Portable, all-in-one, cross-platform toolkit.
This is a work-in-progress, all-in-one, portable, cross-platform, command-line toolkit. It's similar in nature to BusyBox, but is able to run on Windows, Linux, macOS, etc. darkbox is built for hackers, penetration testers, incident responders, and security researchers. It not only comes with many of the standard utilities that you use on a daily basis, but also tools that computer security practitioners know and love.
darkbox is written by your friendly neighborhood AbnormalSec <3
How to get darkbox
Pre-built, portable binaries can be downloaded for Linux, Windows, and macOS in the releases section.
If you'd like to compile your own binary, darkbox is compiled using Nuitka. See the Nuitka documentation to learn how to get up and running, and then darkbox can be built like so:
nuitka3 --recurse-all darkbox/darkbox.py
darkbox is also available on PyPI and can be installed using pip:
pip install darkbox
If you'd like to run darkbox from the git repo source code you can:
$ git clone https://github.com/abnormalsec/darkbox $ # use it directly as a module like so $ python -m darkbox.darkbox -v darkbox 0.1.0 $ # or manually install it $ python setup.py install $ darkbox -v darkbox 0.1.0
Once you have darkbox it can be used like so:
$ darkbox --help Usage: darkbox <tool> [OPTIONS] Tools: base64, cat, cp, curl, exip, head, hostname, ls, md5sum, mv, nmap, pwd, rm, sha224sum, sha256sum, sha384sum, sha512sum, unzip, xxd, zip $ darkbox cat hello.txt Hello, world! $ darkbox nmap -p22 localhost Starting darkbox Nmap v0.0.1 at 2018-14-22 16:14 EST Nmap scan report for localhost (127.0.0.1) PORT STATE 22/tcp open Nmap done: 1 IP addresses scanned in 0.02 seconds $ darkbox md5sum /bin/ls d77c1dd5bb8e39c2dd27c96c3fd2263e /bin/ls
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size darkbox-0.1.0.tar.gz (19.0 kB)||File type Source||Python version None||Upload date||Hashes View|