offensive-jwt
offensive-jwt is a penetration testing guide for exploiting JSON Web Token vulnerabilities, including algorithm confusion attacks, weak secret brute-forcing, parameter injection via kid/jku/x5u headers, and JWKS poisoning. Use when assessing JWT-based authentication mechanisms in web or mobile applications, hunting for token manipulation bypass techniques, or evaluating the security posture of token generation and validation implementations.
git clone --depth 1 https://github.com/SnailSploit/Claude-Red /tmp/offensive-jwt && cp -r /tmp/offensive-jwt/Skills/auth/offensive-jwt ~/.claude/skills/offensive-jwtSKILL.md
## Overview
Comprehensive JWT attack checklist for offensive security engagements. Follow steps in order; apply each technique to the current target context and track which items have been completed.
## Quick Reference: Misconfigurations to Check
- Algorithm set to `none` — signature verification bypassed entirely
- Algorithm switching between `RSA` and `HMAC` (confusion attack)
- Weak or guessable HMAC secret (brute-forceable)
- `kid`, `jku`, `jwk`, `x5u` header parameters accepted without validation
- Expired or tampered tokens accepted by server
- Sensitive data stored unencrypted in payload
Useful tool: [JWT Tool](https://github.com/ticarpi/jwt_tool)
## Mechanisms
JWTs (RFC 7519) consist of three Base64URL-encoded parts: `header.payload.signature`.
**Signing algorithms:**
| Algorithm | Type | Notes |
|-----------|------|-------|
| HS256/384/512 | Symmetric HMAC | Shared secret; confusion target |
| RS256/384/512 | Asymmetric RSA | Public key can be misused as HMAC secret |
| ES256/384/512 | Asymmetric ECDSA | |
| PS256/384/512 | RSASSA-PSS | |
| EdDSA (Ed25519/Ed448) | Asymmetric | |
| none | Unsigned | Critically insecure |
**Additional pitfalls:**
- JWS/JWE confusion: server accepts encrypted token (JWE) where signed (JWS) is expected, or fails open on unexpected `typ`/`cty`
- JWKS retrieval: SSRF via `jku`/`x5u`, insecure TLS, poisoned key caching, `kid` collisions
- Token binding (DPoP, mTLS): incorrectly implemented allows replay from other clients
## Hunt: Identifying JWT Usage
1. Check `Authorization: Bearer <token>` headers in all requests
2. Look for cookies containing JWT structures (`eyJ...`)
3. Examine browser local/session storage
4. Decode the token at jwt.io or via BurpSuite JWT extension — inspect claims and header parameters
5. Note any `kid`, `jku`, `jwk`, `x5u` fields in the header — these are attack surfaces
## Vulnerability Map
```
JWT Vulnerabilities
├── Algorithm Bypass
│ ├── alg:none attack
│ └── RS256→HS256 confusion (public key as HMAC secret)
├── Weak Secret Key → Brute force
├── kid Parameter Injection
│ ├── SQL injection via kid
│ └── Path traversal via kid
├── Header Injection
│ ├── jwk (inline fake key)
│ ├── jku/x5u (remote attacker-controlled JWKS)
│ └── JWKS cache poisoning
└── Missing / Broken Validation
├── No signature check
├── Expired tokens accepted
└── iss/aud/exp not validated
```
## Vulnerabilities
### Algorithm Vulnerabilities
- **alg:none** — Some libraries disable signature validation when `alg` is `none` or a case variant (`None`, `NONE`, `nOnE`)
- **Algorithm Confusion (RS256→HS256)** — Server uses RSA public key as HMAC secret when attacker switches `alg` to HS256; attacker re-signs token with the public key
- **Key ID (`kid`) Manipulation** — Exploiting `kid` to load wrong keys or inject file paths / SQL; enforce strict lookups
### Signature Vulnerabilities
- **Weak HMAC Secrets** — Brute-forceable with dictionary or hashcat
- **Missing Signature Validation** — Token accepted without any verification
- **Broken Validation** — Implementation errors in signature checking logic
### Implementation Issues
- **Missing Claims Validation** — `exp`, `nbf`, `aud`, `iss` not verified
