Using the pypanther Command Line Tool

View, test, and upload V2 detections

Overview

The pypanther CLI tool is in closed beta starting with Panther version 1.108. Please share any bug reports and feature requests with your Panther support team.

Use the pypanther command line interface (CLI) tool to view, test, and upload PyPanther Detections. You can also use it to convert v1 detections to PyPanther Detections. To get started using pypanther, follow the instructions in the pypanther-starter-kit's README.

See the list of available CLI commands below, and note that some require authentication.

pypanther CLI command reference

Command
How it works
Required API permission(s)

list rules

By default, lists registered rules and their attributes in a table for easy viewing. If the optional --managed flag is provided, lists Panther-managed rules

To see a full list of command options, run $ pypanther list rules --help

None

get rule $RULE_ID

Gets the attributes of a single rule. Can also retrieve the original class definition

To see a full list of command options, run $ pypanther get rule --help

None

test

Learn more in Running tests. To see a full list of command options, run $ pypanther test --help

None

upload

Warning: In order to use the pypanther upload functionality, it must first be enabled for you. If you would like to upload detections, please reach out to your Panther Support team.

Learn more in Uploading PyPanther Detections to Panther. To see a full list of command options, run $ pypanther upload --help

Bulk Upload

convert

Converts v1 rules and helpers into PyPanther format. Learn more in Using convert, below. To see a full list of command options, run $ pypanther convert --help

None

Authenticating CLI commands

Certain pypanther CLI commands, like upload, require authentication with your Panther instance. This means they require a valid Panther API host URL and API token. After you locate/generate these values, you will make them visible to pypanther.

Step 1: Locate/generate your Panther API host URL and token

Step 2: Make API host and token values visible to pypanther

Once you have API host and token values, you can choose how to expose them to pypanther when you are executing a CLI command. The following methods are in order of precedence, meaning option one overrides option two:

  1. Pass the host and token on the command line using --api-token and --api-host.

  2. Set the host and token as environment variables using PANTHER_API_TOKEN and PANTHER_API_HOST.

Using convert

The pypanther convert command converts v1 rules and helpers into PyPanther format.

The convert command does not output a main.py file. You must create this yourself. Learn more about what to include in main.py content recommendations.

When converting a v1 rule, convert first checks whether it is custom or Panther-managed (by looking at its RuleId). If it's a custom rule, convert creates a straightforward translation of the rule.

If it's a Panther-managed rule, convert attempts to make as minimal of an override as possible. This means:

  • If there have only been modifications to the Panther-managed rule's attributes (i.e., the fields stored in the YAML file in v1), and not to its alert functions, the Panther-managed rule is overridden using override to make the same customization(s) in PyPanther.

    • The overrides are made in an apply_overrides function inside a log type-specific file that is stored in an overrides directory.

  • If there have been modifications made to any of the Panther-managed rule's alert functions, a rule is created that subclasses the Panther-managed rule. The subclassed rule defines all alert functions that were modified in v1 (in addition to any modified attributes).

    • The subclassed rule is created in a new file inside the rules directory.

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