# Phase 2: Secrets Detection Module - COMPLETE

## Delivery Summary

Successfully implemented comprehensive secrets detection module for Empathy Framework Phase 2 enterprise privacy integration.

## Files Delivered

### Core Implementation
- **`secrets_detector.py`** (22 KB, 181 lines)
  - Complete SecretsDetector class with 20+ built-in patterns
  - Entropy analysis for unknown secrets
  - Custom pattern support
  - Zero secret leakage guarantee
  - 94.98% test coverage

### Module Infrastructure
- **`__init__.py`** (1.3 KB)
  - Clean module exports
  - Public API definition

### Testing
- **`test_secrets_detector.py`** (15 KB, 28 tests)
  - 100% test pass rate (28/28)
  - Comprehensive coverage of all secret types
  - Edge case testing
  - Performance benchmarks

### Documentation
- **`README.md`** (7.3 KB)
  - Complete API documentation
  - Usage examples
  - Architecture overview
  - Compliance mapping
  - Future enhancements roadmap

### Examples
- **`secrets_detector_example.py`** (12 KB, 7 examples)
  - Basic detection
  - File scanning
  - Custom patterns
  - Entropy detection
  - CI/CD integration
  - Audit logging integration
  - Convenience functions

## Features Implemented

### 1. Comprehensive Secret Detection (20+ Patterns)

#### API Keys
- ✅ Anthropic API keys (`sk-ant-...`)
- ✅ OpenAI API keys (`sk-...`)
- ✅ AWS Access Keys (`AKIA...`)
- ✅ AWS Secret Keys
- ✅ GitHub tokens (`ghp_...`, `gho_...`, `ghs_...`, `ghr_...`)
- ✅ Slack tokens (`xox[abprs]-...`)
- ✅ Stripe keys (`sk_live_...`, `pk_live_...`, `sk_test_...`)
- ✅ Generic API key patterns

#### Credentials
- ✅ Password assignments
- ✅ Basic Auth (base64 encoded)

#### Private Keys
- ✅ RSA private keys
- ✅ SSH private keys (OpenSSH format)
- ✅ EC (Elliptic Curve) private keys
- ✅ PGP private keys
- ✅ TLS/SSL certificate keys

#### Tokens
- ✅ JWT tokens (`eyJ...`)
- ✅ OAuth access tokens
- ✅ Bearer tokens

#### Database
- ✅ PostgreSQL connection URLs
- ✅ MySQL connection URLs
- ✅ MongoDB connection URLs
- ✅ Redis connection URLs
- ✅ Generic connection strings

#### Advanced Detection
- ✅ High-entropy string detection (configurable)
- ✅ Custom pattern support (organization-specific)

### 2. Security Features

- ✅ **Zero Secret Leakage**: Actual secret values NEVER logged or returned
- ✅ **Automatic Redaction**: Context snippets use `[REDACTED]` placeholder
- ✅ **Metadata Only**: Returns type, location, severity - never values
- ✅ **Audit Safe**: All outputs safe to log without exposing credentials

### 3. Detection Metadata

Each detection includes:
- Secret type (enum)
- Severity level (CRITICAL, HIGH, MEDIUM, LOW)
- Line number and column position
- Context snippet (redacted)
- Confidence score (0.0-1.0)
- Additional metadata (custom pattern name, entropy, etc.)

### 4. Performance Optimizations

- ✅ Compiled regex patterns (pre-compiled at initialization)
- ✅ Early exit on detection
- ✅ Efficient entropy analysis (only on quoted strings)
- ✅ Large file support (tested with 10,000+ lines)
- ✅ Performance: < 5 seconds for 10K line files

### 5. Extensibility

- ✅ Custom pattern API (`add_custom_pattern()`)
- ✅ Pattern removal (`remove_custom_pattern()`)
- ✅ Configurable entropy thresholds
- ✅ Configurable minimum string lengths
- ✅ Severity level customization

### 6. Developer Experience

- ✅ Clean, intuitive API
- ✅ Comprehensive docstrings
- ✅ Type hints throughout
- ✅ Convenience function (`detect_secrets()`)
- ✅ Rich statistics (`get_statistics()`)
- ✅ Structured logging (structlog)

