Narthex v1.2 releases: Modular personalized dictionary generator

by do son · Published December 22, 2021 · Updated February 27, 2022

Narthex

Narthex (Greek: Νάρθηξ, νάρθηκας) is a modular & minimal dictionary generator for Unix and Unix-like operating system written in C and Shell. It contains autonomous Unix-style programs for the creation of personalised dictionaries that can be used for password recovery & security assessment. The programs make use of Unix text streams for collaboration with each other, according to the Unix philosophy. It is licensed under GPL v3.0. Currently under development!

The tools

nchance – A capitalization tool that appends the results to the bottom of the dictionary.
ninc – A incrementation tool that multiplies alphabetical lines and appends an n++ at the end of each line.
ncom – A combination tool that creates different combinations between the existing lines of the dictionary.
nrev – A reversing tool, that appends the reserved versions of the lines at the end of the dictionary.
nleet – A leetifier. Replaces characters with Leet equivalents, such as @ instead of a, or 3 instead of e.
nclean – A tool for removing passwords that don’t meet your criteria (too short, no special characters, etc.)
napp – A tool that appends characters or words before or after the lines of the dictionary.
nwiz – A wizard that asks for the infromation and combines the tools together to create a final dictionary.

Changelog v1.2

Updated delimiter functionality of ncom and added it to ninc too. Fixed a security vulnerability. Filename can be given as an argument in ncom.

Install

In order to install, execute the following commands:

$ git clone https://github.com/MichaelDim02/Narthex.git && cd Narthex $ sudo make install

Usage

For easy use, there is a wizard program, nwiz, that you can use. Just run

$ nwiz

And it will ask you for the target’s information & generate the dictionary for you.

Advanced usage

If you want to make full use of Narthex, you can read the manpages of each tool. What they all do, really, is enhance small dictionaries. They are really minimal and use Unix text streams to read and output data. For example, save a couple of keywords into a textfile words.txt in a different line each, and run the following