Leveraging Python for threat hunting and analysis

Threat hunting is a proactive approach to detect and respond to threats that may have evaded traditional security defenses. Python provides a versatile toolkit for threat hunters to analyze data, develop custom tools, and automate repetitive tasks. In this section, we will explore how Python can be used for data collection, analysis, tool development, and automation in threat hunting.

Data collection and aggregation

Effective threat hunting starts with collecting and aggregating data from various sources, including logs, network traffic, and endpoint telemetry. Python, with its rich set of libraries, can facilitate this process.

The following Python script demonstrates how to collect data from an API using the requests library:

 import requests
 def collect_data(api_url):
     response = requests.get(api_url)
     return response.json()
 data = collect_data('https:/...