Digest Authentication in aiohttp (Server & Client) Side
Digest Authentication is a secure method for protecting web resources in HTTP applications.
In this tutorial, you will learn how to implement Digest Authentication both on the server side and client side using aiohttp
in Python.
You’ll learn how to manage authentication states, implement advanced features, and address security considerations.
Implement Digest Authentication Server-side
To handle Digest Authentication, you need to create a class that manages the authentication process.
import hashlib import os import time from aiohttp import web class DigestAuth: def __init__(self, realm, users): self.realm = realm self.users = users # Dictionary of username:password def generate_nonce(self): return hashlib.md5(os.urandom(16)).hexdigest() def generate_opaque(self): return hashlib.md5(os.urandom(16)).hexdigest()
The DigestAuth
class initializes with a realm and a dictionary of users. It includes methods to generate nonce and opaque values using MD5 hashing.
Generate nonce and opaque values
Nonce and opaque values are crucial for Digest Authentication. They ensure each request is unique and prevent replay attacks.
auth = DigestAuth("localhost", {"user": "password"}) nonce = auth.generate_nonce() opaque = auth.generate_opaque() print(f"Nonce: {nonce}, Opaque: {opaque}")
Output:
Nonce: 6d8b7aa01ce31e1a9c3c7f5527e0a07e, Opaque: df4106bd361fd9fe3c517a55989585cd
Nonce and opaque values are generated using random data to ensure they are unique for each session.
Handle authentication challenges
To challenge a client, you need to send a 401 response with suitable headers.
async def handle_request(request): auth_header = request.headers.get('Authorization', '') if not auth_header: return web.Response(status=401, headers={ 'WWW-Authenticate': f'Digest realm="{auth.realm}", nonce="{nonce}", opaque="{opaque}"' }) return web.Response(text="Authenticated") app = web.Application() app.router.add_get('/', handle_request) web.run_app(app)
The server responds with a 401 status and a WWW-Authenticate
header if the Authorization
header is missing and prompts the client to authenticate.
Validate client responses
Once the client responds, validate the response to ensure it matches the expected hash.
def validate_response(auth_header, method, uri): # Simplified validation logic return True async def handle_request(request): auth_header = request.headers.get('Authorization', '') if not auth_header or not validate_response(auth_header, request.method, request.path): return web.Response(status=401, headers={ 'WWW-Authenticate': f'Digest realm="{auth.realm}", nonce="{nonce}", opaque="{opaque}"' }) return web.Response(text="Authenticated")
The server checks the Authorization
header and validates it. If invalid, it sends a 401 response again.
Client side Digest Authentication
To perform Digest Authentication on the client side, use aiohttp.ClientSession
.
import asyncio from aiohttp import ClientSession async def fetch(url): async with ClientSession() as session: async with session.get(url) as response: return await response.text() async def main(): url = 'http://localhost:8080/' content = await fetch(url) print(content) if __name__ == "__main__": asyncio.run(main())
The client sends a request to the server. If a 401 response is received, it will need to handle the challenge.
Handle authentication challenges
When the server challenges the client, extract the nonce and other details to respond correctly.
import asyncio from aiohttp import ClientSession async def fetch_with_auth(url, username, password): async with ClientSession() as session: async with session.get(url) as response: if response.status == 401: # Extract nonce and other details from response headers # Respond with correct Authorization header pass return await response.text() async def main(): url = "http://localhost:8080" # Replace with your URL result = await fetch_with_auth(url, "user", "password") print(result) asyncio.run(main())
The client checks for a 401 status and prepares to respond with the correct Authorization
header.
