JWT Authentication — Complete Deep Dive

JWT Authentication — Complete Deep Dive is a skill for Claude Code, Codex from ShulkwiSEC/bb-huge. It costs 26 tokens per session (1,146 once invoked), scanned A, original, MIT.

A detailed security-testing guide for weaknesses in JSON Web Tokens, signed tokens used for web authentication and permissions. It covers lab-style examples of altering, removing, or forging tokens and testing related bypasses.

In plain words
What is it for?
Practising or performing authorised JWT assessments of web applications, APIs, and authentication flows.
Why use it?
It gives testers a structured way to check whether an application verifies token signatures and claims correctly, rather than trusting user-controlled token data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is {"kid":"../../../dev/null","alg":"HS256"}.

Good fit Practising or performing authorised JWT assessments of web applications, APIs, and authentication flows.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ShulkwiSEC/bb-huge
agentmods
npx agentmods add skills/shulkwisec/bb-huge/jwt-labs

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for JWT Authentication — Complete Deep Dive

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/jwt-labs"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/jwt-labs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,146 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.01146
Opus 5 $0.00013 $0.00573
Sonnet 5 $0.00005 $0.00229
Haiku 4.5 $0.00003 $0.00115

Measured 7d ago against content hash f5ee60e4d956, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

JWT Authentication — Complete Deep Dive scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

tools: [burp-suite, curl, sqlmap, ffuf, python, hashcat, ysoserial]
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/curated/jwt-labs/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JWT Authentication — Complete Deep Dive

Deep-Dive Lab Playbook — Every PortSwigger lab variant with exact payloads, bypass techniques, and zero-day extensions. 🟢 Apprentice 🟡 Practitioner 🔴 Expert

When to Use

  • BSCP certification prep
  • Real-world bug bounty hunting
  • Building exploitation chains
  • Understanding bypass techniques

Prerequisites

  • Burp Suite Professional
  • Burp Collaborator / interactsh
  • Browser with proxy configured

Workflow

Phase 1: Reconnaissance

  • Identify input vectors, parameters, and application behavior.

Phase 2: Exploitation

  • Apply standard lab payloads.

Phase 3: Zero-Day Escalation

  • Fuzz filters, bypass WAFs, and chain with other vulns.

Lab Playbooks

Lab 1: Unverified signature 🟢 APPRENTICE

Decode JWT, change sub to administrator, re-encode (no signing needed — server doesn't verify).

Lab 2: Flawed signature verification 🟢 APPRENTICE

Remove the signature portion entirely. Server checks signature only if present.

Lab 3: Weak signing key 🟡 PRACTITIONER

hashcat -a 0 -m 16500 JWT_TOKEN /usr/share/wordlists/rockyou.txt

Crack HS256 secret → forge any token.

Lab 4: jwk header injection 🟡 PRACTITIONER

Generate RSA key, sign token with it, embed public key in jwk header parameter. Server uses embedded key to verify.

Lab 5: jku header injection 🟡 PRACTITIONER

Host JWK Set on exploit server, set jku header to your URL. Server fetches your keys.

Lab 6: kid header path traversal 🟡 PRACTITIONER

{"kid":"../../../dev/null","alg":"HS256"}

Sign with empty string (content of /dev/null). Server uses file content as verification key.

Lab 7: Algorithm confusion 🔴 EXPERT

Get server's RSA public key → change alg to HS256 → sign with public key as HMAC secret.

openssl s_client -connect TARGET:443 | openssl x509 -pubkey -noout > public.pem
# Use public.pem as HS256 key to sign forged JWT

Lab 8: Algorithm confusion no exposed key 🔴 EXPERT

Get two valid JWTs → derive RSA public key using rsa_sign2n tool → then do alg confusion attack.

Read the full file on GitHub · 134 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 134 lines · 26 tokens per session scan A f5ee60e4d956

Subscribe to this mod's changes

JWT Authentication — Complete Deep Dive is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,146 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.