gitleaks VS checkov

1. Gitleaks: https://github.com/gitleaks/gitleaks Gitleaks provides a way for developers to find and prevent security breaches by scanning Git repositories for secrets like passwords and API keys.

install gitleaks in your machine gitleaks

> 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 :)

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)

Cool. What features/capabilities are different compared to gitleaks?

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.

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.

bonuses: - https://github.com/trufflesecurity/trufflehog - https://github.com/gitleaks/gitleaks

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.

Maybe https://github.com/gitleaks/gitleaks is what you are looking for

1. Checkov: https://github.com/bridgecrewio/checkov Checkov is a static code analysis tool that helps developers prevent cloud misconfigurations during the development phase by scanning Terraform, CloudFormation, Kubernetes, and more.

Checkov Owner/Maintainer: Prisma Cloud by Palo Alto Networks (acquired in 2021) Age: First released on GitHub on March 31st, 2021 License: Apache License 2.0

‍Checkov is another great tool that examines your Terraform files (.tf), parsing the configurations and evaluating them against a comprehensive set of predefined policies. It scans Terraform-managed infrastructure and detects misconfigurations that could lead to security issues or non-compliance with best practices and regulations.

Bridgecrew — Infrastructure as code (IaC) security powered by the open source tool - Checkov. The core Bridgecrew platform is free for up to 50 IaC resources.

Kustomize: It provides a solution to customize the Kubernetes resource base configuration and differential configuration without template and DSL. It does not solve the constraint problem itself, but needs to cooperate with a large number of additional tools to check constraints, such as Kube-linter, Checkov and kubescape.

Checkov is a versatile static code analysis tool designed for infrastructure as code (IaC) and software composition analysis (SCA). It supports a wide range of technologies, including Terraform, CloudFormation, Kubernetes, Docker, and others, to detect security and compliance issues through graph-based scanning. Checkov also performs SCA scans, identifying vulnerabilities in open source packages and images by checking for Common Vulnerabilities and Exposures (CVEs). Additionally, it is integrated into Prisma Cloud Application Security, a platform that helps developers secure cloud resources and infrastructure-as-code files, enabling the identification, rectification, and prevention of misconfigurations throughout the development lifecycle.

For your Dockerfiles, you can also scan them. There are lots of tools that can check your Dockerfiles. They will validate if Dockerfile is compliant with Docker best practices such as not using root user, making sure a health check exists, and not exposing the SSH port. You can use Snyk and Checkov.

You could try https://www.checkov.io/

We use https://www.checkov.io/ for this, it's very simple to get started with and works really well as PR quality gate

Once there is a CI pipeline for delivering infra changes you can add static code analysis tools (checkov) and even start testing changes (terratest)