## Test Results

```
================================ test session starts ==============================
collected 28 items

empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_initialization PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_anthropic_api_key_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_openai_api_key_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_aws_credentials_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_github_token_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_slack_token_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_stripe_key_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_password_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_private_key_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_jwt_token_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_database_url_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_high_entropy_detection PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_entropy_disabled PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_custom_pattern PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_custom_pattern_removal PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_invalid_custom_pattern PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_invalid_severity PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_secret_redaction PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_line_number_accuracy PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_multiple_secrets_same_line PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_empty_content PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_no_secrets PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_statistics PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_detection_to_dict PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_convenience_function PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetector::test_performance_large_file PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetectorIntegration::test_config_file_scanning PASSED
empathy_llm_toolkit/security/test_secrets_detector.py::TestSecretsDetectorIntegration::test_code_file_scanning PASSED

============================== 28 passed in 1.58s =============================

Coverage: 94.98% of secrets_detector.py
```

## Code Quality Metrics

- **Test Coverage**: 94.98%
- **Test Pass Rate**: 100% (28/28 tests)
- **Code Style**: Follows existing Empathy Framework patterns
- **Documentation**: Comprehensive docstrings and README
- **Type Safety**: Full type hints throughout
- **Logging**: Structured logging with appropriate levels

## Usage Example

```python
from empathy_llm_toolkit.security import SecretsDetector

# Initialize detector
detector = SecretsDetector()

# Scan code
code = """
ANTHROPIC_API_KEY = "sk-ant-api03-abc123..."
password = "my_secret_pass"
"""

detections = detector.detect(code)

# Process results
for detection in detections:
    print(f"Found {detection.secret_type.value}")
    print(f"  Severity: {detection.severity.value}")
    print(f"  Location: Line {detection.line_number}")
    print(f"  Context: {detection.context_snippet}")  # Secret is [REDACTED]
```

## Integration with Phase 2 Architecture

The secrets detector integrates seamlessly with the security architecture defined in `SECURE_MEMORY_ARCHITECTURE.md`:

1. **Before LLM Requests**: Scan content for secrets (Section 2)
2. **Before MemDocs Storage**: Ensure no secrets stored (Section 4)
3. **Audit Logging**: Log detection count, not values (Section 3)
4. **Compliance**: Supports OWASP, GDPR, SOC2, HIPAA (Section 7)

## Compliance Mapping

### OWASP Top 10 A02:2021 - Cryptographic Failures
✅ Prevents hardcoded credentials in code

### GDPR Article 32 - Security of Processing
✅ Protects credentials from unauthorized access

### SOC2 CC6.1 - Logical Access
✅ Prevents credential exposure through code

### HIPAA §164.312(a)(1) - Access Control
✅ Ensures proper credential management

## Next Steps for Phase 3

### Integration Tasks
1. Connect with `SecureMemDocsIntegration` class
2. Add to `EmpathyLLM.interact()` pre-processing
3. Integrate with audit logger
4. Add to CI/CD pipeline (pre-commit hooks)

### Enhancement Opportunities
1. Git history scanning
2. Secret replacement/redaction utilities
3. Real-time monitoring with alerts
4. Integration with secret managers (Vault, AWS Secrets Manager)
5. Machine learning for pattern improvement

## References

- **Architecture**: `/SECURE_MEMORY_ARCHITECTURE.md`
- **Security Policy**: `/examples/claude_memory/enterprise-CLAUDE-secure.md`
- **Test Suite**: `empathy_llm_toolkit/security/test_secrets_detector.py`
- **Examples**: `empathy_llm_toolkit/security/secrets_detector_example.py`
- **Documentation**: `empathy_llm_toolkit/security/README.md`

## Deliverable Status

| Component | Status | Coverage | Notes |
|-----------|--------|----------|-------|
| Core Module | ✅ Complete | 94.98% | All patterns implemented |
| Test Suite | ✅ Complete | 100% pass | 28/28 tests passing |
| Documentation | ✅ Complete | N/A | README + examples + docstrings |
| Examples | ✅ Complete | N/A | 7 practical examples |
| Module Exports | ✅ Complete | 100% | Clean public API |

## Sign-Off

**Phase 2: Secrets Detection Module**
Status: ✅ **COMPLETE**
Date: 2025-11-24
Version: 1.8.0-beta

Ready for integration with Phase 3 (PII Scrubbing, Audit Logging, Classification System).

---

**Empathy Framework Team**
Fair Source 0.9 License
