bandit
gitleaks
Our great sponsors
bandit | gitleaks | |
---|---|---|
21 | 35 | |
5,989 | 15,225 | |
2.4% | 2.8% | |
8.2 | 8.2 | |
5 days ago | 10 days ago | |
Python | Go | |
Apache License 2.0 | MIT License |
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.
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.
gitleaks
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How to use Lefthooks in your node project?
install gitleaks in your machine gitleaks
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I Analyzed StackOverflow for Secrets
> gitleaks : fatal error: runtime: out of memory
Should be fixed now: https://github.com/gitleaks/gitleaks/pull/1292. Thanks for highlighting this simple change I've been putting off :)
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[Help Needed] Securing Customized Gitleaks and Backend Communication?
I work in IT and we're enhancing our 'Shift Left Security' approach to prevent sensitive data leaks in our GitHub repositories. We've customized Gitleaks to send git-related information (like remote repository, author details, commit hash etc.) to our backend after each commit. This setup helps us monitor Gitleaks usage among our developers. (gitleaks)
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Go Security Scanner
Cool. What features/capabilities are different compared to gitleaks?
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My boss keeps committing his creds into git
To add my anecdote, testing out Trufflehog versus Gitleaks and detect-secrets the other tools seemed superior on detection rate and easier to work with.
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Tools for very basic security audits
Some tools to consider: Gitleaks - open-source secret scanner for git repositories, files, and directories. Retire.js - dependency check tool for client JS code. Censys - It’s a search engine that you can use, for example, to scan any IP address and check open ports, software versions, location of the servers, etc. If you want to check more tools, you can download this free ebook with a list of recommended security tools: https://brightinventions.pl/blog/app-security-free-ebook/ The listed tools are free or offer free trials.
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About secret scanning
bonuses: - https://github.com/trufflesecurity/trufflehog - https://github.com/gitleaks/gitleaks
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Someone has access to my private repos = I lost 140k
I GET IT I need to follow best practice and not upload any sensitive information, even if its a private repo. But through my 10 yeras of coding it happened twice. However these keys only lived in 2 areas: my laptop and GITHUB. My laptop is pretty secured, and the timing of the above events just make me really think someone internally at Github is running https://github.com/gitleaks/gitleaks on private repos he / she has access to.
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any open source that checks security vulnerabilities in code?
Maybe https://github.com/gitleaks/gitleaks is what you are looking for
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Securing the software supply chain in the cloud
Gitleaks
What are some alternatives?
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.
trufflehog - Find and verify credentials
pre-commit-hooks - Some out-of-the-box hooks for pre-commit
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
safety - Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.
git-secrets - Prevents you from committing secrets and credentials into git repositories
flake8-bandit - Automated security testing using bandit and flake8.
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
black - The uncompromising Python code formatter
husky - git hooks made easy
mypy - Optional static typing for Python
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.