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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

329 lines
12 KiB
Python

"""
Authentication Security Tests
Tests that verify authentication mechanisms are secure, including
password storage, session management, and access control.
"""
import pytest
from tests.test_utils import add_src_to_path
add_src_to_path()
class TestPasswordSecurity:
"""Test password security and hashing."""
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_password_hashing_uses_secure_algorithm(self):
"""
Test that passwords are hashed using a secure algorithm.
LDR uses SQLCipher encryption for user databases.
"""
# LDR uses SQLCipher with user password as encryption key
# This means the password is used to encrypt the database
# Not stored as a hash, but used for encryption
# Verify that password is not stored in plaintext
# Verify that database encryption key derivation is secure
assert True # Documentation test - SQLCipher handles this
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_password_minimum_requirements(self):
"""Test that password requirements are enforced (if applicable)."""
# Password requirements to consider:
# - Minimum length (e.g., 8-12 characters)
# - Complexity (uppercase, lowercase, numbers, symbols)
# - No common passwords
# - No username in password
# For local self-hosted tool, strict requirements may be optional
# User is responsible for their own security
# This is a documentation test for password policy
pass
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_password_not_logged(self):
"""Test that passwords are never logged or exposed in errors."""
# Passwords should never appear in:
# - Log files
# - Error messages
# - Debug output
# - Stack traces
# This is a security best practice
assert True # Documentation test
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_timing_attack_resistance(self):
"""
Test that authentication timing is constant to prevent timing attacks.
Timing attacks:
- Attacker measures response time to guess valid usernames
- Fast response: "User doesn't exist"
- Slow response: "User exists, wrong password"
Protection:
- Constant-time password comparison
- Same processing time for valid/invalid users
"""
# Most password hashing libraries (bcrypt, argon2) are timing-safe
# SQLCipher should provide timing-safe comparison
assert True # Documentation test
class TestSessionSecurity:
"""Test session management security."""
@pytest.fixture
def client(self):
"""Create a test client."""
from local_deep_research.web.app import create_app
app, _ = create_app() # Unpack tuple (app, socket_service)
app.config["TESTING"] = True
app.config["SECRET_KEY"] = "test-secret-key"
app.config["WTF_CSRF_ENABLED"] = False
return app.test_client()
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_session_expiration(self, client):
"""Test that sessions expire appropriately."""
# Sessions should:
# - Expire after inactivity timeout
# - Have absolute maximum lifetime
# - Be invalidated on logout
# This prevents:
# - Session hijacking
# - Unauthorized access from old sessions
# - Session fixation attacks
pass # Placeholder - implementation depends on session manager
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_session_regeneration_on_login(self):
"""Test that session ID is regenerated after login."""
# Session fixation attack prevention:
# 1. Attacker sets victim's session ID
# 2. Victim logs in with that session ID
# 3. Attacker uses same session ID to access victim's account
# Protection: Regenerate session ID after authentication
# Flask does this automatically on session modification
assert True # Documentation test
def test_logout_invalidates_session(self, client):
"""Test that logout completely invalidates the session."""
# Logout should:
# 1. Clear session data
# 2. Invalidate session token
# 3. Clear session cookies
# 4. Redirect to login page
# Test logout endpoint
response = client.post("/auth/logout")
assert response.status_code == 302, response.status_code
# After logout, protected pages should require re-authentication
# This is tested in access control tests
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_concurrent_session_handling(self):
"""Test handling of concurrent sessions."""
# Concurrent session scenarios:
# - User logs in from multiple devices
# - User logs in from multiple browsers
# - Old session while new session active
# Options:
# 1. Allow multiple sessions (lower security, better UX)
# 2. Invalidate old session on new login (higher security)
# 3. Limit number of concurrent sessions
# For local tool, multiple sessions may be acceptable
assert True # Documentation test
class TestAccessControl:
"""Test access control and authorization."""
@pytest.fixture
def client(self):
"""Create a test client."""
from local_deep_research.web.app import create_app
app, _ = create_app() # Unpack tuple (app, socket_service)
app.config["TESTING"] = True
return app.test_client()
def test_unauthenticated_access_blocked(self, client):
"""Test that protected resources require authentication."""
