How To Build An Automated Recon Pipeline With Python And Luigi Part I

In this article, we will learn how to use Python and Luigi to build an automated pipeline for reconnaissance, which is the process of gathering information about a target system or network. Reconnaissance is an essential step in penetration testing, bug bounty hunting, or ethical hacking, as it helps to identify potential vulnerabilities and attack vectors. However, reconnaissance can also be tedious and time-consuming, especially when dealing with large or complex targets. Therefore, automating the recon process can save us a lot of time and effort, as well as improve the quality and consistency of our results.

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Luigi is an open-source Python framework for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. Luigi can be used to orchestrate various recon tools and tasks, such as domain enumeration, subdomain discovery, port scanning, web crawling, directory brute-forcing, etc. By using Luigi, we can create a modular and scalable recon pipeline that can run on multiple machines and handle different types of targets.

In this first part of the series, we will cover the following topics:

What is Luigi and how does it work?

How to install and configure Luigi?

How to create a simple Luigi task and run it from the command line?

How to use parameters and outputs in Luigi tasks?

How to chain multiple Luigi tasks together to form a pipeline?

In the next parts of the series, we will dive deeper into how to use Luigi to build a recon pipeline that can perform various tasks such as:

Domain enumeration using tools like Amass, Subfinder, or Sublist3r

Subdomain discovery using tools like Nmap, Masscan, or Zmap

Port scanning using tools like Nmap or Masscan

Web crawling using tools like Gobuster or Dirsearch

Directory brute-forcing using tools like Gobuster or Dirsearch

Screenshotting using tools like Aquatone or Eyewitness

Reporting using tools like Markdown or HTML

Let's get started!

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