Metadata-Version: 2.1
Name: dirbpy
Version: 1.7.0
Summary: This is the new version of dirb in python.
Home-page: https://github.com/marcolivierbouch/dirbpy
Author: Marc-Olivier Bouchard
Author-email: mo.bouchard1997@gmail.com
License: MIT license
Description: Dirbpy
        --------
        
        .. image:: https://img.shields.io/pypi/v/dirbpy.svg
            :target: https://pypi.org/project/dirbpy/
        .. image:: https://img.shields.io/pypi/pyversions/dirbpy.svg
            :target: https://pypi.org/project/dirbpy/
        .. image:: https://travis-ci.org/marcolivierbouch/dirbpy.svg?branch=master
            :target: https://travis-ci.org/marcolivierbouch/dirbpy
        .. image:: https://codecov.io/gh/marcolivierbouch/dirbpy/branch/master/graph/badge.svg
            :target: https://codecov.io/gh/marcolivierbouch/dirbpy
        
        Description
        -----------
        Dirbpy - URL Bruteforcer
        
        This is a new version of dirb but in python. This version is faster than the normal version in C because it uses thread. Dirbpy is a Web Content Scanner. It looks for hidden Web Objects. It basically works by launching an attack based on a dictionary against a web server and analyzing the response.
        
        Link to the original dirb: https://github.com/v0re/dirb
        
        Install with pip
        ----------------
        ``pip install dirbpy``
        
        Fish completions
        ----------------
        ``git clone https://github.com/marcolivierbouch/dirbpy.git``
        
        ``cd dirbpy``
        
        ``sudo cp dirbpy.fish /usr/share/fish/completions``
        
        Dirbpy with Docker
        ------------------
        Pull the Docker
        
        ``docker pull marcolivierbouch/dirbpy``
        
        After you need to get inside the docker
        
        ``docker run -it marcolivierbouch/dirbpy``
        
        Command example
        
        ``dirbpy -o https://raw.githubusercontent.com/danielmiessler/SecLists/master/Discovery/Web-Content/common.txt -u https://[....].com``
        
        Recommendations
        ---------------
        I recommend using the SecLists: https://github.com/danielmiessler/SecLists
        
Platform: unix
Platform: linux
Platform: osx
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/x-rst
