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Sample JWT: Decoded (JSON)

The decoded header and payload of the sample JWT as JSON, alongside the public signing secret and algorithm: the ground truth for checking a JWT decoder's output.

Preview, first 19 linesjson
{
  "header": {
    "alg": "HS256",
    "typ": "JWT"
  },
  "payload": {
    "sub": "sample-user-01",
    "name": "Example User",
    "role": "demo",
    "iss": "novus-examples",
    "iat": 1767225600,
    "exp": 1798761600,
    "note": "SAMPLE TOKEN \u2014 signed with a public example secret. Not for production."
  },
  "signatureAlgorithm": "HS256",
  "secret": "a-string-secret-at-least-256-bits-long",
  "note": "Sample only. This token is signed with a public secret so it can be verified; it grants nothing and must never be used in production."
}

Specifications

Format
JSON
Contents
decoded JWT header + payload + secret
Label
SAMPLE ONLY

Testing contract

Expected to pass
Scenario
Exercise Sample JWT: Decoded (JSON) in its security workflow. The decoded header and payload of the sample JWT as JSON, alongside the public signing secret and algorithm: the ground truth for checking a JWT decoder's output.
Expected result
top-level keys are header, payload, signatureAlgorithm, secret, note. Declared feature checks: contents=decoded JWT header + payload + secret; label=SAMPLE ONLY. The declared comparison counterpart is data-jwt; preserve the stated difference instead of expecting the container bytes to match.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Sample JWT: Decoded (JSON)” is a deterministic Testaroo fixture for JSON parsing, Editor testing. Flat, deeply nested, JSON Lines, and intentionally invalid JSON for testing parsers and error handling.

Documented properties for this file: JSON. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Feed the file to your parser and assert it handles the documented quirks, quoted delimiters, embedded newlines, ragged rows, or invalid syntax; the valid↔invalid distinction is labelled in the title.

Code examples

import json

with open("sample-jwt-decoded.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/q8_extras.py. Free for any use, no attribution required, license.