Discover ThoughtfulDev/EagleEye Open Source project by @ThoughtfulDev

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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.

📝 Table of Contents

Getting Started
Usage
Built Using
TODO
Authors
Acknowledgments

🏁 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

Clone the Repository

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

$ cd EagleEye
$ sudo docker build -t eagle-eye .

Now create a known folder and a result folder anywhere on your PC.
Put the images of the known person in the known folder.
Change the name of the person your are searching for in entry.sh
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 Prerequisites Installation (If Docker doesn't work)

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

Manual Prerequisites 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": [
        ....
    ],
    ...
}

Configuration: Images

Put at least one Image of the Person you want to find in the known folder.

Supported Filetypes are: jpg/JPG, jpeg/JPEG, png/PNG, and bmp/BMP.

Run

Then run the program ;)

$ python3 eagle-eye.py

To see a list of all available Options just type

$ python3 eagle-eye.py -h

The ImageRaider Reverse Image Search can take some minutes 1-15 Minutes depending on the count of Images

TODO

Implement the Chrome Webdriver

⛏️ Built Using

Python - Language
dlib - Face detection
face_recognition - dlib python api
Selenium - WebBrowser automation

✍️ Authors

@ThoughtfulDev - Idea & Work

🎉 Acknowledgements

The movie Eagle Eye

ThoughtfulDev/EagleEye

ThoughtfulDev

Reviews

Repository Details