safety
bandit
safety | bandit | |
---|---|---|
7 | 21 | |
1,631 | 6,008 | |
0.9% | 1.6% | |
6.5 | 8.2 | |
about 1 month ago | 4 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
safety
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Safety and Dependabot complement these security tools by focusing on external dependencies. Safety takes charge of examining your dependencies, ensuring they are up-to-date and free from any known vulnerabilities. Dependabot works similarly, scanning dependencies, verifying if they're current and assessing them for potential security flaws. This function is crucial as weaknesses in external dependencies can compromise the security of the entire codebase.
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Any resources for writing production-grade code in Python?
https://pyup.io/safety/ for security checks of dependencies
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On dependency on external libraries
I'm trying this tool at the moment: https://pyup.io/safety/
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I think the CTX package on PyPI has been hacked!
Checking could be done if something like this eventually shows up in safety or pip-audit.
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Creating A Modern Python Development Environment
A 2021 security report by Snyk, states 47% of Python projects contain known vulnerabilities. On the bright hand side, almost 87% of known vulnerabilities can be resolved by upgrading the vulnerable package. Safety checks your installed dependencies for known security vulnerabilities.
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Modern Python setup for quality development
safety: Safety checks your installed dependencies for known security vulnerabilities.
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My IT department at work wants to ban Anaconda and replace it with ???
There is a python project called "safety". https://github.com/pyupio/safety If you run this after every package install or update and on a regular cadence it should catch the worst offenders much easier than having someone manually review every package.
bandit
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Enhance Your Project Quality with These Top Python Libraries
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.
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Creating a DevSecOps pipeline with Jenkins — Part 1
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.
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Enhance your python code security using bandit
repos: - repo: https://github.com/PyCQA/bandit rev: 1.7.7 hooks: - id: bandit args: ["-c", "pyproject.toml", "-r", "."] additional_dependencies: ["bandit[toml]"]
- Show HN: Codemodder – A new codemod library for Java and Python
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
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.
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The Uncreative Software Engineer's Compendium to Testing
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.
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The 36 tools that SaaS can use to keep their product and data safe from criminal hackers (manual research)
Bandit (for Python, open-source and free)
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Which CI/CD learn first?
Add security checks (Bandit) and dependency checks (safety)
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Why are python coding standards such a mess, what is everything and where do I start?
bandit
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Python toolkits
flake8-bandit which uses bandit for security linting.
What are some alternatives?
pre-commit-hooks - git pre-commit hooks that work with http://pre-commit.com/
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
pre-commit-hooks - Some out-of-the-box hooks for pre-commit
pattern-matching-in-python - Pattern Matching in Python
flake8-bandit - Automated security testing using bandit and flake8.
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
black - The uncompromising Python code formatter
Check-WP-CVE-2020-35489 - The (WordPress) website test script can be exploited for Unlimited File Upload via CVE-2020-35489
mypy - Optional static typing for Python
ctx - A minimal but opinionated dict/object combo (like Bunch).
ale - Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support