
Security News
Bun 1.2.19 Adds Isolated Installs for Better Monorepo Support
Bun 1.2.19 introduces isolated installs for smoother monorepo workflows, along with performance boosts, new tooling, and key compatibility fixes.
Automated security testing built right into your workflow!
You already use flake8 to lint all your code for errors, ensure docstrings are formatted correctly, sort your imports correctly, and much more... so why not ensure you are writing secure code while you're at it? If you already have flake8 installed all it takes is pip install flake8-bandit
.
To include or exclude tests, use the standard .bandit
configuration file. An example valid .bandit
config file:
[bandit]
exclude = /frontend,/scripts,/tests,/venv
tests: B101
In this case, we've specified to ignore a number of paths, and to only test for B101.
Note: flake8-bugbear uses bandit default prefix 'B' so this plugin replaces the 'B' with an 'S' for Security. For more information, see https://github.com/PyCQA/flake8-bugbear/issues/37
We use the bandit package from PyCQA for all the security testing.
FAQs
Automated security testing with bandit and flake8.
We found that flake8-bandit 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.
Security News
Bun 1.2.19 introduces isolated installs for smoother monorepo workflows, along with performance boosts, new tooling, and key compatibility fixes.
Security News
Popular npm packages like eslint-config-prettier were compromised after a phishing attack stole a maintainer’s token, spreading malicious updates.
Security News
/Research
A phishing attack targeted developers using a typosquatted npm domain (npnjs.com) to steal credentials via fake login pages - watch out for similar scams.