powermolelib 1.0.0

a library that is responsible of modeling objects to connect to another host via one or more intermediaries, offering a variety of modes (FOR, TOR, FILE, and INTERACTIVE)

This package contains building blocks to make an encrypted connection possible. In addition, this package also contains a module named agent which is transferred to the last host. The building block system provide easy scalability. Use the package powermolecli to interact with this library.

How it works

Terminology

• tunnel is an established connection from localhost to last host through intermediate hosts (called Gateways).

• agent is a python module running on the last host. It performs various functions.

• agent assistant sends data and instructions to the agent by using a forwarded connection.

The program uses ssh to connect to the last host via one or more intermediaries.

Through port forwarding, the program can communicate with the agent on the last host.

The agent assistant in conjuction with the agent provides four modes:

• TOR mode

• FOR(warding) mode

• INTERACTIVE mode

• FILE mode

See cli package for applications (uses).

Development Workflow

The workflow supports the following steps

• lint

• test

• build

• document

• upload

• graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices. Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that. It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme. So for the initial delivery one would call

$ _tag –minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.

So the full workflow after git is initialized is:

• repeat as necessary (of course it could be test - code - lint :) ) * code * lint * test

• commit and push

• develop more through the code-lint-test cycle

• tag (with the appropriate argument)

• build

• upload (if you want to host your package in pypi)

• document (of course this could be run at any point)

Important Information

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed. So when building a package out of this do not simple call

$ python setup.py sdist bdist_egg

as this will produce an unusable artifact with files missing. Instead use the provided build and upload scripts that create all the necessary files in the artifact.

Documentation

• Documentation: https://powermolelib.readthedocs.org/en/latest

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

• Vincent Schouten - Initial work - LINK

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• rofl0r (developer of proxychains-ng)

• Costas Tyfoxylos

History

0.0.1 (13-05-2020)

• First code creation

0.1.0 (13-05-2020)

• first commit

0.1.1 (13-05-2020)

• pypi complains filename has been used, increment version

0.1.2 (15-05-2020)

• debug mode added + logger_basename given a correct name

1.0.0 (16-05-2020)

• tunnel.py is heavily refactored: 1) instead of assigning individual ports to the instance a dictionary is used, 2) a new method is created named periodically_purge_buffer() which should be called once from the cli + agentassistant.py is renamed to instructor.py