ROADTools : The Azure AD Exploration Framework

ROADtools is a framework to interact with Azure AD. It currently consists of a library (roadlib) and the ROADrecon Azure AD exploration tool.

ROADlib

ROADlib is a library that can be used to authenticate with Azure AD or to build tools that integrate with a database containing ROADrecon data. The database model in ROADlib is automatically generated based on the metadata definition of the Azure AD internal API. ROADlib lives in the ROADtools namespace, so to import it in your scripts use from roadtools.roadlib import X

ROADrecon

ROADrecon is a tool for exploring information in Azure AD from both a Red Team and Blue Team perspective. In short, this is what it does:

Uses an automatically generated metadata model to create an SQLAlchemy backed database on disk.
Use asynchronous HTTP calls in Python to dump all available information in the Azure AD graph to this database.
Provide plugins to query this database and output it to a useful format.
Provide an extensive interface built in Angular that queries the offline database directly for its analysis.

ROADrecon uses async Python features and is only compatible with Python 3.6-3.8 (development is done with Python 3.8).

Installation

There are multiple ways to install ROADrecon:

Using a published version on PyPi

Stable versions can be installed with pip install roadrecon. This will automatically add the roadrecon command to your PATH.

Using a version from GitHub

Every commit to master is automatically built into a release version with Azure Pipelines. This ensures that you can install the latest version of the GUI without having to install npm and all it’s dependencies. Simply download the roadlib and roadrecon zip files from the Azure Pipelines artifacts, then unzip both and install them in the correct order (roadlib first):

pip install roadlib/
pip install roadrecon/

You can also install them in development mode with pip install -e roadlib/.

Developing the front-end

If you want to make changes to the Angular front-end, you will need to have node and npm installed. Then install the components from git:

git clone https://github.com/dirkjanm/roadtools.git
pip install -e roadlib/
pip install -e roadrecon/
cd roadrecon/frontend/
npm install

You can run the Angular frontend with npm start or ng serve using the Angular CLI from the roadrecon/frontend/ directory. To build the JavaScript files into ROADrecon’s dist_gui directory, run npm build.

Download

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