Sherlock

Find usernames across social networks

Installation

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

Usage

$ python3 sherlock.py --help
usage: sherlock.py [-h] [--version] [--verbose] [--rank]
                   [--folderoutput FOLDEROUTPUT] [--output OUTPUT] [--tor]
                   [--unique-tor] [--csv] [--site SITE_NAME]
                   [--proxy PROXY_URL] [--json JSON_FILE]
                   USERNAMES [USERNAMES ...]

Sherlock: Find Usernames Across Social Networks (Version 0.4.0)

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.
  --rank, -r            Present websites ordered by their Alexa.com global
                        rank in popularity.
  --folderoutput FOLDEROUTPUT, -fo FOLDEROUTPUT
                        If using multiple usernames, the output of the results
                        will be saved at this folder.
  --output OUTPUT, -o OUTPUT
                        If using single username, the output of the result
                        will be saved at this 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.
  --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.
  --proxy PROXY_URL, -p PROXY_URL
                        Make requests over a proxy. e.g.
                        socks5://127.0.0.1:1080
  --json JSON_FILE, -j JSON_FILE
                        Load data from a JSON file or an online, valid, JSON
                        file.

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 optional --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 sherlock:

docker run theyahya/sherlock user123

Tests

If you are contributing to Sherlock, then Thank You!

Before creating a pull request with new development, please run the tests to ensure that all is well. It would also be a good idea to run the tests before starting development to distinguish problems between your environment and the Sherlock software.

The following is an example of the command line to run all the tests for Sherlock. This invocation hides the progress text that Sherlock normally outputs, and instead shows the verbose output of the tests.

$ python3 -m unittest tests.all --buffer --verbose

Note that the tests are very much a work in progress. Significant work is required to get full test coverage. But, the current tests are working properly, and will be expanded as time goes by.

Original creator of Sherlock

Siddharth Dushantha (sdushantha)

License

MIT © Yahya SayadArbabi