snyk
detect-secrets
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snyk | detect-secrets | |
---|---|---|
62 | 20 | |
4,065 | 3,449 | |
- | 2.1% | |
9.9 | 8.1 | |
over 1 year ago | 7 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 or later | 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.
snyk
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How to secure JavaScript applications right from the CLI
There are a number of ways that you can install the Snyk CLI on your machine, ranging from using the available stand-alone executables to using package managers such as Homebrew for macOS and Scoop for Windows.
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Axios shipped a buggy version and it broke many productions apps. Let this be a lesson to pin your dependencies!
There's tons of tools to solve each of these problems Snyk for vulnerability scanning, tons of license checker plugins (like we use license-webpack-plugin which generates the license text for everything we distribute and fails a build if a license doesn't have one of our allowlisted licenses.
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The US military wants to understand the most important software on Earth - Open-source code runs on every computer on the planet—and keeps America’s critical infrastructure going. DARPA is worried about how well it can be trusted
oh, such companies already exist: For example Snyk
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Badges - TL;DR for your repository's README
Snyk provides security score and vulnerability count badges, which you can link to the relevant pages, as in these examples:
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If you had a few days to improve an existing Rails project before going live - what would you focus on?
If you app is dockerized I would recommend adding something like Snyk to make sure your image is safe.
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NodeSecure CLI v2.0.0
Note: I remind you that we support multiple strategy for vulnerabilities like Sonatype or Snyk.
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Free project-leading mentorship for senior engineers
My name is Adam, and I am a software engineer working at Snyk for the past 2.5 years. Over the past year, I have been leading a few projects that spanned multiple teams. My colleague is a tech lead at Snyk, and he’s been coaching people on how to lead projects effectively for a few years now.
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What should I expect from a MacOS development environment in enterprise?
So I'm curious, how are businesses building iOS apps securely? Could a tool like Snyk replace a manual audit, or is it a good idea to have an initial manual audit of our desired environment?
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RFC: A Full-stack Analytics Platform Architecture
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes into master, the code is pushed directly to the public environment. Deployment also occurs when a push is made to a development branch enabling local/e2e testing before push to master. In this manner the master branch can be kept clean and ready for deployment most of the time. Problems that surface resulting from changes are visible before reaching master. Additional automated tools are used. Docker images are built for each microservice on commit to a development or master branch, a static code analysis is performed by SonarCloud revealing quality and security problems, Snyk provides vulnerability analysis and CodeClimate provides feedback on code quality while Coveralls provides test coverage. Finally, a CircleCI build is done. Each of these components use badges which give a heads-up display of the health of the system being developed. Incorporating each of these tools into the development process will keep the code on a trajectory of stability. For example, eliminating code smells, security vulnerabilities, and broken tests before merging a pull-request (PR) into master. Using Husky on development machines to ensure that code is well linted and locally tested before it is allowed to be pushed to source-control management (SCM). Applying additional processes such as writing tests around bugs meaning reintroduction of a given bug would cause a test to fail. The automated tools would then require that test to be fixed before push to SCM meaning fewer bugs will be reintroduced. Proper development processes and automation have a strong synergy.
- test ad
detect-secrets
- Rotz: Cross platform dotfile manager written in Rust
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Detecting Secrets in Git Repositories
I searched a bit and found: https://github.com/Yelp/detect-secrets
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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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"um": GPT-powered CLI Assistant
Respecting your privacy: To protect your sensitive data, um uses the excellent detect-secrets python library to remove passwords and tokens before indexing commands. Also our OpenAI account is opted out of collecting and using data for training the next versions of GPT.
- DataSurgeon: Quickly Extracts IP's, Email Addresses, Hashes, Files, URLs, Phone numbers and more from text
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Protect yourself from accidentally leaking sensitive information
exclude: "^/migrations/" default_stages: [ commit, push ] default_language_version: python: python3 repos: - repo: https://github.com/Yelp/detect-secrets rev: v1.4.0 hooks: - id: detect-secrets name: Detect secrets language: python entry: detect-secrets-hook args: ['--baseline', '.secrets.baseline']
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My setup for publishing to Dev.to using github
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v2.3.0 hooks: - id: check-yaml - id: end-of-file-fixer - id: trailing-whitespace - repo: https://github.com/Yelp/detect-secrets rev: v1.4.0 hooks: - id: detect-secrets - repo: https://github.com/igorshubovych/markdownlint-cli rev: v0.33.0 hooks: - id: markdownlint args: ["--disable=MD013"] # this removes line length warnings
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Toyota Accidently Exposed a Secret Key Publicly on GitHub for Five Years
Yelp has a "detect-secrets" project that can detect potential secrets and can be used as a pre-commit hook: https://github.com/Yelp/detect-secrets
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Implement DevSecOps to Secure your CI/CD pipeline
detect-secret is an enterprise-friendly tool for detecting and preventing secrets in the code base. We can also scan the non-git tracked files. There are other tools as well like Gitleaks which also provide similar functionality.
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Enable secure access to secrets for AWS ECS containers using Terraform - ecs-secrets-manager module
As presented in the report, a lot of secrets are hardcoded in the Git repository. This can be detected by secret detection tools. There are OSS like https://github.com/Yelp/detect-secrets or SaaS alternatives. The detection process can be executed by every team member locally using Git Hooks and on Github using Github Checks on the Pull Request level.
What are some alternatives?
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
trufflehog - Find and verify credentials
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
SonarQube - Continuous Inspection
gitleaks - Protect and discover secrets using Gitleaks 🔑
renovate
truffleHogRegexes - These are the regexes that power truffleHog
nsp
ggshield - Find and fix 360+ types of hardcoded secrets and 70+ types of infrastructure-as-code misconfigurations.
Themis - Easy to use cryptographic framework for data protection: secure messaging with forward secrecy and secure data storage. Has unified APIs across 14 platforms.
talisman - Using a pre-commit hook, Talisman validates the outgoing changeset for things that look suspicious — such as tokens, passwords, and private keys.