Checkov — Static Security Scanning for IaC and Containers
Checkov is a Bridgecrew static-analysis tool that scans Terraform, CloudFormation, Kubernetes, Helm, Dockerfile, and more for misconfigurations and policy violations before anything is deployed.
Agent 可直接安装
这个资产可安装;Agent 先选择当前运行时、检查安装计划,再运行匹配命令。
npx -y tokrepo@latest install accdd5bb-38fa-11f1-9bc6-00163e2b0d79 --target codex先 dry-run 确认安装计划,再运行此命令。
What it is
Checkov is a static analysis tool by Bridgecrew (now part of Palo Alto Networks) that scans infrastructure-as-code files for security misconfigurations and policy violations. It supports Terraform, CloudFormation, Kubernetes manifests, Helm charts, Dockerfiles, and more.
It targets DevOps engineers, platform teams, and security practitioners who want to catch cloud misconfigurations in code before anything is deployed to production.
How it saves time or tokens
Checkov shifts security left by finding issues during development rather than after deployment. Running it in CI catches problems like open S3 buckets, overly permissive IAM policies, or unencrypted databases before they reach production. This avoids costly remediation cycles.
How to use
- Install Checkov:
pipx install checkov
- Scan a directory of Terraform files:
checkov -d ./terraform
- Review the output for passed and failed checks, then fix the flagged resources.
Example
# Install
pipx install checkov
# Scan Terraform directory
checkov -d ./terraform
# Scan a specific file
checkov -f main.tf
# Output as JSON for CI integration
checkov -d ./terraform -o json
# Skip specific checks
checkov -d ./terraform --skip-check CKV_AWS_18,CKV_AWS_21
Related on TokRepo
- AI Tools for Security — Security scanning and compliance tools
- AI Tools for DevOps — DevOps automation and infrastructure tools
Key considerations
When evaluating Checkov for your workflow, consider the following factors. First, assess whether your team has the technical prerequisites to adopt this tool effectively. Second, evaluate the maintenance burden against the productivity gains. Third, check community activity and documentation quality to ensure long-term viability. Integration with your existing toolchain matters more than feature count alone. Start with a small pilot project before rolling out across the organization. Monitor resource usage during the initial adoption phase to identify bottlenecks early. Document your configuration decisions so team members can onboard independently.
Common pitfalls
- Checkov may flag valid configurations as failures if your organization uses custom patterns; use inline skip comments or a config file to suppress false positives.
- Scanning large mono-repos with thousands of IaC files can be slow; scope scans to specific directories.
- Some checks require external context (e.g., variable values from tfvars) that Checkov cannot resolve statically.
常见问题
Checkov supports Terraform (HCL and plan files), CloudFormation (YAML and JSON), Kubernetes manifests, Helm charts, Dockerfiles, ARM templates, Serverless Framework, and more. The full list is in the documentation.
Yes. Checkov has exit codes that fail the pipeline when checks fail. It outputs JSON, JUnit XML, and SARIF formats for integration with GitHub Actions, GitLab CI, Jenkins, and other CI systems.
Checkov supports custom policies written in Python or as simple YAML definitions. Python policies give full flexibility, while YAML policies use a declarative format for common attribute checks.
Checkov is open-source and free under the Apache 2.0 license. Bridgecrew/Prisma Cloud offers a commercial platform with additional features like drift detection and supply chain security.
Both scan Terraform for security issues. Checkov covers more IaC formats beyond Terraform. tfsec is Terraform-specific and has been absorbed into Trivy. Choose based on whether you need multi-format support.
引用来源 (3)
- Checkov GitHub— Scans Terraform, CloudFormation, Kubernetes, Helm, and Dockerfile
- Checkov Documentation— Static analysis for IaC misconfigurations
- Prisma Cloud Code Security— Part of Palo Alto Networks Prisma Cloud
讨论
相关资产
Terrascan — Static Analysis for Infrastructure as Code Security
Terrascan detects security vulnerabilities and compliance violations across Terraform, Kubernetes, Helm, CloudFormation, and Dockerfiles before you deploy, with over 500 built-in policies based on industry benchmarks.
tfsec — Static Security Scanner for Terraform Code
Catch security misconfigurations in Terraform before they reach production. tfsec scans HCL files for hundreds of cloud security rules across AWS, Azure, and GCP with zero configuration.
Bandit — Python Security Linter for Finding Vulnerabilities
Bandit is a static analysis tool designed to find common security issues in Python code, scanning for hardcoded passwords, SQL injection, unsafe deserialization, and more.
Gosec — Security Scanner for Go Source Code
A static analysis tool that inspects Go source code for security vulnerabilities by scanning the AST for patterns like SQL injection, hardcoded credentials, insecure crypto usage, and other common security issues.