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The STIX generator is a tool for generating random STIX content for prototyping and testing. It uses a simple, sentence-like syntax for expressing what STIX content to generate. This tool is provided in three forms: as a Jupyter notebook, as a commandline tool, and a Python library.
For more information, see the documentation on ReadTheDocs.
The Jupyter notebook provides an interactive environment to input generator syntax and view the generated content. Go here to launch the environment.
Open stix.ipynb in Jupyter to use the tool. Look at examples.ipynb for
documentation and examples of the syntax.
To use the notebook locally, install the generator's dependencies including the jupyter extras, and run Jupyter:
pip install -e .[jupyter]
jupyter nbextension install stix2viz --py
jupyter nbextension enable stix2viz --py
jupyter notebookNote
If you are using the JupyterLab interface, the STIX generator notebook extension can only be used in classic mode.
The build_stix commandline tool reads prototyping language from a file, and prints the generated objects to stdout. If a bundle is selected, the bundle is printed instead.
usage: build_stix.py [-h] [-b] [-e ENCODING] [-v]
[--stix-version {2.0,2.1}]
[--extra-specs EXTRA_SPECS] [-n] [-c CONFIG]
language-file
Create STIX content from the STIX prototyping language
positional arguments:
language-file The file containing STIX prototyping language
optional arguments:
-h, --help show this help message and exit
-b, --bundle Create a bundle
-e ENCODING, --encoding ENCODING
Encoding to use when reading text files, e.g. STIX
prototyping language, custom generator
specifications, etc. Default=utf-8
-v, --verbose Enable verbose diagnostic output. Repeat for
increased verbosity.
--stix-version {2.0,2.1}
STIX version to use. Default=2.1
--extra-specs EXTRA_SPECS
A JSON file with extra object generator
specifications. These will be merged with the
built-in specifications, and made available for
use in prototyping language content.
-n, --embed-variable-names
Embed variable names in generated objects using a
custom property.
-c CONFIG, --config CONFIG
Config file with options to customize how content
is generated.
The generate_stix tool is used for more general object generation, which does not require a language file to be specified:
usage: generate_stix.py [-h] [--min-rels MIN_RELS] [--max-rels MAX_RELS]
[--p-reuse P_REUSE] [--p-sighting P_SIGHTING]
[--dangling-refs] [--ref-max-depth REF_MAX_DEPTH] [-v]
[--stix-version {2.0,2.1}] [-b]
Generation random STIX content
optional arguments:
-h, --help show this help message and exit
--min-rels MIN_RELS Minimum number of SROs to create. Default=1
--max-rels MAX_RELS Maximum number or SROs to create. Default=5
--p-reuse P_REUSE Probability of object reuse, when creating new
connections among objects. Must be a real number in
[0, 1]. Lower values result in a graph with more nodes
and less interconnection. Higher values result in a
graph with fewer nodes and more interconnection.
Default=0.5
--p-sighting P_SIGHTING
Probability that when an SRO is added, it is a
sighting. Must be a real number in [0, 1]. Default=0.1
--dangling-refs Leave reference properties "dangling". Don't force
them to refer to existing objects. Applies to all
reference properties *except* the endpoints of SROs.
--ref-max-depth REF_MAX_DEPTH
If creating a new object to avoid a dangling reference,
the new object could itself have reference properties;
new objects created to satisfy those could themselves
have reference properties, etc. This setting limits how
far we grow this "reference graph". Enforcement of this
limit is best-effort; reference properties required by
the specification may cause further growth. Only
applicable if --dangling-refs is not given. Must be a
non-negative integer. Default=0
-v, --verbose Enable verbose diagnostic output. Repeat for increased
verbosity.
--stix-version {2.0,2.1}
STIX version to use. Default=2.1
-b, --bundle Create a bundle
You can also generate STIX objects programmatically in a Python script. This can be useful when the generated objects are used in Python code.
The fastest and easiest way to create random STIX objects is with the create_stix_generator object:
import stix2generator
generator = stix2generator.create_stix_generator()
generated = generator.generate()This creates a dictionary of objects related to each other, easy to submit to a taxii server or sent through the stix validator.
You can create single objects of a specified type using create_object_generator:
object_generator = stix2generator.create_object_generator()
object = object_generator.generate("indicator")A given configuration object can produce more specific results, if necessary:
config = stix2generator.generation.object_generator.Config(optional_property_probability=.25, minimize_ref_properties=False)
object_generator = stix2generator.create_object_generator(object_generator_config=config)
object = object_generator.generate("indicator")You can also use the language_processor object in a similar fashion as the build_stix command-line tool. This will produce a list objects based around the text you give to the build_graph function. In the case below, a malware and an identity object are created with a relationship object linking them together:
language_processor = stix2generator.create_default_language_processor()
objects = language_processor.build_graph("Malware targets Identity.")The tool generates random data for all properties, so it may be nonsensical but will have the correct datatype or structure according to the STIX specification.
The object generator currently only generates STIX 2.1 objects. The commandline tool and some APIs will error out if any STIX version other than "2.1" is used.
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