aquasecurity/kube-bench

Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark

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Summary Information

Updated 36 minutes ago
Added to GitGenius on May 25th, 2022
Created on June 19th, 2017
Open Issues & Pull Requests: 95 (+0)
Number of forks: 1,334
Total Stargazers: 8,150 (+0)
Total Subscribers: 107 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.1 days
Mean response time: 168.0 days
90th percentile: 563.0 days
Tracked items: 51

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 3% of issues opened in the past year have been closed. Three people close 83% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 45
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 856 days
Stale 30+ days: 43
Stale 90+ days: 42

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 3
Events in 7 days: 9

Top labels

  • enhancement (36)
  • bug (24)
  • Good first issue (10)
  • help wanted (9)
  • question (9)
  • fix benchmark (7)
  • documentation (4)
  • RFC (2)

Detailed Description

Kube-bench is a Go-based security auditing tool developed by Aqua Security that validates whether Kubernetes deployments comply with security best practices defined in the CIS Kubernetes Benchmark. The tool automates the process of checking Kubernetes configurations against the Center for Internet Security's comprehensive security guidelines, enabling organizations to identify and remediate security misconfigurations in their Kubernetes environments.

The core functionality of kube-bench centers on running security checks documented in the CIS Kubernetes Benchmark through a configurable YAML-based test framework. This design choice makes the tool adaptable as security specifications and best practices evolve over time. Rather than hardcoding test logic, the YAML configuration approach allows the security checks to be updated independently of the tool's core codebase, facilitating rapid responses to emerging security threats and benchmark updates.

Kube-bench can be deployed in multiple ways within Kubernetes environments. The tool can run as a pod within a cluster, though it requires access to the host's PID namespace to inspect running processes and access to host directories containing configuration files and other necessary data. The repository provides a job.yaml file that users can apply to execute the tests as a Kubernetes job, streamlining deployment for cluster administrators.

The tool integrates into the broader Aqua Security ecosystem through Trivy, an all-in-one cloud-native security scanner. Both the Trivy CLI and the Trivy Operator, which can be deployed as a Kubernetes Operator inside clusters, support CIS Kubernetes Benchmark scanning alongside numerous other security features. This integration allows organizations to incorporate kube-bench's CIS compliance checks into comprehensive security scanning workflows.

The most frequently applied issue labels are enhancement with four instances, followed by help wanted and bug labels with two instances each.

The repository's contributor base shows overlap with major open-source projects including Microsoft's VSCode and TypeScript repositories as well as the Rust language project, suggesting that kube-bench attracts developers with experience in significant infrastructure and tooling projects. This cross-pollination of contributors indicates the tool's relevance within the broader cloud-native and security-focused development communities.

Kube-bench automatically determines which test set to run based on the Kubernetes version detected on the machine, though users should note that CIS Benchmark releases do not follow the same cadence as Kubernetes releases. The repository's roadmap focuses on releasing updates to support new CIS Benchmark versions as they become available. The project actively welcomes community contributions through pull requests and issue reports, with detailed contribution guidelines provided in the repository's CONTRIBUTING.md file.