
kube-hunter
Automated security weakness hunting and vulnerability exploitation for Kubernetes clusters.
Static analysis security scanner for your Terraform code.

tfsec is a static analysis security scanner specifically designed for Terraform code. It analyzes Terraform configurations to identify potential security vulnerabilities and misconfigurations before infrastructure is provisioned. By integrating tfsec into the CI/CD pipeline, organizations can proactively prevent common security issues related to cloud infrastructure. It works by parsing the Terraform code, evaluating resource configurations against a comprehensive rule set, and reporting any violations found. tfsec supports a wide range of cloud providers, including AWS, Azure, and GCP. The value proposition lies in its ability to shift security left, reducing the risk of deploying vulnerable infrastructure and minimizing potential security incidents. The use cases include identifying overly permissive security group rules, ensuring encryption is enabled on storage buckets, and enforcing compliance with security best practices.
tfsec is a static analysis security scanner specifically designed for Terraform code.
Explore all tools that specialize in parse terraform configuration. This domain focus ensures tfsec delivers optimized results for this specific requirement.
Explore all tools that specialize in identify misconfigurations. This domain focus ensures tfsec delivers optimized results for this specific requirement.
Explore all tools that specialize in enforce security best practices. This domain focus ensures tfsec delivers optimized results for this specific requirement.
Allows users to define custom rules for security scanning, tailoring tfsec to specific organizational needs and compliance requirements. Rules are defined using a YAML-based syntax.
tfsec can output results in SARIF (Static Analysis Results Interchange Format), enabling seamless integration with various security tools and platforms, such as GitHub Advanced Security.
Allows for the suppression of specific findings, typically by adding an annotation to the line flagged by tfsec, reducing noise and focusing attention on valid vulnerabilities
Allows users to create a baseline of existing vulnerabilities, ignoring them in subsequent scans until they are addressed. This feature helps teams focus on new vulnerabilities.
tfsec supports multiple cloud providers, including AWS, Azure, and GCP, allowing organizations to use a single tool for scanning Terraform code across different cloud environments.
Download the tfsec binary for your platform.
Configure tfsec by setting any custom rules or exclusions.
Integrate tfsec into your CI/CD pipeline using a suitable runner (e.g., GitHub Actions).
Run tfsec against your Terraform code using the command-line interface.
Review the tfsec report to identify any security violations.
Remediate the identified vulnerabilities by modifying your Terraform code.
Re-run tfsec to ensure the vulnerabilities are resolved.
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