Detect web technologies based on favicons
Project description
favitech
Detect web technologies based on favicons. Improved version of FavFreak.
Usage
$ subfinder -silent -d mydomain.com | httpx -silent | favitech -k
https://big-itsmapi.mydomain.com ASP.net 1772087922
http://azureconsumer.mydomain.com Windows Azure -2125083197
http://files.mydomain.com Windows Azure -2125083197
https://manage.prod.apac.ngps.mydomain.com React -2009722838
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
favitech-0.0.1.tar.gz
(24.8 kB
view details)
Built Distribution
favitech-0.0.1-py3-none-any.whl
(24.7 kB
view details)
File details
Details for the file favitech-0.0.1.tar.gz.
File metadata
- Download URL: favitech-0.0.1.tar.gz
- Upload date:
- Size: 24.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f7bbe6a614c91fa22fb5f1b6054d41bad617d00a2e233da4d69ba4998663953a |
|
| MD5 | 1e22c6af0d263bf81be4eef141ff280a |
|
| BLAKE2b-256 | 1b8fb22019fba96b914d65b3fecd09f28cf4e02767bc827623821482587aa806 |
Provenance
File details
Details for the file favitech-0.0.1-py3-none-any.whl.
File metadata
- Download URL: favitech-0.0.1-py3-none-any.whl
- Upload date:
- Size: 24.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3eb63dc6edacf3882e1c911626203c2a93924309d1af482153ff68d7aa47f60 |
|
| MD5 | 01c79aa30f0ac4d11c656d8710c9b940 |
|
| BLAKE2b-256 | 06ad95198af21ac138b8bdaeeaaca575b7dac1ca6960965136d47bf1c3b26fc6 |
