Automated Suspicious Login Detection Workflow
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This n8n workflow automates the detection of suspicious login attempts by analyzing user activity, IP geolocation, and device information. It aims to enhance security posture by flagging potential threats in real-time.
About This Workflow
The Suspicious Login Detection workflow leverages n8n to create a robust security monitoring system. It begins by capturing key login event data, including IP address, user agent, and timestamp. The workflow then enriches this data by querying external APIs for IP geolocation and user agent parsing, providing critical context. It cross-references this information with historical login data from your database and user profiles to identify anomalies such as logins from new locations, unfamiliar devices, or browsers. Conditional logic within the workflow determines if a login is truly suspicious, enabling proactive threat identification and response.
Key Features
- Real-time Data Ingestion: Captures login events as they occur via webhooks.
- Geographic & Device Anomaly Detection: Identifies logins from unexpected locations or with unusual device/browser configurations.
- Historical Data Correlation: Compares new logins against past user activity to spot deviations.
- Comprehensive Data Enrichment: Utilizes external APIs to gather detailed IP and user agent information.
- Configurable Threat Scoring: Employs conditional logic to flag potential security risks.
How To Use
- Webhook Setup: Configure the 'New /login event' node (currently disabled) to receive login event data via a webhook.
- Data Extraction: Ensure the 'Extract relevant data' node correctly maps fields from your incoming webhook payload to
ip,userAgent,timestamp,url, anduserId. - Database Integration: Enable and configure the 'Get last 10 logins from the same user' and 'Query user by ID' nodes with your PostgreSQL credentials and correct table/column names to fetch historical user data.
- External API Configuration: Set up the 'Query IP API1' and 'Parse User Agent' nodes with any necessary API keys or authentication methods.
- Conditional Logic: Adjust the conditions in the 'Unknown threat?', 'New location?', and 'New Device/Browser?' nodes to fine-tune the definition of a suspicious login based on your security policies.
- Actionable Outputs: Connect the 'New Location' and 'New Device/Browser' nodes to subsequent actions like sending notifications or creating security tickets.
Apps Used
Workflow JSON
{
"id": "c7d7a18e-93ac-4ee5-96be-9f6aa1ef1472",
"name": "Automated Suspicious Login Detection Workflow",
"nodes": 8,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c7d7a18e-93ac...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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