# Automating Recon

While manual reconnaissance can be effective, it can also be time-consuming and prone to human error. <mark style="color:red;">Automating web reconnaissance tasks can significantly enhance efficiency and accuracy,</mark> allowing you to gather information at scale and identify potential vulnerabilities more rapidly.

## Reconnaissance Frameworks

* [FinalRecon](https://github.com/thewhiteh4t/FinalRecon): A Python-based reconnaissance tool offering a range of modules for different tasks like SSL certificate checking, Whois information gathering, header analysis, and crawling. Its modular structure enables easy customisation for specific needs.
* [Recon-ng](https://github.com/lanmaster53/recon-ng): A powerful framework written in Python that offers a modular structure with various modules for different reconnaissance tasks. It can perform DNS enumeration, subdomain discovery, port scanning, web crawling, and even exploit known vulnerabilities.
* [theHarvester](https://github.com/laramies/theHarvester): Specifically designed for gathering email addresses, subdomains, hosts, employee names, open ports, and banners from different public sources like search engines, PGP key servers, and the SHODAN database. It is a command-line tool written in Python.
* [SpiderFoot](https://github.com/smicallef/spiderfoot): An open-source intelligence automation tool that integrates with various data sources to collect information about a target, including IP addresses, domain names, email addresses, and social media profiles. It can perform DNS lookups, web crawling, port scanning, and more.
* [OSINT Framework](https://osintframework.com/): A collection of various tools and resources for open-source intelligence gathering. It covers a wide range of information sources, including social media, search engines, public records, and more.
