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https://github.com/enmn/storm

⚡ Do not worry, now you will be able to know what is behind the short links
https://github.com/enmn/storm

github link linux post project proxy python python3 skip storm tor url

Last synced: about 1 month ago
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⚡ Do not worry, now you will be able to know what is behind the short links

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README

        

Storm



Setup
   |   
Requirements
   |   
Installation
   |   
Usage


It is a script that decodes any short link, even links that have ads and wait without knowing your IP address or even the browser or even the system. The truth information will be hidden that there are sites that reveal your IP address to those who made the short link. So I made it to avoid those scams they use to reveal some information from us too. I used Tor to implement this code. The API was used by the unshorten website. I wish you good luck

## Setup
install Git to be able to install Storm in
Kali Linux
```console
$ sudo apt-get install git
```
If you are using Windows, you can download it normally
## Requirements

1. you must have a Linux or even a Linux subfolder
2. you must have Python
3. You must install the libraries in the file requirements.txt

## Installation
```console
# Here, type this command to install
$ git clone https://github.com/Enmn/storm

# Here you will enter the Storm folder
$ cd storm

# Here, run the main file
$ python3 storm.py
if Windows
$ python storm.py
```
## Usage
Simply dear user, put the short link and then enter yes or no if you want to save the results in a file, i think it's clear isn't it?

## Error
Dear, you may encounter errors or problems in your use of the performance, for example, some of the sites the tool cannot give you the real link (403) and the reason is due to the Tor proxy, which or the site refuses Tor proxy requests, it is good luck that there are sites that accept requests from Tor proxies and this is something good

## Preview
Interface

## License
The source code for the site is licensed under the MIT license

Find a file called 'LICENSE'

Developr - [Emnm](https://github.com/Enmn)