feat(security): merge Phase 4b security hardening
Complete security hardening implementation including HTTPS enforcement, security headers, rate limiting, and comprehensive security test suite. Key features: - HTTPS enforcement with HSTS support - Security headers (CSP, X-Frame-Options, X-Content-Type-Options) - Rate limiting for all critical endpoints - Enhanced email template security - 87% test coverage with security-specific tests Architect approval: 9.5/10 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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docs/designs/phase-4b-clarifications.md
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docs/designs/phase-4b-clarifications.md
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# Phase 4b Security Hardening - Implementation Clarifications
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Date: 2025-11-20
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## Overview
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This document provides clarifications for implementation questions raised during the Phase 4b Security Hardening design review. Each clarification includes the rationale and specific implementation guidance.
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## Clarifications
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### 1. Content Security Policy (CSP) img-src Directive
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**Question**: Should `img-src 'self' https:` allow loading images from any HTTPS source, or should it be more restrictive?
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**Answer**: Use `img-src 'self' https:` to allow any HTTPS source.
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**Rationale**:
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- IndieAuth clients may display various client logos and user profile images from external HTTPS sources
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- Client applications registered via self-service could have logos hosted anywhere
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- User profile images from IndieWeb sites could be hosted on various services
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- Requiring explicit whitelisting would break the self-service registration model
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**Implementation**:
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```python
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CSP_DIRECTIVES = {
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"default-src": "'self'",
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"script-src": "'self'",
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"style-src": "'self' 'unsafe-inline'", # unsafe-inline for minimal CSS
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"img-src": "'self' https:", # Allow any HTTPS image source
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"font-src": "'self'",
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"connect-src": "'self'",
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"frame-ancestors": "'none'"
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}
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```
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### 2. HTTPS Enforcement with Reverse Proxy Support
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**Question**: Should the HTTPS enforcement middleware check the `X-Forwarded-Proto` header for reverse proxy deployments?
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**Answer**: Yes, check `X-Forwarded-Proto` header when configured for reverse proxy deployments.
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**Rationale**:
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- Many production deployments run behind reverse proxies (nginx, Apache, Cloudflare)
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- The application sees HTTP from the proxy even when the client connection is HTTPS
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- This is a standard pattern for Python web applications
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**Implementation**:
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```python
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def is_https_request(request: Request) -> bool:
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"""Check if request is HTTPS, considering reverse proxy headers."""
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# Direct HTTPS
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if request.url.scheme == "https":
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return True
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# Behind proxy - check forwarded header
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# Only trust this header in production with TRUST_PROXY=true
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if config.TRUST_PROXY:
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forwarded_proto = request.headers.get("X-Forwarded-Proto", "").lower()
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return forwarded_proto == "https"
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return False
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```
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**Configuration Addition**:
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Add to config.py:
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```python
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# Security settings
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HTTPS_REDIRECT: bool = True # Redirect HTTP to HTTPS in production
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TRUST_PROXY: bool = False # Trust X-Forwarded-* headers from reverse proxy
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```
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### 3. Token Prefix Format for Logging
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**Question**: Should partial token logging consistently use exactly 8 characters with ellipsis suffix?
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**Answer**: Yes, use exactly 8 characters plus ellipsis for all token logging.
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**Rationale**:
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- Consistency aids in log parsing and monitoring
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- 8 characters provides enough uniqueness for debugging (16^8 = 4.3 billion combinations)
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- Ellipsis clearly indicates truncation to log readers
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- Matches common security logging practices
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**Implementation**:
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```python
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def mask_sensitive_value(value: str, prefix_len: int = 8) -> str:
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"""Mask sensitive values for logging, showing only prefix."""
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if not value or len(value) <= prefix_len:
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return "***"
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return f"{value[:prefix_len]}..."
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# Usage in logging
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logger.info(f"Token validated", extra={
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"token_prefix": mask_sensitive_value(token, 8),
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"client_id": client_id
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})
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```
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### 4. Timing Attack Test Reliability
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**Question**: How should we handle potential flakiness in statistical timing attack tests, especially in CI environments?
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**Answer**: Use a combination of increased sample size, relaxed thresholds for CI, and optional skip markers.
