This tool aims to centralize search results for the hash of a given favicon across different search engines. Favihunter can receive a URL, a list of URLs, or the local path of a favicon, to extract different types of hashes compatible with each search engine and return to the user the URLs of these search engines with the query applied so that the analyst can only click and check the results.
This type of recon can be useful for mapping the attack surface based on a company's favicon and finding possible phishing or fake pages impersonating an organization's identity.

Follow the project pages:
Project Home Page: https://github.com/eremit4/favihunter
PyPI: https://pypi.org/project/favihunter/