Generate client responses
Generate the appropriate response hash using the nonce and other details.
import asyncio from aiohttp import ClientSession def generate_response_hash(username, password, realm, nonce, uri, method): # Simplified hash generation logic return "response_hash" async def fetch_with_auth(url, username, password): async with ClientSession() as session: async with session.get(url) as response: if response.status == 401: # Extract realm and nonce from the WWW-Authenticate header www_authenticate = response.headers.get('WWW-Authenticate', '') # This is a simplified extraction; in practice, you should parse the header properly realm = "example_realm" # Extracted from www_authenticate nonce = "example_nonce" # Extracted from www_authenticate # Generate response hash auth_header = f'Digest username="{username}", response="{generate_response_hash(username, password, realm, nonce, url, "GET")}"' async with session.get(url, headers={'Authorization': auth_header}) as auth_response: return await auth_response.text() async def main(): url = "http://localhost:8080" response_text = await fetch_with_auth(url, "user", "password") print(response_text) asyncio.run(main())
The client generates a response hash and sends it in the Authorization
header to authenticate successfully.
Caching Authentication Information
Caching authentication information can improve performance by reducing repeated calculations.
class AuthCache: def __init__(self): self.cache = {} def set(self, key, value, expiry=300): self.cache[key] = (value, time.time() + expiry) def get(self, key): if key in self.cache: value, expiry = self.cache[key] if time.time() < expiry: return value return None auth_cache = AuthCache()
This AuthCache class allows you to store and retrieve authentication information with expiration times.
Nonce Counting (nc)
You can implement nonce counting to track request numbers:
class NonceCounter: def __init__(self): self.counters = {} def increment(self, nonce): if nonce not in self.counters: self.counters[nonce] = 1 else: self.counters[nonce] += 1 return self.counters[nonce] nonce_counter = NonceCounter() print(f"Nonce count: {nonce_counter.increment('nonce1')}") print(f"Nonce count: {nonce_counter.increment('nonce1')}")
Output:
Nonce count: 1 Nonce count: 2
The NonceCounter class keeps track of how many times each nonce has been used.
Quality of Protection (qop) options
Implement Quality of Protection options:
def generate_response_with_qop(username, password, realm, nonce, nc, cnonce, qop, method, uri): ha1 = hashlib.md5(f"{username}:{realm}:{password}".encode()).hexdigest() ha2 = hashlib.md5(f"{method}:{uri}".encode()).hexdigest() if qop == 'auth': return hashlib.md5(f"{ha1}:{nonce}:{nc}:{cnonce}:{qop}:{ha2}".encode()).hexdigest() else: return hashlib.md5(f"{ha1}:{nonce}:{ha2}".encode()).hexdigest() response = generate_response_with_qop("user1", "password123", "MyWebsite", "nonce1", "00000001", "cnonce1", "auth", "GET", "/") print(f"Response with qop: {response}")
Output:
Response with qop: d0d6ecaeff13842c6f528f387a3b4961
This function generates a response that includes the Quality of Protection option.
Store and Compare Password Hashes
You must store and compare password hashes instead of plain text passwords:
import bcrypt def hash_password(password): return bcrypt.hashpw(password.encode(), bcrypt.gensalt()) def verify_password(stored_hash, provided_password): return bcrypt.checkpw(provided_password.encode(), stored_hash) stored_hash = hash_password("password123") print(f"Password hash: {stored_hash}") print(f"Password verification: {verify_password(stored_hash, 'password123')}")
Output:
Password hash: b'$2b$12$O8h.jTMUJtCFTpmuUVMXMeA5hlfV/kVaRdHbl/qoQV/qX5I487fcy' Password verification: True
These functions use bcrypt to hash and verify passwords.
Mokhtar is the founder of LikeGeeks.com. He is a seasoned technologist and accomplished author, with expertise in Linux system administration and Python development. Since 2010, Mokhtar has built an impressive career, transitioning from system administration to Python development in 2015. His work spans large corporations to freelance clients around the globe. Alongside his technical work, Mokhtar has authored some insightful books in his field. Known for his innovative solutions, meticulous attention to detail, and high-quality work, Mokhtar continually seeks new challenges within the dynamic field of technology.