Wavecrack – Password Recovery Platform

A user-friendly Web interface to share an hashcat cracking box among multiple users with some pre-defined options.

Outline

• This Web application can be used to launch asynchronous password cracks with hashcat.
• The interface tries to be as user-friendly as possible and facilitates the password cracking method choice and to automate the succession of various attack modes.
• It also displays statistics regarding the cracked passwords and allows to export the cracked password list in CSV.
• The application is designed to be used in a multi-user environment with a strict segregation between the cracking results of different users: the user authentication can be done through an LDAP directory or basic auth.

Usage

Wavecrack can be used to do the following:

• Add new password hashes, choose the attack mode and the crack duration
• View the past and current cracks for your user with statistics and graphs
• View the overall load of the platform
• Upload a password-protected file and extract its hash

The attack modes are followed in the order they are displayed on the hash submit form.
It is also possible to stop a crack. However, every cancelation is final.
A limit to the amount of concurrent cracks can be defined in the settings in order not to reduce the current cracks performance.

Requirements

• hashcat: follow these instructions for CPU only usage on a Kali linux host
• flask (>=0.10.1)
• celery (>=3.1.18)
• SQLite (>=3.8.7.4)
• rabbitmq-server (>= 3.4.3)
• Rules for hashcat (examples)
• Wordlists (examples)

Installation

• Install the RabbitMQ server and python-ldap requirements

$ apt-get install libsasl2-dev libldap2-dev libssl-dev rabbitmq-server

• Install the python requirements

$ pip install -r requirements.txt

• Create a cracker/app_settings.py configuration file from the cracker/app_settings.py.example file and notably edit the Mandatory settings section:
  • The path of hashcat
  • The RabbitMQ connection string: by default, the guest/guest account is used. Be sure to harden your installation
  • The path of the SQLite database
  • The path of the hashcat rules
  • The path of the wordlists
  • The LDAP parameters:
    • IP address
    • port
    • LDAP database for the users
    • Base DN
• Initialize the local database linked in the cracker/app_settings.py configuration file

$ sqlite3 base.db < base_schema.sql

• Start the RabbitMQ server

$ sudo service rabbitmq-server start

• Start Celery from the application folder

$ celery worker -A cracker.celery

• Launch the Flask Web server
  • Directly from the server.py file: this mode is not suitable for production purpose

  $ python server.py
  

  • With a wsgi script: an example of app.wsgi.example is provided
  • Similarly, supervisorctl can be used to manage celery with a configuration file example in supervisorcelery.conf.example
• In order to stop the cracks after a certain amount of time, you can use the provided cron script.
• If you want to update the list of hashes supported, you can use the dedicated script which will parse hashcat’s wikiand generate an updated hashcat_hashes.py. To do so, you need to have BeautifulSoup installed on your system.

Finally, if you don’t want to setup your own VM, you can use the Docker-based process described in the docker folder.

Download WaveCrack