Track People on the Internet: trape


Trape is a recognition tool that allows you to track people, the information you can get is very detailed. We want to teach the world through this, as large Internet companies could monitor you, obtaining information beyond your IP.

Some benefits

One of its most enticing functions is the remote recognition of sessions. You can know where a person has logged in, remotely. This occurs through a Bypass made to the Same Origin Policy (SOP)
Currently you can try everything from a web interface. (The console, becomes a preview of the logs and actions)
Registration of victims, requests among other data are obtained in real time.
If you get more information from a person behind a computer, you can generate a more direct and sophisticated attack. Trape was used at some point to track down criminals and know their behavior.
You can do real time phishing attacks
Simple hooking attacks
Mapping
Important details of the objective
Capturing credentials
Open Source Intelligence (OSINT)

Recognizes the sessions of the following services

Facebook
Twitter
VK
Reddit
Gmail
tumblr
Instagram
Github
Bitbucket
Dropbox
Spotify
PayPal
Amazon
Foursquare (new)
Airbnb (new)
Hackernews (new)
Slack (new)

How to use it

First unload the tool.

git clone https://github.com/boxug/trape.git
cd trape
python trape.py -h


If it does not work, try to install all the libraries that are located in the file requirements.txt


pip install -r requirements.txt


Example of execution

Example: python trape.py --url http://example.com --port 8080

In the option –url you must put the lure, can be a news page, an article something that serves as a presentation page.
In the –port option you just put the port where you want it to run
Do you like to monitor your people? Everything is possible with Trape
Do you want to perform phishing attacks? Everything is possible with Trape
In the Files directory, located on the path: /static/files here you add the files with .exe extension or download files sent to the victim.

https://github.com/boxug/trape