favihunter 1.2.0

Discover and monitor internet assets using favicon hashes across search engines.

Favihunter

Favicons are small icons in modern web applications that could be very useful for us in our day-to-day hunting activities, especially when we combine these icons with modern search engines to find assets on the internet.

This project helps security professionals find assets online using favicon hashes through search engines such as:

• BinaryEdge
• Censys
• Criminal IP
• FOFA
• Hunter-How
• Netlas
• Odin
• Shodan
• Silent Push
• Validin
• VirusTotal
• Zoomeye

🛠️ Installation

Optional - Creating a virtualenv before installing the dependencies

Note: The use of virtual environments is optional, but recommended. In this way, we avoid possible conflicts in different versions of the project's dependencies. Learn how to install and use virtualenv according to your OS here

Via PyPI (Recommended)

You can install FaviHunter directly from PyPI:

pip install favihunter

Via Source (Using Poetry)

Cloning the project:

git clone https://github.com/eremit4/favihunter.git

Installing the dependencies:

poetry install

🕵️‍♂️ Using

Discovering the project capabilities:

favihunter --help

Analyzing a specific URL:

favihunter --url <url address>

Analyzing a file with URLs:

favihunter --urls <file path>

Analyzing a local favicon image:

favihunter --favicon <file path>

Cleaning favihunter/tmp/ local directory:

favihunter --remove

Pivoting with VirusTotal integration:

favihunter --url <url> --virus-total