Metarget/metarget

Health v2 · maintenance only

Adoption not part of the score

1415 stars · 203 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Metarget is a Python-based framework that automatically builds vulnerable cloud-native infrastructures, installing vulnerable versions of Docker, Kubernetes, Kata Containers, and Linux kernels with a single command. It enables security researchers to quickly deploy simple or multilayer vulnerable scenes for testing exploits and learning cloud-native security.

Use cases

• deploy a docker container escape lab with cve-2019-5736
• set up a vulnerable kubernetes cluster to test cve-2018-1002105
• build a multilayer vulnerable cloud native environment for security training
• test container escape PoCs against vulnerable kernel versions like DirtyCoW
• install vulnerable application targets like DVWA on top of compromised infrastructure
• practice kubernetes privilege escalation in a safe lab

When to choose

• you need to quickly reproduce cloud-native CVEs for security research
• you want a reproducible vulnerable lab for penetration testing practice
• you need multilayer vulnerable scenes combining kernel, container, and orchestration flaws

When to avoid

• you need a production-hardened deployment tool
• you want vulnerability scanning of existing infrastructure rather than building vulnerable targets
• you are not working on Linux-based hosts

Facets

framework · maturity active

security penetration-testing vulnerability-scanning deployment container-runtime container-orchestration developer-tools security penetration-testing cloud-computing infrastructure-as-code self-hosted python cli vulnerable-infrastructure cloud-native-security container-escape kubernetes-security vulnerability-lab red-team security-research exploit-testing containers devops linux docker kubernetes

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markdown · JSON · MCP: product_card(name="Metarget/metarget")