2.3 KiB
Sherlock
Find usernames across social networks
Installation
NOTE: Python 3.6 or higher is required.
# clone the repo
$ git clone https://github.com/sdushantha/sherlock.git
# change the working directory to sherlock
$ cd sherlock
# install the requirements
$ pip3 install -r requirements.txt
Usage
$ python3 sherlock.py --help
usage: sherlock.py [-h] [--version] [--verbose] [--quiet] [--csv] [--tor] [--unique-tor]
USERNAMES [USERNAMES ...]
Sherlock: Find Usernames Across Social Networks (Version 2018.12.30)
positional arguments:
USERNAMES One or more usernames to check with social networks.
optional arguments:
-h, --help show this help message and exit
--version Display version information and dependencies.
--verbose, -v, -d, --debug
Display extra debugging information.
--quiet, -q Disable debugging information (Default Option).
--csv Create Comma-Separated Values (CSV) File.
--tor, -t Make requests over TOR; increases runtime; requires TOR to be installed and in system path.
--unique-tor, -u Make requests over TOR with new TOR circuit after each request; increases runtime; requires TOR to be installed and in system path.
For example, run python3 sherlock.py user123, and all of the accounts
found will be stored in a text file with the username (e.g user123.txt).
Docker Notes
If you have docker installed you can build an image and run this as a container.
docker build -t mysherlock-image .
Once the image is built sherlock can be invoked by running the following:
docker run --rm mysherlock-image user123
The --rm flag is optional. It removes the container filesystem after running so you do not have a bunch of leftover container filesystem cruft. See https://docs.docker.com/engine/reference/run/#clean-up---rm
One caveat is the text file that is created will only exist in the container so you will not be able to get at that.
Or you can simply use "Docker Hub" to run sherlock:
docker run theyahya/sherlock user123
License
MIT License
Copyright (c) 2018 Siddharth Dushantha