- **Insufficient Entropy** — Predictable JWT IDs or tokens
- **No Expiration** — Tokens valid indefinitely
- **Insecure Transport** — Token sent over HTTP
- **Debug Leakage** — Detailed error messages expose implementation
### Header Injection Attacks
- **JWK Injection** — Supply a custom attacker-controlled public key via the `jwk` header
- **JKU Manipulation** — Point `jku` (JWK Set URL) to attacker-controlled JWKS endpoint
- **x5u Misuse** — Load untrusted X.509 key URL; exploit lax TLS validation or open redirects
- **JWKS Cache Poisoning** — Force caches to accept attacker keys via `kid` collisions or response header manipulation
- **`crit` Header Abuse** — Server ignores unknown critical parameters, enabling bypass
### Information Disclosure
- Sensitive data (PII, credentials, session details) stored unencrypted in payload
- Internal service/backend information leaked via claims
## Additional Attack Vectors
### Mobile App JWT Storage
**Android:**
- `SharedPreferences`: Check if world-readable; location `/data/data/<package>/shared_prefs/`
- Keystore extraction: root device or exploit app
- Backup extraction: `adb backup -f backup.ab <package>` (if `allowBackup=true`)
- Tools: Frida, objection, MobSF
**iOS:**
- Keychain: Check `kSecAttrAccessible` — `kSecAttrAccessibleAlways` is insecure
- iTunes/iCloud backup extraction: unencrypted backups expose Keychain
- Jailbreak + Keychain-Dumper for full extraction
- Tools: Frida, objection, idb
**React Native / Hybrid:**
- `AsyncStorage` stored in plain text (Android SQLite DB, iOS plist); no encryption by default
```bash
# Android — check SharedPreferences
adb shell "run-as com.target.app cat /data/data/com.target.app/shared_prefs/auth.xml"
# iOS — extract from backup
idevicebackup2 backup --full /path/to/backup
# Use plist/sqlite tools to extract JWT
```
### JWT Confusion Attacks
- **SAML-JWT Confusion** — App accepts both SAML and JWT; send JWT where SAML expected or vice versa to exploit weaker validation path
- **API Key-JWT Confusion** — Test sending JWT where API key expected and vice versa
- **Session Cookie-JWT Hybrid** — Test expired JWT with valid session cookie; inject JWT claims into session
- **OAuth Token Confusion** — Send ID token (JWT) to resource server expecting opaque access token
```bash
# Try API key where JWT expected
curl -H "Authorization: Bearer <api_key>" https://api.target/resource
# Try JWT where API key expected
curl -H "X-API-Key: <jwt_token>" https://api.target/resource
```
### Timing Attacks on HMAC
Non-constant-time comparison leaks the HMAC secret character by character via response time differences.
```python
import requests, time
def time_request(signature):
start = time.perf_counter()
r = requests.get('httpsActive Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.
Cloud security attack methodology covering AWS, Azure, and GCP. Includes credential harvesting (IMDS, ~/.aws, env vars, leaked CI secrets, instance roles), enumeration with cloud-specific tools (pacu, ScoutSuite, Prowler, ROADtools, gcp_enum), privilege escalation paths (IAM PassRole, AssumeRole chains, Lambda/Functions privilege flips, Azure Owner-on-self, GCP serviceAccountTokenCreator), persistence techniques (IAM user/key creation, AAD app registration, GCP svc account key creation, EventBridge/Logic Apps backdoors), data exfiltration (S3/Blob/GCS, snapshot share, RDS/CosmosDB/Cloud SQL exfil), cloud-native lateral movement (cross-account assume, Azure AD multi-tenant, GCP project hierarchy), serverless attacks (Lambda env vars, layer hijack, Step Functions), Kubernetes-on-cloud (EKS/AKS/GKE-specific paths to node and AWS metadata), and CSPM evasion (CloudTrail blind spots, GuardDuty mute, Sentinel rule shaping). Use when the engagement scope is cloud accounts, when you've stolen cloud credentials, or when assessing cloud posture.