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competition-cloud-metadata-path

Trace how access to cloud metadata leads to issued credentials and accepted privileges in a CTF sandbox. Organize endpoints, identity details, and API evidence into a minimal, reproducible path showing where trust is granted.

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Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for cloud metadata services, instance identity, workload identity, link-local credential paths, role assumption, and metadata-to-privilege trust edges. Use when the user asks to inspect metadata-service access, instance credentials, pod or workload identity, link-local token paths, SSRF-to-metadata escalation, or explain how metadata-derived credentials turn into accepted cloud or control-plane privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

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适用场景

  • Investigating access to cloud metadata services
  • Tracing instance or workload credentials
  • Verifying privileges accepted through metadata credentials
  • Documenting a reproducible metadata-to-privilege path

包含的文件(3)

  • SKILL.md3.3 KB
  • agents/openai.yaml391 B
  • references/cloud-metadata-path.md1.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Competition Cloud Metadata Path

Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.

Use this skill when the decisive edge is not just reaching metadata, but proving how metadata-derived identity becomes accepted privilege.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Identify which metadata surface is active: instance metadata, workload identity, node identity, task role, or platform-specific token endpoint.
  2. Record the exact reachability path: local process, pod, container, proxy, SSRF surface, or host route.
  3. Separate metadata reachability from credential issuance and from downstream privilege acceptance.
  4. Keep token format, role identity, scope, and accepting API in compact evidence blocks.
  5. Reproduce the smallest metadata-to-accepted-privilege path that proves the challenge edge.

Workflow

1. Map Metadata Reachability

  • Record the metadata endpoint, required headers, hop limits, session tokens, workload selectors, or path prefixes.
  • Note whether access comes from direct local calls, pod networking, SSRF, sidecar, or host-level routing.
  • Keep the reaching surface and the metadata endpoint in one chain.

2. Prove Credential Or Identity Issuance

  • Show how the metadata response becomes a token, temporary credential, signed identity doc, or platform-specific workload identity.
  • Record expiration, role name, subject, audience, issuer, or cloud account mapping that matters downstream.
  • Distinguish raw metadata from usable credential material.

3. Reduce To The Decisive Trust Path

  • Compress the result to the smallest sequence: reaching surface -> metadata call -> credential issued -> accepted cloud or cluster action.
  • State clearly whether the weakness lives in reachability, metadata config, role trust, downstream policy, or workload binding.
  • If the challenge narrows to RBAC or cluster mutation after credential issuance, switch back to the tighter control-plane skill.

Read This Reference

  • Load references/cloud-metadata-path.md for the reachability checklist, token checklist, and evidence packaging.
  • If the hard part is first proving a server-side fetch primitive, SSRF reachability, or internal endpoint traversal before metadata itself, prefer $competition-ssrf-metadata-pivot.

What To Preserve

  • Metadata endpoints, required headers, reachability path, issued tokens or creds, and accepted APIs
  • Role names, audiences, issuers, account bindings, and privilege-bearing actions
  • The smallest replayable metadata-to-privilege chain

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