Usage ===== As A Script ----------- The validator comes with a bundled script which you can use to validate a JSON file containing STIX content: :: $ stix2_validator As A Library ------------ You can also use this library to integrate STIX validation into your own tools. You can validate a JSON file: .. code:: python from stix2validator import validate_file, print_results results = validate_file("stix_file.json") print_results(results) You can also validate a JSON string, and check if the input passed validation: .. code:: python from stix2validator import validate_string, print_results stix_json_string = "..." results = validate_string(stix_json_string) if results.is_valid: print_results(results) If your STIX is already in a Python dictionary (for example if you have already run ``json.loads()``), use ``validate_instance()`` instead: .. code:: python import json from stix2validator import validate_instance, print_results stix_json_string = "..." stix_obj = json.loads(stix_json_string) results = validate_instance(stix_obj) if results.is_valid: print_results(results) You can pass a ValidationOptions object into ``validate_file()``, ``validate_string()``, or ``validate_instance()`` if you want behavior other than the default: .. code:: python from stix2validator import ValidationOptions options = ValidationOptions(strict=True) results = validate_string(stix_json_string, options) STIX 2 Versions --------------- By default the validator will check content against the latest version of the STIX 2 specification. However, older versions can be checked with the ``version`` option. For example: :: $ stix2_validator --version=2.0 or in Python: .. code:: python options = ValidationOptions(strict=True, version="2.0") results = validate_string(stix_json_string, options) Additional Schemas ------------------ The validator uses the `STIX 2 JSON schemas `_ as the basis for its validation, but you can also validate with your own additional schemas. This can help if you want to validate STIX content using extensions or (now deprecated) custom objects, properties, or observables. To do this use the ``--schemas`` argument: :: $ stix2_validator --schemas /path/to/my/schemas or in Python, using ``schema_dir``: .. code:: python from stix2validator import ValidationOptions options = ValidationOptions(strict=True, version="2.1", schema_dir="/path/to/custom/schemas") results = validate_file("stix_file.json") print_results(results) You can see some examples of custom schemas `here `_. .. note:: The schema's filename must match the extension definition id of the extension it describes so the validator can apply it correctly. For example, a schema defining a new extension with an id of ``extension-definition--bfaece0b-efa6-4dfa-8248-3d340e2030f8`` should be named `extension-definition--bfaece0b-efa6-4dfa-8248-3d340e2030f8.json`. .. note:: Custom objects and properties using the ``x_`` and ``x-`` prefixes have been deprecated in STIX 2.1. However, if you need a schema for validating them, the validator can parse it as long as the schema's filename matches the type name of the STIX object type it should apply to. For example, a schema defining a new property on Indicators should be named ``indicator.json``. A schema defining a new object type, “my-cool-thing”, would need to be named ``my-cool-thing.json``. .. note:: When using additional schemas, the validator's built-in schemas are still checked against. Thus custom schemas only need to contain the properties that differ from the standard.