EagleEye - Stalk your Friends. Find Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search

EagleEye - Find Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search

With technology you can find someone social account with just image, we know face recognition is not just a myth, because with just image of a person you can find anything that assosiated with that.

Description

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.

With EagleEye you can stalk someone and find their social accounts with deep searching. This tool is also use image to find informations about the target. Eagle Eye is make you more easier to perform information gathering.

You have at least one image of the person you are looking for and a clue about their name. You enter this data into EagleEye and it tries to find Instagram, Youtube, Facebook, and Twitter Profiles of this person.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

A system with a x-server installed (Linux)
Firefox installed

When using docker

Only docker is required

When you dont use docker

Python 3.6 or higher
Pythons pip

Installing

Docker (Preferred)

Make sure that you have docker installed Make sure that you use a LINUX distribution as the host

1. Clone the Repository

git clone https://github.com/ThoughtfulDev/EagleEye

2. And then build with docker

cd EagleEye
sudo docker build -t eagle-eye - < dockerfile

3. Now create a known folder and a result folder anywhere on your PC.

4. Put the images of the known person in the known folder.

5. Change the name of the person your are searching for in entry.sh

6. Start the container. Make sure to edit the paths:

sudo docker run -t --net=host --env="DISPLAY" \
                            --volume="$HOME/.Xauthority:/root/.Xauthority:rw"  \
                            -v  /path/to/known:/EagleEye/known \
                            -v  /path/to/result:/result \
                            -v /path/to/EagleEye/Repository/entry.sh:/entry.sh \
                            eagle-eye

The result should now be in /path/to/result

Automated Prequisites Installation (If Docker doesn’t work)

wget https://raw.githubusercontent.com/ThoughtfulDev/EagleEye/master/install.sh && chmod +x install.sh && ./install.sh

Manual Prequisites Installation (If you are hardcore)

For Debian based Distros

sudo apt update && sudo apt upgrade -y
sudo apt install git python3 python3-pip python3-dev
sudo apt install libgtk-3-dev libboost-all-dev build-essential cmake libffi-dev
git clone https://github.com/ThoughtfulDev/EagleEye
cd EagleEye && sudo pip3 install -r requirements.txt
sudo pip3 install --upgrade beautifulsoup4 html5lib spry

For Arch

sudo pacman -Syu
sudo pacman -S git python python-pip gtk3 boost cmake libffi
git clone https://github.com/ThoughtfulDev/EagleEye
cd EagleEye && sudo pip3 install -r requirements.txt
sudo pip3 install --upgrade beautifulsoup4 html5lib spry

If Firefox is installed, download the latest release of the Geckodriver for you Architecture.

If you get a broken pipe Error use Geckodriver Version 0.19.1.

Note: If you are using Firefox ESR (like Kali does) please use the Geckodriver Version 0.17.

Make the Geckodriver executable:

chmod +x /path/to/geckodriver

Note: The geckodriver prefers to be in your path so wherever you do set it up you will likely need to setup a link to somewhere in your PATH (or add it to your PATH).

Example:

sudo ln -s /path/to/geckodriver /usr/local/bin/geckodriver

Usage

Configuration: General

Change the value in config.json to the path of the geckodriver e.g

{
  "DEFAULTS": {
      ...
  },
  "WEBDRIVER": {
      "ENGINE": "firefox",
      "PATH": "/usr/local/bin/geckodriver"
  },
  "FILTER": [
      ....
  ],
   ...
}