Skip to main content

No project description provided

Project description

pypanther

pypanther is a Python library for building Panther analysis content for the Panther cybersecurity product. It provides a simple and intuitive interface for creating, managing, and deploying detections to enhance your security posture. Included is a pypanther CLI tool to interact with your content and upload it to the Panther web app.

Features

  • Rule Creation: Easily create rules using Python classes and inheritance.
  • Management: Organize and manage rules efficiently with native Python.
  • Deployment: Upload detections and more to Panther for real-time detection.

Installation

To install pypanther, use pip:

pip install pypanther

Prerequisites

  • Python 3.11 or higher
  • Panther account and API access

Usage

  1. Import pypanther: Start by importing pypanther into your Python script.
  2. Create Rules: Subclass the Rule class to define new rules.
  3. Register Rules: Register your custom rules and Panther managed rules inside your main.py file.
  4. Test Rules: Test all your registered rules using pypanther test.
  5. Upload Rules: Upload all registered rules with your Panther deployment using the CLI tool (pypanther upload).

Getting Started

Here is a simple example to get you started:

from pypanther import Rule, register, LogType, Severity


# Create a new rule
class MyRule(Rule):
    id = "MyRule"
    default_severity = Severity.HIGH
    log_types = [LogType.OKTA_SYSTEM_LOG]

    def rule(self, event):
        return event.get("status") == "breached"


# register the rule
register(MyRule)

Check out the pypanther-starter-kit for more examples on how to use pypanther.

You can view detailed docs on the package and CLI tool on the panther docs.

Local Development

We use Poetry for dependency management and packaging. Poetry makes it easy to set up a consistent and isolated development environment.

Setting Up for Local Development

  1. Install Poetry: Follow the instructions on the Poetry website to install Poetry.

  2. Clone the repository: Clone the pypanther repository to your local machine.

    git clone git@github.com:panther-labs/pypanther.git
    cd pypanther
    
  3. Install dependencies: Use Poetry to install the project's dependencies.

    poetry install
    

    This will create a virtual environment and install all necessary dependencies specified in the pyproject.toml file.

  4. Activate the virtual environment: You can activate the virtual environment created by Poetry using:

    poetry shell
    
  5. Testing Locally: You can create a main.py file within the pypanther directory to test commands and functionality locally. This file can be used to run test commands or interact with pypanther features.

    • Create a main.py file: Here is an example main file. Assumes you have a folder called custom_rules with all your test rules.

      # pypanther/main.py
      
      from pypanther import register, get_panther_rules, get_rules
      import custom_rules
      
      
      register(get_panther_rules())
      register(get_rules(custom_rules))
      
    • Running the CLI: Use the following command to run main.py with Poetry:

      poetry run python ./pypanther/main.py <cmd>
      

      Replace <cmd> with any specific commands you want to test (e.g. test and upload)

  6. Adding Dependencies: If you need to add new dependencies, use the following command:

    poetry add <package-name>
    

    This will update the pyproject.toml file with the new dependency.

Contributing

We welcome contributions! Please fork the repository and submit a pull request for review. For major changes, please open an issue first to discuss what you would like to change.

Issues

If you encounter any issues or have questions, please open a support ticket.

License

pypanther is released under the GNU Affero General Public License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypanther-0.1.1a47.tar.gz (467.5 kB view details)

Uploaded Source

Built Distribution

pypanther-0.1.1a47-py3-none-any.whl (970.0 kB view details)

Uploaded Python 3

File details

Details for the file pypanther-0.1.1a47.tar.gz.

File metadata

  • Download URL: pypanther-0.1.1a47.tar.gz
  • Upload date:
  • Size: 467.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Darwin/23.6.0

File hashes

Hashes for pypanther-0.1.1a47.tar.gz
Algorithm Hash digest
SHA256 05dd391edc430f96d3357231ac98f66844ae282d3e18a0594ed9880354a1a154
MD5 eb235d75e40b084403a9595589715e09
BLAKE2b-256 2cf1178bdd8c7ee15c71f926f3ede82568e3178bfe0e28a6de82e852d511b6b2

See more details on using hashes here.

File details

Details for the file pypanther-0.1.1a47-py3-none-any.whl.

File metadata

  • Download URL: pypanther-0.1.1a47-py3-none-any.whl
  • Upload date:
  • Size: 970.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Darwin/23.6.0

File hashes

Hashes for pypanther-0.1.1a47-py3-none-any.whl
Algorithm Hash digest
SHA256 bac8113d79aed9e89e9f2d41d553d55200d33197f26e2ada0f08bdfe3ed9c632
MD5 bac31342ca17b081581d9b70f59d6091
BLAKE2b-256 c3052c7f2be1b11793a19fb8491df5c94c0675150d34ac3bdb43dcf04947ff50

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page