commonly invoked by /ip-investigation to filter out mass-scanning noise. Retrieval only.

No reviews yet
0 installs
11 views
0.0% view→install

Install

$ agentstack add skill-liberty91ltd-cti-skills-lookup-greynoise

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Lookup Greynoise? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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.

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

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.