CrackQ
Author: Daniel Turner @ Trustwave
INTRODUCTION
Python 3 REST API & JS GUI for managing hashcat crack jobs in a queuing system.
Install
Requirements
This tool has the following requirements:
-
Drivers
- OpenCL drivers - these can be installed from a repository or downloaded from the relevant vendor. Tested using Intel runtime.
- Nvida drivers
- AMD drivers
-
Docker
-
Nvidia-runtime
-
Docker-compose
It is recommended to have a hefty server build with ample RAM/CPU power. However, the application has been tested on a VM with 8 cores and 4GB RAM so there should not be any issues with resources given that the server will need a good amount of resources for cracking anyway.
See INSTALL.md for full installation guide.
Admin Guide
To start the application use the following docker-compose -f docker-compose.nvidia.yml up --build
To wipe all images/containers and start fresh build use: docker system prune -a
Some admin scripts are included under /utils, these are very rough small scripts which I am adding to as the need arises.
USER GUIDE
To use the queue a JavaScript GUI is available by browsing to the web server root: https://crackq.xxx.com
Where crackq.xxx.com is the name used during the configuration/install process (set within crackq_nginx.conf), as outlined in install.txt.
Alternatively, a Python client is provided at: https://github.com/f0cker/crackq_client
Further Notes
The following files are used during operation for logging and state management:
- /var/crackq/logs/crackq.log
Detailed application logs can be found in the above log file for debugging any issues.
Acknowledgements
Thanks to everyone that helped testing CrackQ:
Michal Talecki
Cauan Guimaraes
John Anderson
Jose Plascencia
@SpliderLabs
...and of course:
Hashcat!
Rich5 - PyHashcat