Metadata-Version: 2.1
Name: stormspotter
Version: 1.0.0a0
Summary: Azure Red Team tool for graphing Azure and Azure Active Directory objects
Home-page: https://github.com/Azure/Stormspotter
Author: Azure Red Team
License: UNKNOWN
Description: <p align="center">
            <img src="misc/stormspotter.png" /><br>
            <img src="https://img.shields.io/badge/Version-1.0.0a-red" />
            <img src="https://img.shields.io/badge/python-3.8-success" />
        </p>
        
        # Stormspotter
        
        Stormspotter creates an “attack graph” of the resources in an Azure subscription. It enables red teams and pentesters to visualize the attack surface and pivot opportunities within a tenant, and supercharges your defenders to quickly orient and prioritize incident response work.  
        
        It needs reader access to the subscription you wish to import and/or Directory.Read access to the Azure AD tenants. 
        
        ---
        
        ## Getting Started
        
        ### Prerequisites
        
        - Stormspotter is developed in Python 3.8.
        - Install [Neo4j](https://neo4j.com/download/). Installation directions for your preferred operating system are located [here](https://neo4j.com/docs/operations-manual/current/installation/), although you may prefer the ease of a docker container:
        
        ```
        docker run --name stormspotter -p7474:7474 -p7687:7687 -d --env NEO4J_AUTH=neo4j/[password] neo4j:latest
        ```
        
        ## Running Stormspotter
        In order to avoid conflicting packages, it is highly recommended to run Stormspotter in a virtual environment. 
        
        1. Install the requirements
        
            - Via pipenv
            ```
            python -m pip install pipenv
            pipenv install stormspotter==1.0.0a0
            ```
        
            - From the repository   
            ```
            git clone https://github.com/Azure/Stormspotter
            cd Stormspotter
            pipenv install .
            ```
        
        #### Providing credentials
        Current login types supported: 
        
        - Azure CLI (must use `az login` first)
        - Service Principal Client ID/Secret
        
        #### Gather and view resources
        
        1. Run stormspotter to gather resource and object information
           
            - Via CLI login
            ```
            stormspotter --cli
            ```
        
            - Via Service Principal
            ```
            stormspotter --service-principal -u <client id> -p <client secret>
            ```
            
        2. Run stormdash to launch dashboard
            ```
            stormdash -dbu <neo4j-user> -dbp <neo4j-pass>
            ```
        
        3. During installation, a `.stormspotter` folder is created in the user's home directory. Place the results zip file into `~/.stormspotter/input` folder. You may also place the zip file into the folder before running `stormdash` and it will be processed when Stormspotter starts. When a file is successfully processed, it will be moved into `~/.stormspotter/processed`.
        
        4. Browse to http://127.0.0.1:8050 to interact with the graph. 
           
        
        ## Notes
        - With Stormspotter currently in alpha, not all resource types have been implemented in Stormdash. You may see labels with missing icons and/or simply display the "name" and "type" fields. You can still view the data associated with these assets by clicking the "Raw Data" slider. Over time, more resources will be properly implemented.
        - The node expansion feature has not been implemented yet. This feature will allow you to interact with a node to see all of its relations. As an fallback to Stormdash, you can visit the Neo4J instance directly to use this feature.
          
        # Screenshots
        
        ![Screenshot1](misc/screenshot1.png)
        ![Screenshot2](misc/screenshot2.png)
        ![Screenshot3](misc/screenshot3.png)
        
        
        # Contributing
        
        This project welcomes contributions and suggestions.  Most contributions require you to agree to a
        Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
        the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
        
        When you submit a pull request, a CLA bot will automatically determine whether you need to provide
        a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
        provided by the bot. You will only need to do this once across all repos using our CLA.
        
        This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
        For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
        contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Classifier: Framework :: Dash
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
