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:
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
You can install FaviHunter directly from PyPI:
pip install favihunter
Cloning the project:
git clone https://github.com/eremit4/favihunter.git
Installing the dependencies:
poetry install
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 the favicon local directory:
favihunter --remove-favicons