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**Rationale**:
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- CI environments have variable performance characteristics
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- Statistical tests inherently have some variance
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- We need to balance test reliability with meaningful security validation
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- Some timing variation is acceptable as long as there's no clear correlation
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**Implementation**:
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```python
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@pytest.mark.security
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@pytest.mark.slow # Mark as slow test
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@pytest.mark.skipif(
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os.getenv("CI") == "true" and os.getenv("SKIP_TIMING_TESTS") == "true",
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reason="Timing tests disabled in CI"
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)
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def test_authorization_code_timing_attack_resistance():
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"""Test that authorization code validation has consistent timing."""
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# Increase samples in CI for better statistics
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samples = 200 if os.getenv("CI") == "true" else 100
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# Use relaxed threshold in CI (30% vs 20% coefficient of variation)
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max_cv = 0.30 if os.getenv("CI") == "true" else 0.20
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# ... rest of test implementation
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# Check coefficient of variation (stddev/mean)
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cv = np.std(timings) / np.mean(timings)
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assert cv < max_cv, f"Timing variation too high: {cv:.2%} (max: {max_cv:.2%})"
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```
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**CI Configuration**:
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Document in testing standards that `SKIP_TIMING_TESTS=true` can be set in CI if timing tests prove unreliable in a particular environment.
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### 5. SQL Injection Test Implementation
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**Question**: Should SQL injection tests actually read and inspect source files for patterns? Are there concerns about false positives?
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**Answer**: No, do not inspect source files. Use actual injection attempts and verify behavior.
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**Rationale**:
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- Source code inspection is fragile and prone to false positives
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- Testing actual behavior is more reliable than pattern matching
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- SQLAlchemy's parameterized queries should handle this at runtime
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- Behavioral testing confirms the security measure works end-to-end
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**Implementation**:
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```python
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@pytest.mark.security
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def test_sql_injection_prevention():
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"""Test that SQL injection attempts are properly prevented."""
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# Test actual injection attempts, not source code patterns
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injection_attempts = [
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"'; DROP TABLE users; --",
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"' OR '1'='1",
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"admin'--",
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"' UNION SELECT * FROM tokens--",
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"'; INSERT INTO clients VALUES ('evil', 'client'); --"
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]
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for attempt in injection_attempts:
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# Attempt injection via client_id parameter
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response = client.get(
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"/authorize",
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params={"client_id": attempt, "response_type": "code"}
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)
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# Should get client not found, not SQL error
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assert response.status_code == 400
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assert "invalid_client" in response.json()["error"]
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# Verify no SQL error in logs (would indicate query wasn't escaped)
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# This would be checked via log capture in test fixtures
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```
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### 6. HTTPS Redirect Configuration
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**Question**: Should `HTTPS_REDIRECT` configuration option be added to the Config class in Phase 4b?
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**Answer**: Yes, add both `HTTPS_REDIRECT` and `TRUST_PROXY` to the Config class.
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**Rationale**:
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- Security features need runtime configuration
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- Different deployment environments have different requirements
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- Development needs HTTP for local testing
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- Production typically needs HTTPS enforcement
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**Implementation**:
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Add to `src/config.py`:
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```python
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class Config:
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"""Application configuration."""
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# Existing configuration...
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# Security configuration
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HTTPS_REDIRECT: bool = Field(
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default=True,
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description="Redirect HTTP requests to HTTPS in production"
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)
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TRUST_PROXY: bool = Field(
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default=False,
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description="Trust X-Forwarded-* headers from reverse proxy"
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)
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SECURE_COOKIES: bool = Field(
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default=True,
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description="Set secure flag on cookies (requires HTTPS)"
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)
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@validator("HTTPS_REDIRECT")
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def validate_https_redirect(cls, v, values):
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"""Disable HTTPS redirect in development."""
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if values.get("ENV") == "development":
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return False
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return v
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```
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### 7. Pytest Security Marker Registration
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**Question**: Should `@pytest.mark.security` be registered in pytest configuration?
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**Answer**: Yes, register the marker in `pytest.ini` or `pyproject.toml`.
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**Rationale**:
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- Prevents pytest warnings about unregistered markers
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- Enables running security tests separately: `pytest -m security`
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- Documents available test categories
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- Follows pytest best practices
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**Implementation**:
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Create or update `pytest.ini`:
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```ini
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[tool:pytest]
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markers =
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security: Security-related tests (timing attacks, injection, headers)
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slow: Tests that take longer to run (timing attack statistics)
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integration: Integration tests requiring full application context
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```
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Or in `pyproject.toml`:
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```toml
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[tool.pytest.ini_options]
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markers = [
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"security: Security-related tests (timing attacks, injection, headers)",
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"slow: Tests that take longer to run (timing attack statistics)",
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"integration: Integration tests requiring full application context",
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]
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```
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**Usage**:
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```bash
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# Run only security tests
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pytest -m security
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# Run all except slow tests
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pytest -m "not slow"
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# Run security tests but not slow ones
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pytest -m "security and not slow"
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```
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### 8. Secure Logging Guidelines Documentation
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**Question**: How should secure logging guidelines be structured in the coding standards?
