Find usernames across social networks
NOTE: Python 3.6 or higher is required.
# clone the repo $ git clone https://github.com/TheYahya/sherlock.git # change the working directory to sherlock $ cd sherlock # install python3 and python3-pip if not exist # install the requirements $ pip3 install -r requirements.txt
$ python3 sherlock.py --help usage: sherlock.py [-h] [--version] [--verbose] [--quiet] [--tor] [--unique-tor] [--csv] [--site SITE_NAME] USERNAMES [USERNAMES ...] Sherlock: Find Usernames Across Social Networks (Version 0.2.0) 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 and metrics. --quiet, -q Disable debugging information (Default Option). --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. --csv Create Comma-Separated Values (CSV) File. --site SITE_NAME Limit analysis to just the listed sites. Add multiple options to specify more than one site.
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
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
--rm flag removes the container filesystem on completion to prevent cruft build-up. 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
docker run theyahya/sherlock user123
MIT © Yahya SayadArbabi