# Metarget/metarget

Metarget is a framework providing automatic constructions of vulnerable infrastructures.

Repository: https://github.com/Metarget/metarget
Canonical: https://ross.abutalabs.com/products/metarget
Language: Python
License: Apache-2.0
License Family: permissive
Topics: cloud-native, kubernetes, container, cloud-native-security, kubernetes-security, container-security, container-escape, target, vulnerable-infrastructure, vulnerabilities, vulnerable-scenes, vulnerable-infrastructures, privilege-escalation, kernel-exploitation
Last push: 2026-07-22T06:44:06+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 8, longevity 100
- inputs: {"age_days": 1972, "days_push": 42, "days_rel": 671, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1415, forks 203 (observed 2026-08-28T04:04:39.745917+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: security, penetration-testing, vulnerability-scanning, deployment, container-runtime, container-orchestration, developer-tools
- domain: security, penetration-testing, cloud-computing, infrastructure-as-code, self-hosted
- platform: python, cli
- tags: vulnerable-infrastructure, cloud-native-security, container-escape, kubernetes-security, vulnerability-lab, red-team, security-research, exploit-testing, containers, devops, linux, docker, kubernetes

## Member repositories
- Metarget/metarget (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:39.745917+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:38:07.929485+00:00, confidence not recorded.
  - readme: https://github.com/Metarget/metarget (fetched 2026-08-28T04:04:39.745917+00:00, sha 9b4a44ea71ac)
- Data as of 2026-08-30T08:39:29.467469+00:00.