Phishing_analysis__URLScan_io_and_Virustotal_

![python](https://i.imgur.com/S2TZ3u6.png)
## Indicator of Compromise Detection Loop
This workflow section leverages n8n's `Split In Batches` node, a powerful feature for iterative processing. It is set to dissect the batch of emails one by one, allowing for individual examination of each message's content for potential threats.

With the `Find indicators of compromise` node, the workflow employs Python code to parse the email content and extract URLs, which are common indicators of compromise (IoCs) in phishing attempts. By utilizing the ioc-finder library, it systematically scans for and isolates these IoCs from the email body.

The `Has URL?` node then checks if the email contains any urls. If no URLs are found, then the loop moves on to the next email, as there is nothing to scan. If it does find one, it allows the email to flow to the next sections. 

The splitting of batches is key to the workflow's efficiency, enabling the loop to handle vast quantities of emails methodically. This step is crucial in pinpointing and extracting suspicious elements from each email, highlighting the workflow's meticulous approach to security analysis.