
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
.. image:: https://img.shields.io/pypi/v/bdd-tester.svg :alt: PyPI Package latest release :target: https://pypi.org/project/bdd-tester/
.. image:: https://img.shields.io/pypi/l/bdd-tester.svg :alt: License :target: https://pypi.org/project/bdd-tester/
.. image:: https://img.shields.io/travis/pwyf/bdd-tester/master.svg :alt: Travis-CI Build Status :target: https://travis-ci.org/pwyf/bdd-tester
.. image:: https://img.shields.io/coveralls/github/pwyf/bdd-tester/master.svg :alt: Test coverage :target: https://coveralls.io/github/pwyf/bdd-tester?branch=master
Test data files using behaviour-driven development <https://en.wikipedia.org/wiki/Behavior-driven_development>
__
tests, in python.
It’s a tool to run
Gherkin <http://pythonhosted.org/behave/philosophy.html#the-gherkin-language>
__
tests (features) against (IATI) data – similar to Cucumber <https://cucumber.io>
__
(in Ruby) or Behave <https://pythonhosted.org/behave/>
__ (in Python).
Here’s a blog that nicely explains the idea. <http://blog.memespring.co.uk/2014/07/16/programatically-testing-regulatory-data/>
__
.. code:: shell
pip install bdd_tester
.. code:: shell
bdd_tester --feature [Feature file] --steps [Step file] [Data file]
For more options, run:
.. code:: shell
bdd_tester --help
.. code:: python
from bdd_tester import BDDTester
tester = BDDTester(step_definitions_filepath)
feature = tester.load_feature(feature_filepath)
result = feature.tests[0](*args, **kwargs)
FAQs
A very very basic BDD test runner
We found that bdd-tester demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.