🎯 What You'll Learn

  • Extract schemas via introspection
  • Bypass authorization on fields and nodes
  • Abuse query batching and nesting
  • Find injection behind resolvers

Overview

GraphQL’s flexibility becomes a liability when introspection is open and authorization is shallow. You map a schema and exploit it for data exposure and denial of service.

Core Topics

  • Introspection queries
  • Deep/nested query abuse
  • Batching attacks
  • Resolver-level injection

Prerequisites

A working KaliRange lab environment and comfort with the Linux command line.

Recommended Workflow

  1. Spin up the target in your KaliRange lab environment and confirm connectivity.
  2. Enumerate the target thoroughly before touching any exploit β€” information first.
  3. Reproduce each technique by hand so you understand why it works, not just the command.
  4. Capture evidence (commands, output, screenshots) as you go.
  5. Write a short note on how a defender would detect or prevent what you just did.
πŸ’‘
Only ever run these techniques against systems you own or have explicit written permission to test. Practise inside your own KaliRange lab.

Your Goal

Work through every task in your own lab, document your findings as you would on a real engagement, then note the defensive takeaways.

βœ…
Ready to practise. Work through the steps above at your own pace, then move on to a related lab.
← All LabsBrowse Workbooks β†’
// guided terminal

Try It Live

Type the commands from the steps above. The terminal simulates the expected output for this lab.

KaliRange ~ Terminal type help for commands