LibraryMonitoring, Logging & DevOps★ 8.0
Suspicious Login Detection Workflow
An n8n workflow for detecting suspicious logins using GreyNoise API for IP threat intelligence, IP-API for geolocation, UserParser for user agent analysis, and Postgres for login history. It prioritizes alerts and notifies via Slack and email for security response.
▮▯▯Beginner5 min7 nodes
$9.00
SSL secureInstant access24h refund
Card payment via Dodo
Wise · Bank transfer
Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-suspic
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✦ Built with
n8nPostgreSQLSlack
✦ Workflow at a glance
✦ What you get
In thebox.
- workflow.jsonReady-to-import n8n workflow file
- Setup guideStep-by-step deployment instructions
- Node documentationWhat each node does + how to tune it
- Sample dataTest inputs to verify it works end-to-end
- Community supportBest-effort via Telegram / GitHub
- Lifetime updatesNew versions delivered free, forever
✦ Setup
Live inthree steps.
01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 3 tools
The fullintegration map.
Automation
1
n8n
Database
1
PostgreSQL
Communication
1
Slack
✦ Bundle
Often pairedwith this.
✦ Related
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✦ Ready when you are
Deploy Suspicious Login Detection Workflow
Free to license through our library tier. Custom builds in 1–3 days.