Skip to main content

Python package for managing the LOOBins model and schema.

Project description

PyLOOBins

PyLOOBins is a Python SDK and command-line utility for programmatically interacting with LOOBins.

You can download PyLOOBins from PyPI by running the following command: pip install pyloobins

PyLOOBins requires Python 3.8 or later.

Usage

Command-line

You can run pyloobins --help to see the available commands and options.

>>> pyloobins --help

Usage: pyloobins [OPTIONS] COMMAND [ARGS]...

  Create, validate, and view LOOBin objects.

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  create       Create a YAML template file for a new LOOBin.
  export-stix  Export the LOOBins STIX bundle file.
  get          Get a LOOBin object.
  validate     Validate a LOOBin YAML file.

You can run pyloobins <command> --help to see the available options for a specific command.

>>> pyloobins validate --help
Usage: pyloobins validate [OPTIONS]

  Validate a LOOBin YAML file.

Options:
  --path TEXT  The path of the LOOBin YAML file to validate.  [required]
  --help       Show this message and exit.

SDK

You can use pyloobins as a Python SDK to programmatically interact with LOOBins.

pyloobins.util

The util module can be used to get LOOBin objects from the LOOBins API, validate LOOBin YAML files, and create LOOBin YAML templates.

Example: get all LOOBins and print a list of the use case code.

from pyloobins import util

loobins = util.get_loobins()

for loobin in loobins:
  for uc in loobin.example_use_cases:
    print(f"{loobin.name}: {uc.code}")

pyloobins.models

The models module contains the classes that represent a LOOBin and its various components.

Example: programmitcally create a LOOBin object.

from pyloobins.models import Detection, ExampleUseCase, LOOBin, Resource

l = LOOBin(
        name="",
        short_description="A short description of the binary goes here.",
        full_description="A full length description of the binary goes here.",
        author="Enter your name or alias here.",
        created=date.today(),
        example_use_cases=[
            ExampleUseCase(
                name="An Example Use Case",
                description="A description of the use case goes here.",
                code="A code snippet goes here.",
                tactics=["Discovery"],
                tags=["example_tag", "another_tag"],
            )
        ],
        paths=["/enter/binary/path/here"],
        detections=[
            Detection(
                name="A detection source (e.g. Sigma)",
                url="https://urltodetection.here",
            )
        ],
        resources=[
            Resource(
                name="Name of resources.",
                url="https://urlofexternalreference.here",
            )
        ],
        acknowledgements=["Enter any acknowledgements here."],
    )

with open ("loobin.yaml", "w") as f:
  f.write(l.to_yaml())

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

pyloobins-2.0.7.tar.gz (46.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyloobins-2.0.7-py3-none-any.whl (19.9 kB view details)

Uploaded Python 3

File details

Details for the file pyloobins-2.0.7.tar.gz.

File metadata

  • Download URL: pyloobins-2.0.7.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.10.19 Linux/6.11.0-1018-azure

File hashes

Hashes for pyloobins-2.0.7.tar.gz
Algorithm Hash digest
SHA256 9bf4e588fbbdd26f5a43f707dffd35b04b7b4cfe52b2999cc2580d3b9d36f62d
MD5 c4973aaeed7779bbe32807d1a88ded7e
BLAKE2b-256 893f43c7e028af2346cfe9b2cfcf78e8aeb2b6e643605dfe1a3d4d1b1e4635ef

See more details on using hashes here.

File details

Details for the file pyloobins-2.0.7-py3-none-any.whl.

File metadata

  • Download URL: pyloobins-2.0.7-py3-none-any.whl
  • Upload date:
  • Size: 19.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.10.19 Linux/6.11.0-1018-azure

File hashes

Hashes for pyloobins-2.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 757d4e47685f5b82a82ff0756e3f598e01b928b11d48b7858d99c03a3471dde9
MD5 45075fdf04e963d31e83d5b4cb150a00
BLAKE2b-256 8840c60fd155bb4e716d67019db1be99b3b011ce88e25ed537ec1984655c184f

See more details on using hashes here.

Supported by

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