This n8n workflow automates the process of analyzing URLs for security threats using urlscan.io and AI. It starts with a webhook trigger that receives a URL, which is then scanned for potential threats. After a 30-second wait for results, the workflow utilizes OpenAI’s GPT model to evaluate the scan data, categorizing the URL as malicious, suspicious, or benign, and assigning a risk score. The analysis, along with relevant links and screenshots, is then sent via Gmail to designated recipients. This workflow is practical for security teams wanting to automate URL threat detection and reporting.
AI-Driven URL Safety Analysis Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, gmail, stickyNote, urlScanIo, wait, webhook |
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