https://github.com/Coalfire-Research/Doozer

Password cracking utility
https://github.com/Coalfire-Research/Doozer

Last synced: about 2 months ago
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Password cracking utility

• Host: GitHub
• URL: https://github.com/Coalfire-Research/Doozer
• Owner: Coalfire-Research
• Created: 2013-12-26T22:57:20.000Z (over 10 years ago)
• Default Branch: main
• Last Pushed: 2021-04-06T23:12:21.000Z (over 3 years ago)
• Last Synced: 2024-07-03T06:34:42.084Z (3 months ago)
• Language: Python
• Size: 37.1 KB
• Stars: 53
• Watchers: 25
• Forks: 30
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Doozer

========

Doozer is an extensible, automated hash cracking utility used to automate the parsing, cracking, and organization of password hashes.  Currently, Doozer supports nt/lm, ntlmv1, and ntlmv2 hashes (from Responder or SAM), but sports a modular architecture that allows other hash types to be trivially plugged in.  A simple, Django-based web interface allows users to view cracking sessions in real time, view session results, and search the hash database.  A simple REST API is also exposed, allowing scripts to easily interface with the database.

Doozer features a folder monitoring solution; in order to provide a seamless method for cracking hashes, Doozer allows you to set a folder that it will monitor for hash files.  Once a file is dropped into this location, Doozer will move it to a working directory and queue it for cracking.  Doozer supports a configurable number of parallel cracking sessions as well as a simple queuing system to automatically start up sessions once one has completed.  This is configured in `doozer/core/sethor.py`.

There are bugs, and Doozer is currently still in development.

Hash view:

![Hashes](http://i.imgur.com/XG0RWDl.jpg)

Session view:

![Session](http://i.imgur.com/UYqvxFs.jpg)

Doozer requires

========

* django-1.5+ (tested on 1.5.4)

* django-bootstrap3

* watchdog

* requests

* passlib

Doozer contains

===========

* monitor.py

  -- Manages monitoring our watched folder, running, and spinning up jobs.

* horstop.py

  -- Auxiliary tool for interacting with masterhor.  Can be used to insert 

  data into the master list.

* doozer.py 

  -- doozer - the next generation

To run: 

    $ ./doozer/horstop.py --startup 

This kicks off our Django application as well as our monitoring application

USAGE

====

Please see the wikipedia entry for usage information

    

TODO

====

* roll over monitor_log and create a log archive

* limit default hash page to top 100

* add more awesome hash types

* provide more hash statistics (reports?)