
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.
:Test Status:
.. image:: https://img.shields.io/circleci/project/github/TheKevJames/coveralls-python/master.svg?style=flat-square&label=CircleCI
:target: https://circleci.com/gh/TheKevJames/coveralls-python
.. image:: https://img.shields.io/github/actions/workflow/status/TheKevJames/coveralls-python/test.yml?branch=master&style=flat-square&label=Github%20Actions
:target: https://github.com/TheKevJames/coveralls-python/actions
.. image:: https://img.shields.io/coveralls/TheKevJames/coveralls-python/master.svg?style=flat-square&label=Coverage
:target: https://coveralls.io/r/TheKevJames/coveralls-python
.. image:: https://img.shields.io/readthedocs/coveralls-python?style=flat-square&label=Docs
:target: http://coveralls-python.readthedocs.io/en/latest/
:Version Info:
.. image:: https://img.shields.io/pypi/v/coveralls.svg?style=flat-square&label=PyPI
:target: https://pypi.org/project/coveralls/
.. image:: https://img.shields.io/conda/v/conda-forge/coveralls?style=flat-square&label=Conda
:target: https://anaconda.org/conda-forge/coveralls
.. image:: https://img.shields.io/docker/v/thekevjames/coveralls?sort=semver&style=flat-square&label=Dockerhub
:target: https://hub.docker.com/r/thekevjames/coveralls
.. image:: https://img.shields.io/docker/v/thekevjames/coveralls?sort=semver&style=flat-square&label=Quay
:target: https://quay.io/repository/thekevjames/coveralls
:Compatibility:
.. image:: https://img.shields.io/pypi/pyversions/coveralls.svg?style=flat-square&label=Python%20Versions
:target: https://pypi.org/project/coveralls/
.. image:: https://img.shields.io/pypi/implementation/coveralls.svg?style=flat-square&label=Python%20Implementations
:target: https://pypi.org/project/coveralls/
:Downloads:
.. image:: https://img.shields.io/pypi/dm/coveralls.svg?style=flat-square&label=PyPI
:target: https://pypi.org/project/coveralls/
.. image:: https://img.shields.io/conda/dn/conda-forge/coveralls?style=flat-square&label=Conda
:target: https://anaconda.org/conda-forge/coveralls
.. image:: https://img.shields.io/docker/pulls/thekevjames/coveralls?style=flat-square&label=Dockerhub
:target: https://hub.docker.com/r/thekevjames/coveralls
coveralls.io
_ is a service for publishing your coverage stats online. This
package provides seamless integration with coverage.py
_ (and thus pytest
,
nosetests
, etc...) in your Python projects::
pip install coveralls
coverage run --source=mypkg -m pytest tests/
coveralls
For more information and usage instructions, see our documentation
_.
As of version 2.0, we have dropped support for end-of-life'd versions of Python and particularly old versions of coverage. Support for non-EOL'd environments is provided on a best-effort basis and will generally be removed once they make maintenance too difficult.
If you're running on an outdated environment with a new enough package manager
to support version checks (see the PyPA docs
_), then installing the latest
compatible version should do the trick automatically! If you're even more
outdated than that, please pin to coveralls<2
.
If you're in an outdated environment and experiencing an issue, you're welcome to open a ticket -- but please mention your environment! I'm willing to backport fixes to the 1.x branch if the need is great enough.
.. _Docs: http://coveralls-python.readthedocs.io/en/latest/ .. _coverage.py: https://coverage.readthedocs.io/en/latest/ .. _coveralls.io: https://coveralls.io/ .. _documentation: http://coveralls-python.readthedocs.io/en/latest/ .. _the PyPA docs: https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires
FAQs
Show coverage stats online via coveralls.io
We found that coveralls 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.
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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.
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