Download slt.py python script (supports multiple build) from this repository.
python slt.py <"sublime_text file path">
| import concurrent.futures | |
| import requests | |
| import string | |
| import urllib.parse | |
| session = requests.Session() | |
| url = f"http://localhost/" | |
| headers = { | |
| "Content-Type": "application/x-www-form-urlencoded" | |
| } |
| import requests | |
| import time | |
| from urllib.parse import urlparse | |
| PASSWORD = "tiramisu" | |
| s = requests.Session() | |
| def get_parsed_login_url(test_url="http://1.1.1.1"): | |
| ''' test_url is a random url used to redirect to the login page ''' | |
| res = s.get(test_url) |
Download slt.py python script (supports multiple build) from this repository.
python slt.py <"sublime_text file path">