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**Answer**: Add a dedicated "Security Practices" section to `/docs/standards/coding.md` with specific logging subsection.
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**Rationale**:
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- Security practices deserve prominent placement in coding standards
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- Developers need clear, findable guidelines
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- Examples make guidelines actionable
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- Should cover both what to log and what not to log
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**Implementation**:
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Add to `/docs/standards/coding.md`:
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```markdown
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## Security Practices
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### Secure Logging Guidelines
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#### Never Log Sensitive Data
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The following must NEVER appear in logs:
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- Full tokens (authorization codes, access tokens, refresh tokens)
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- Passwords or secrets
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- Full authorization codes
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- Private keys or certificates
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- Personally identifiable information (PII) beyond user identifiers
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#### Safe Logging Practices
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When logging security-relevant events, follow these practices:
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1. **Token Prefixes**: When token identification is necessary, log only the first 8 characters:
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```python
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logger.info("Token validated", extra={
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"token_prefix": token[:8] + "..." if len(token) > 8 else "***",
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"client_id": client_id
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})
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```
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2. **Request Context**: Log security events with context:
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```python
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logger.warning("Authorization failed", extra={
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"client_id": client_id,
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"ip_address": request.client.host,
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"user_agent": request.headers.get("User-Agent", "unknown"),
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"error": error_code # Use error codes, not full messages
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})
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```
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3. **Security Events to Log**:
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- Failed authentication attempts
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- Token validation failures
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- Rate limit violations
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- Input validation failures
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- HTTPS redirect actions
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- Client registration events
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4. **Use Structured Logging**: Include metadata as structured fields:
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```python
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logger.info("Client registered", extra={
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"event": "client.registered",
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"client_id": client_id,
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"registration_method": "self_service",
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"timestamp": datetime.utcnow().isoformat()
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})
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```
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5. **Sanitize User Input**: Always sanitize user-provided data before logging:
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```python
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def sanitize_for_logging(value: str, max_length: int = 100) -> str:
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"""Sanitize user input for safe logging."""
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# Remove control characters
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value = "".join(ch for ch in value if ch.isprintable())
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# Truncate if too long
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if len(value) > max_length:
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value = value[:max_length] + "..."
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return value
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```
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#### Security Audit Logging
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For security-critical operations, use a dedicated audit logger:
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```python
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audit_logger = logging.getLogger("security.audit")
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# Log security-critical events
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audit_logger.info("Token issued", extra={
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"event": "token.issued",
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"client_id": client_id,
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"scope": scope,
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"expires_in": expires_in,
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"ip_address": request.client.host
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})
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```
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#### Testing Logging Security
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Include tests that verify sensitive data doesn't leak into logs:
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```python
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def test_no_token_in_logs(caplog):
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"""Verify tokens are not logged in full."""
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token = "sensitive_token_abc123xyz789"
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# Perform operation that logs token
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validate_token(token)
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# Check logs don't contain full token
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for record in caplog.records:
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assert token not in record.getMessage()
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# But prefix might be present
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assert token[:8] in record.getMessage() or "***" in record.getMessage()
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```
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```
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## Summary
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All clarifications maintain the principle of simplicity while ensuring security. Key decisions:
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1. **CSP allows any HTTPS image source** - supports self-service model
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2. **HTTPS middleware checks proxy headers when configured** - supports real deployments
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3. **Token prefixes use consistent 8-char + ellipsis format** - aids monitoring
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4. **Timing tests use relaxed thresholds in CI** - balances reliability with security validation
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5. **SQL injection tests use behavioral testing** - more reliable than source inspection
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6. **Security config added to Config class** - runtime configuration for different environments
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7. **Pytest markers registered properly** - enables targeted test runs
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8. **Comprehensive security logging guidelines** - clear, actionable developer guidance
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These clarifications ensure the Developer can proceed with implementation without ambiguity while maintaining security best practices.
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docs/designs/phase-4b-security-hardening.md
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