# Protected pages that should redirect to login:
# - Research pages
# - Settings pages
# - User data pages
# Public pages that don't require auth:
# - Login page
# - Registration page (if enabled)
# - Health check endpoint
# Test accessing protected resource without auth
protected_endpoints = [
"/research",
"/settings",
"/api/v1/research",
]
for endpoint in protected_endpoints:
response = client.get(endpoint)
# Should be one of the auth-block codes:
# 302 Redirect to login, 401 Unauthorized, 403 Forbidden,
# 404 Not Found (route hidden behind decorator).
# MUST NOT be 200 — that would mean the endpoint is reachable
# without authentication.
assert response.status_code in {302, 401, 403, 404}, (
f"{endpoint} returned {response.status_code} without auth"
)
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_authentication_required_decorator(self):
"""Test that @login_required decorator is used on protected routes."""
# Flask routes should use authentication decorators:
# - @login_required for authenticated routes
# - Session validation on each request
# This is enforced through code review and testing
assert True # Documentation test
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_authorization_vs_authentication(self):
"""
Clarify difference between authentication and authorization.
Authentication: Verifying user identity (who you are)
- Login with username/password
- Session token validation
- User exists and credentials correct
Authorization: Verifying user permissions (what you can do)
- Can this user access this resource?
- Does user have required role/permissions?
- Resource ownership validation
For single-user LDR instance, authorization is simpler
(authenticated user has full access to their own data)
For multi-user deployments, authorization becomes critical.
"""
assert True # Documentation test
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_user_data_isolation(self):
"""Test that users can only access their own data."""
# In multi-user scenario:
# - User A should not access User B's research
# - Database queries should filter by user
# - User-specific encryption (SQLCipher per-user databases)
# LDR uses per-user encrypted databases
# This provides strong data isolation
assert True # Documentation test
class TestAuthenticationEdgeCases:
"""Test edge cases and attack scenarios."""
@pytest.fixture
def client(self):
"""Create a test client."""
from local_deep_research.web.app import create_app
app, _ = create_app() # Unpack tuple (app, socket_service)
app.config["TESTING"] = True
app.config["WTF_CSRF_ENABLED"] = False
return app.test_client()
def test_sql_injection_in_authentication(self, client):
"""Test that authentication is protected against SQL injection."""
# SQL injection in login form
sql_injection_usernames = [
"admin' OR '1'='1",
"admin'--",
"' OR '1'='1'--",
"admin' OR 1=1--",
]
for username in sql_injection_usernames:
response = client.post(
"/auth/login",
data={"username": username, "password": "anything"},
)
# Should not authenticate with SQL injection
assert response.status_code == 401, response.status_code
def test_empty_credentials_handling(self, client):
"""Test that empty username/password are rejected."""
# Empty username
response1 = client.post(
"/auth/login",
data={"username": "", "password": "password"},
)
assert response1.status_code in [400, 401]
# Empty password
response2 = client.post(
"/auth/login",
data={"username": "admin", "password": ""},
)
assert response2.status_code in [400, 401]
# Both empty
response3 = client.post(
"/auth/login",
data={"username": "", "password": ""},
)
assert response3.status_code in [400, 401]
@pytest.mark.skip(reason="documentation/placeholder test - not implemented")
def test_authentication_security_documentation():
"""
Documentation test for authentication security in LDR.
Authentication Architecture:
- SQLCipher encrypted per-user databases
- User password = database encryption key
- No centralized user authentication database
- Each user has their own encrypted database
Security Properties:
- Strong encryption (SQLCipher)
- Password not stored, used as encryption key
- Data at rest encryption
- User data isolation (separate databases)
Threat Model:
- Low risk for local single-user deployment
- Medium risk if deployed as multi-user service
- High risk if exposed to internet without additional protection
Additional Security Measures:
- HTTPS for production deployment
- Firewall/VPN for remote access
- Backup encryption
- Secure key derivation (SQLCipher built-in)
Not Applicable (due to architecture):
- Password hashing/salting (password IS the encryption key)
- Centralized user management
- OAuth/SSO integration
"""
assert True # Documentation test