codespell VS bandit

You probably should use a separate linter for this. I use codespell in Neovim. You can use it from CLI and it is not Python specific.

This plus codespell. Because we’d look like kindergartners otherwise.

I keep making silly tyops like that, so I always add codespell as one of the pre-commit hooks of all the repositories I own.

codespell

codespell checks for typos. We chose this tool because it is based on a list of common typos, which reduces the number of false positives to a minimum.

Something like https://github.com/codespell-project/codespell

--- # .pre-commit-config.yaml # ======================== # # pre-commit clean # pre-commit install # pre-commit install-hooks # # precommit hooks installation # # - pre-commit autoupdate # # - pre-commit run black # # continuous integration # ====================== # # - pre-commit run --all-files # repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.0.1 hooks: - id: trailing-whitespace - id: end-of-file-fixer - id: debug-statements - id: check-merge-conflict - id: sort-simple-yaml - id: fix-encoding-pragma args: ["--remove"] - id: forbid-new-submodules - id: mixed-line-ending args: ["--fix=lf"] description: Forces to replace line ending by the UNIX 'lf' character. - id: check-added-large-files args: ["--maxkb=500"] - id: no-commit-to-branch args: [--branch, master] - id: check-yaml - id: check-json files: ^tests/app/ - id: pretty-format-json args: ["--no-sort-keys", "--autofix"] files: ^tests/app/ - repo: meta hooks: - id: check-hooks-apply - id: check-useless-excludes - repo: https://github.com/ambv/black rev: 21.5b1 hooks: - id: black language_version: python3.9 - repo: https://github.com/PyCQA/bandit rev: 1.7.0 hooks: - id: bandit description: Security oriented static analyser for python code exclude: tests/|scripts/ args: - -s - B101 - repo: https://github.com/codespell-project/codespell rev: v2.1.0 hooks: - id: codespell name: codespell description: Checks for common misspellings in text files. entry: codespell language: python types: [text] - repo: https://github.com/asottile/pyupgrade rev: v2.19.4 hooks: - id: pyupgrade

Bandit is a tool designed to find common security issues in Python code. It was developed by the OpenStack Security Project and is a great addition to any serious Python project.

For the SAST stage, I used SonarQube tool. SonarQube is an open-source platform developed by SonarSource for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs and code smells on more than 30 programming languages. I preferred SonarQube instead of other SAST tools because it has a detailed documentation and plugins about integration with Jenkins and SonarQube works with Java projects pretty well. Of course you can similar multi-language-supported tools such as Semgrep or language-specific tools such as Bandit.

repos: - repo: https://github.com/PyCQA/bandit rev: 1.7.7 hooks: - id: bandit args: ["-c", "pyproject.toml", "-r", "."] additional_dependencies: ["bandit[toml]"]

On the other hand, Bandit is a dedicated security scanner designed to target critical security concerns such as SQL injection and cross-site scripting exploits. It meticulously scrutinizes the codebase to identify and alert developers about possible security breaches or vulnerabilities, thus fortifying the code against potential exploitation.

Bandit: is a tool designed for Python applications to analyse your code for potential security issues like insecure use of functions, hardcoded password and much more.

Bandit (for Python, open-source and free)

Add security checks (Bandit) and dependency checks (safety)

bandit

flake8-bandit which uses bandit for security linting.