ocsf-validator 0.2.2

OCSF Schema Validation

OCSF Schema Validator

A utility to validate contributions to the OCSF schema, intended to prevent human error when contributing to the schema in order to keep the schema machine-readable.

OCSF provides several include mechanisms to facilitate reuse, but this means individual schema files may be incomplete. This complicates using off-the-shelf schema definition tools for validation.

Query is a federated search solution that normalizes disparate security data to OCSF. This validator is adapted from active code and documentation generation tools written by the Query team.

Getting Started

Prerequisites

• python >3.11
• pip
• A copy of the OCSF schema

Installation

You can install the validator with pip:

$ pip install ocsf-validator

Usage

You can run the validator against your working copy of the schema to identify problems before submitting a PR. Invoke the validator using python and provide it with the path to the root of your working copy.

Examples:

$ python -m ocsf_validator .
$ python -m ocsf_validator ../ocsf-schema

Tests

The validator performs the following tests on a copy of the schema:

• The schema is readable and all JSON is valid. [FATAL]
• The directory structure meets expectations. [WARNING]
• The targets in $include, profiles, and extends directives can be found. [ERROR]
• All required attributes in schema definition files are present. [WARNING]
• There are no unrecognized attributes in schema definition files. [WARNING]
• All attributes in the attribute dictionary are used. [WARNING]
• There are no name collisions within a record type. [WARNING]
• All attributes are defined in the attribute dictionary. [WARNING]

If any ERROR or FATAL tests fail, the validator exits with a non-zero exit code.

Technical Overview

The OCSF metaschema is represented as record types by filepath, achieved as follows:

1. Record types are represented using Python's type system by defining them as Python TypedDicts in types.py. This allows the validator to take advantage of Python's reflection capabilities.
2. Files and record types are associated by pattern matching the file paths. These patterns are named in matchers.py to allow mistakes to be caught by a type checker.
3. Types are mapped to filepath patterns in type_mapping.py.

The contents of the OCSF schema to be validated are primarily represented as a Reader defined in reader.py. Readers load the schema definitions to be validated from a source (usually from a filesystem) and contain them without judgement. The process_includes function and other contents of processor.py mutate the contents of a Reader by applying OCSF's various include mechanisms.

Validators are defined in validators.py and test the schema contents for various problematic conditions. Validators should pass Exceptions to a special error Collector defined in errors.py. This module also defines a number of custom exception types that represent problematic schema states. The Collector raises errors by default, but can also hold them until they're aggregated by a larger validation process (e.g., the ValidationRunner).

The ValidationRunner combines all of the building blocks above to read a proposed schema from a filesystem, validate the schema, and provide useful output and a non-zero exit code if any errors were encountered.

Contributing

After checking out, you'll want to install dependencies:

poetry install

Before committing, run the formatters and tests:

poetry run isort .
poetry run black .
poetry run pyright
poetry run pytest

If you're adding a validator, do the following:

• Write your validate_ function in validate.py to apply a function to the relevant keys in a reader that will run your desired validation. See validators.py for examples.
• Add any custom errors in errors.py.
• Create an option to change its severity level in ValidatorOptions and map it in the constructor of ValidationRunner in runner.py.
• Invoke the new validator in ValidationRunner.validate.