Read Blog here : https://medium.com/@Asm0d3us/weaponizing-favicon-ico-for-bugbounties-osint-and-what-not-ace3c214e139
I have created this tool for making my work easier when it comes to recon using Favicon hashes, it takes a list of urls (with https or http protocol) from stdin ,then it fetches favicon.ico and calculates its hash value. It sorts the domains/subdomains/IPs according to their favicon hashes and the most interesting part is , It matches calculated favicon hashes with the favicon hashes present in the fingerprint dictionary , If matched then it will show you the results in the output, there is option to generate shodan dorks as well (that is pretty basic and you can do it manually as well)
Note : Tested with python3.6.9 on Ubuntu/Kali
$ git clone https://github.com/devanshbatham/FavFreak
$ cd FavFreak
$ virtualenv -p python3 env
$ source env/bin/activate
$ python3 -m pip install mmh3
$ cat urls.txt | python3 favfreak.py
Example Run :
Note : URLs must begin with either http or https
$ cat urls.txt
https://example.com
https://test-example.com
http://hack-example.com
.. .. .. ..
.. .. .. ..
AND SO ON
$ cat urls.txt | python3 favfreak.py -o output
Fetching /favicon.ico and generating hashes :
Subdomains/IPs Sorted according to their Favicon hashes :
FingerPrint Based favicon Hash detection :
Fingerprint dictionary looks like this :
Edit favfreak.py , you will find a dictionary named 'fingerprint' ,
Add your fingerprints in that dictionary !
Shoot my DM : @0xAsm0d3us
If you think my work has added some value to your existing knowledge, then you can Buy me a Coffee here (and who doesn't loves a good cup of coffee?')
