According to ChatGPT, this would be a valid implementation for a OTP based approach (eg: Google Authenticator).
import pyotp
def generate_secret():
# This will generate a fresh secret key
secret = pyotp.random_base32()
print(f"Secret key for user: {secret}")
return secret
def generate_otp(secret):
# Generate a TOTP object
totp = pyotp.TOTP(secret)
return totp.now() # Generate a OTP based on the current time
def verify_otp(secret, user_input):
# Verifies user input against the current OTP
totp = pyotp.TOTP(secret)
return totp.verify(user_input)
# Usage
user_secret = generate_secret()
otp = generate_otp(user_secret)
print(f"Generated OTP: {otp}")
# Simulate user entering OTP
user_otp_input = input("Enter the OTP: ")
if verify_otp(user_secret, user_otp_input):
print("OTP is correct!")
else:
print("Invalid OTP.")
FIDO2 Example
Server side
from fido2.webauthn import PublicKeyCredentialRpEntity, PublicKeyCredentialUserEntity
from fido2.server import Fido2Server
from fido2.client import ClientData
from fido2.ctap2 import AttestationObject, AuthenticatorData
from fido2 import cbor
# Setup the relying party information
rp = PublicKeyCredentialRpEntity(name="Example Corp", id="localhost")
# User information (this should be dynamic in production use)
user = PublicKeyCredentialUserEntity(id=b"user_id", name="user@example.com", display_name="User")
# Initialize the server with the relying party details
server = Fido2Server(rp)
# Registration
def register_begin():
registration_data, state = server.register_begin({
"id": user.id,
"name": user.name,
"displayName": user.display_name,
})
return cbor.encode(registration_data), state
def register_complete(client_data, attestation_object, state):
client_data = ClientData(client_data)
attestation_obj = AttestationObject(attestation_object)
auth_data = server.register_complete(state, client_data, attestation_obj)
return auth_data.credential_data
# Authentication
def authenticate_begin():
auth_data, state = server.authenticate_begin(user)
return cbor.encode(auth_data), state
def authenticate_complete(client_data, authenticator_data, state):
client_data = ClientData(client_data)
auth_data = AuthenticatorData(authenticator_data)
server.authenticate_complete(state, user, client_data, auth_data)
return "Authentication successful!"
Client Side
# Simulate client operations for registration
client_data_json, state = register_begin()
# Normally client_data_json would be used by the client with the user's security key.
# For this example, assume we get the following from the client/security key.
client_data = b"{}" # Example client data, should be obtained from the security key
attestation_object = b"{}" # Example attestation object, should be obtained from the security key
# Complete registration
credential_data = register_complete(client_data, attestation_object, state)
print("Registration complete. Credential data:", credential_data)
# Simulate client operations for authentication
auth_data, state = authenticate_begin()
# Again, assume we get the necessary data from the client/security key.
client_data = b"{}"
authenticator_data = b"{}"
# Complete authentication
result = authenticate_complete(client_data, authenticator_data, state)
print(result)
Description
Sometimes, it's relevant to increase the security of the authentication process by using 2FA, for instance, with a one-time password.
The additional layer of security can prevent attacks from malicious agents using a brute force password-targeted attack,
Implementation
Some libraries for Python can handle the hardcore work (e.g., pyotp).
Inspiration
Code
OTP Example
According to ChatGPT, this would be a valid implementation for a OTP based approach (eg: Google Authenticator).
FIDO2 Example
Server side
Client Side