Sast JwtSAFE
Collection of agent skills to find vulnerabilities inside your web/mobile apps.
Overview
Collection of agent skills to find vulnerabilities inside your web/mobile apps.
d9c848ebb5f1OBSERVED · 2026-10-13What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: sast-jwt
description: >-
Detect insecure JWT (JSON Web Token) implementations in a codebase using a
two-phase approach: first map all JWT issuance and verification sites to
understand the token lifecycle and signing configuration, then check each
verification site for exploitable weaknesses such as algorithm confusion,
missing signature verification, weak secrets, header injection, and missing
claim validation. Requires sast/architecture.md (run sast-analysis first).
Outputs findings to sast/jwt-results.md. If no JWT usage is found in Phase 1,
Phase 2 is skipped. Use when asked to find JWT, token forgery, or
authentication bypass bugs.
---
# JWT Vulnerability Detection
You are performing a focused security assessment to find insecure JSON Web Token (JWT) implementations. This skill uses a two-phase approach with subagents: **recon** (map the full JWT lifecycle — issuance, verification, and configuration) then **analysis** (identify every exploitable weakness in those verification sites).
**Prerequisites**: `sast/architecture.md` must exist. Run the analysis skill first if it doesn't.
---
## What is an Insecure JWT Implementation
JWTs consist of three Base64URL-encoded parts: `header.payload.signature`. The header declares the signing algorithm (`alg`), the payload carries claims (e.g., `sub`, `role`, `exp`), and the signature is a cryptographic proof of integrity. Vulnerabilities arise when the server trusts the token's own claims about how it was signed, fails to verify the signature at all, uses a guessable secret, or trusts attacker-controlled key material embedded in the token itself.
The core pattern: *the server does not fully verify the JWT's authenticity and integrity before trusting its claims.*
### What JWT Vulnerabilities ARE
**1. Algorithm confusion — `alg: none`**
The server accepts a JWT whose header declares `"alg": "none"`, bypassing signature verification entirely. An attacker crafts an arbitrary payload, sets `alg` to `none`, and omits the signature. If the library processes it, the forged token is accepted.
**2. Algorithm confusion — RS256 → HS256**
A server configured for RS256 (asymmetric: sign with private key, verify with public key) can be tricked into HS256 mode if the library allows the algorithm to be specified by the token. Since the public key is often retrievable, the attacker signs a forged token with HS256 using the server's public key as the HMAC secret. The server verifies the HMAC using the same public key and accepts the token.
**3. Missing or disabled signature verification**
The server decodes the JWT payload without actually verifying the signature. Common patterns:
- Python (PyJWT): `jwt.decode(token, options={"verify_signature": False})`
- Node.js (jsonwebtoken): `jwt.decode(token)` instead of `jwt.verify(token, secret)`
- Manual base64 decode of the payload with no signature check
- `algorithms=["none"]` accepted in the decode call
**4. Weak or hardcoded HMAC secret**
The server signs tokens with a short, guessable, or hardcoded secret (e.g., `"secret"`, `"password"`, `"changeme"`, `"jwt-secret-key"`). An attacker who captures a valid token can brute-force the secret offline with tools like `hashcat` or `jwt_tool`, then forge arbitrary tokens.
**5. Embedded JWK (`jwk` header injection)**
The token header contains an embedded JSON Web Key (`jwk` parameter). If the verification code trusts the embedded key to verify the token's own signature, an attacker generates their own key pair, signs a forged token with their private key, and embeds their public key in the header. The server verifies the signature using the attacker's embedded public key and accepts the token.
**6. JKU / X5U header injection**
The `jku` (JWK Set URL) or `x5u` (X.509 certificate URL) header value is used to fetch the verification key from a URL. If the server does not validate the URL against an allowlist, the attacker can point it to their own server hosting a crafted key set.
**7. Key ID (`kid`) header injection**
The `kid` header is used to look up the signing key, often from a database or the filesystem. If the `kid` value is interpolated into a SQL query without sanitization, it becomes an SQL injection vector. If it is concatenated into a file path, it becomes a path traversal vector.
**8. Missing claim validation**
- `exp` not checked → expired tokens remain valid forever
- `iss` (issuer) not checked → tokens issued by other services are accepted
- `aud` (audience) not checked → tokens intended for other services are accepted
- `nbf` (not-before) not checked → tokens used before their valid window
**9. No token revocation**
There is no token blacklist or revocation mechanism. Stolen or logged-out tokens remain valid until they expire. This matters most when token lifetimes are long.
### What JWT Vulnerabilities are NOT
Do not flag these as JWT vulnerabilities:
- **IDOR**: Changing a `user_id` claim to access another user's data is an authorization flaw, not a JWT forgery — only flag if the token itself can be forged
- **XSS via JWT payload**: Injecting `<script>` into a claim that is later rendered unescaped — that's XSS, not a JWT bug
- **CSRF**: JWT in cookies without `SameSite` — that's a CSRF concern, not a JWT integrity issue
- **Properly restricted verification**: `jwt.verify(token, secret, { algorithms: ['HS256'] })` with a strong secret — not vulnerable
### Patterns That Prevent JWT Vulnerabilities
**1. Algorithm allowlist in verification call**
```python
# Python — PyJWT: explicitly specify allowed algorithms
payload = jwt.decode(token, secret, algorithms=["HS256"])
# Node.js — jsonwebtoken: restrict algorithms
jwt.verify(token, secret, { algorithms: ['HS256'] })
# Java — jjwt: specify expected algorithm
Jwts.parserBuilder().setSigningKey(key).build().parseClaimsJws(token)
# (jjwt does not use the header's alg; it uses the key type)
```
**2. Strong, randomly generated secret**
```python
# Strong secret: at leTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
d9c848ebb5f1full audit observations/trust-audit/skill/utkusen__sast-jwt.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-13 | d9c848ebb5f1 | SAFE | B | 89 | first audit |
Questions
What does the Sast Jwt skill do?
Collection of agent skills to find vulnerabilities inside your web/mobile apps.
Is Sast Jwt safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Sast Jwt access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d9c848ebb5f1), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.