LazyShot

The simplest way to take an automated screenshot of given URLs. Easy installation!

Requirements:

• Python >= 2.7
• Selenium, urlparse and termcolor Python library. Please install latest by running the following command.

pip install -r requirements.txt

Installation:

Follow these steps to install the Lazyshot.

• Clone the project using git command.

git clone https://github.com/mdhama/lazyshot.git

• Go to /lazyshot

cd lazyshot

• Download chromedriver (v2.35) from here

• Extract zip file. Copy and Paste chromedriver to /path/to/lazyshot/ directory

• Add alias chromedriver into .bash_profile

cd
nano ~/.bash_profile

or

vi ~/.bash_profile

• Append below line into .bash_profile

alias chromedriver="~/path/to/lazyshot/chromedriver"

• Save and exit. Now refresh .bash_profile

source ~/.bash_profile

Done!

How to use:

To take screenshots simply run this command

python lazyshot.py wordlist

Screenshots will be saved into Default outputs folder. You can pass the custom folder name using

python lazyshot.py wordlist --out folder_name

Wordlist:

The wordlist is just a simple data file where each line contains one URL.

vi wordlist

list subdomains/domains

:wq (exit vim)

Wordlist file example content

www.example.com
https://foo.example.com
http://bar.expample.com
foo-bar.exmaple.com

Example:

python lazyshot.py wordlist --out example

output:

 _                     __ __ _           _
| |                   /  ___| |         | |   
| |     __ _ _____   _\ `--.| |__   ___ | |_  
| |    / _` |_  / | | |`--. \ '_ \ / _ \| __| 
| |___| (_| |/ /| |_| /\__/ / | | | (_) | |_  
\_____/\__,_/___|\__, \____/|_| |_|\___/ \__| 
                  __/ |                     
                 |___/       By: Mukesh Dhama & Sahil Ahamad
-------------------------------------------------------------                           


www.example.com is ready.
foo.example.com is ready.
bar.expample.com is ready.
foo-bar.exmaple.com is ready.

Screenshots will be saved into example directory in .png format

License:

MIT License

Any Pull request is greatly appreciated