Security by Design

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class SecureDevelopmentLifecycle:
    def __init__(self):
        self.phases = {
            'requirements': {
                'name': 'Security Requirements',
                'activities': [
                    'Security requirements gathering',
                    'Threat modeling',
                    'Security risk assessment',
                    'Compliance requirements'
                ],
                'deliverables': [
                    'Security requirements document',
                    'Threat model',
                    'Risk assessment report',
                    'Compliance matrix'
                ]
            },
            'design': {
                'name': 'Secure Design',
                'activities': [
                    'Security architecture design',
                    'Security control selection',
                    'Security pattern implementation',
                    'Security review'
                ],
                'deliverables': [
                    'Security architecture document',
                    'Security design patterns',
                    'Security control specifications',
                    'Design review report'
                ]
            },
            'implementation': {
                'name': 'Secure Implementation',
                'activities': [
                    'Secure coding practices',
                    'Code review',
                    'Static analysis',
                    'Security testing'
                ],
                'deliverables': [
                    'Secure code',
                    'Code review reports',
                    'Static analysis results',
                    'Security test results'
                ]
            },
            'testing': {
                'name': 'Security Testing',
                'activities': [
                    'Penetration testing',
                    'Vulnerability assessment',
                    'Security integration testing',
                    'Compliance testing'
                ],
                'deliverables': [
                    'Penetration test report',
                    'Vulnerability assessment',
                    'Security test results',
                    'Compliance report'
                ]
            },
            'deployment': {
                'name': 'Secure Deployment',
                'activities': [
                    'Security configuration',
                    'Security monitoring setup',
                    'Incident response preparation',
                    'Security training'
                ],
                'deliverables': [
                    'Security configuration guide',
                    'Monitoring setup',
                    'Incident response plan',
                    'Training materials'
                ]
            },
            'maintenance': {
                'name': 'Security Maintenance',
                'activities': [
                    'Security monitoring',
                    'Vulnerability management',
                    'Security updates',
                    'Security reviews'
                ],
                'deliverables': [
                    'Monitoring reports',
                    'Vulnerability reports',
                    'Update procedures',
                    'Review reports'
                ]
            }
        }
        
        self.security_gates = {}
        self.quality_metrics = {}
    
    def define_security_gate(self, phase, gate_config):
        """Definir puerta de seguridad"""
        self.security_gates[phase] = {
            'phase': phase,
            'criteria': gate_config['criteria'],
            'checklist': gate_config['checklist'],
            'approval_required': gate_config.get('approval_required', True),
            'automated_checks': gate_config.get('automated_checks', [])
        }
    
    def evaluate_security_gate(self, phase, project_data):
        """Evaluar puerta de seguridad"""
        if phase not in self.security_gates:
            return {'status': 'no_gate', 'message': 'No security gate defined'}
        
        gate = self.security_gates[phase]
        results = {
            'phase': phase,
            'criteria_met': [],
            'criteria_failed': [],
            'checklist_completed': [],
            'checklist_pending': [],
            'automated_checks': {},
            'overall_status': 'pending'
        }
        
        # Evaluar criterios
        for criterion in gate['criteria']:
            if self.evaluate_criterion(criterion, project_data):
                results['criteria_met'].append(criterion)
            else:
                results['criteria_failed'].append(criterion)
        
        # Evaluar checklist
        for item in gate['checklist']:
            if self.evaluate_checklist_item(item, project_data):
                results['checklist_completed'].append(item)
            else:
                results['checklist_pending'].append(item)
        
        # Ejecutar verificaciones automatizadas
        for check in gate['automated_checks']:
            check_result = self.run_automated_check(check, project_data)
            results['automated_checks'][check] = check_result
        
        # Determinar estado general
        if (len(results['criteria_failed']) == 0 and 
            len(results['checklist_pending']) == 0):
            results['overall_status'] = 'passed'
        else:
            results['overall_status'] = 'failed'
        
        return results
    
    def evaluate_criterion(self, criterion, project_data):
        """Evaluar criterio específico"""
        # Implementación simplificada
        criterion_checks = {
            'security_requirements_defined': 'security_requirements' in project_data,
            'threat_model_completed': 'threat_model' in project_data,
            'security_architecture_reviewed': 'security_architecture' in project_data,
            'code_review_completed': 'code_review' in project_data,
            'security_tests_passed': 'security_tests' in project_data
        }
        
        return criterion_checks.get(criterion, False)
    
    def evaluate_checklist_item(self, item, project_data):
        """Evaluar item del checklist"""
        # Implementación simplificada
        checklist_checks = {
            'security_documentation': 'security_docs' in project_data,
            'vulnerability_scan': 'vuln_scan' in project_data,
            'penetration_test': 'pen_test' in project_data,
            'security_training': 'security_training' in project_data
        }
        
        return checklist_checks.get(item, False)
    
    def run_automated_check(self, check_name, project_data):
        """Ejecutar verificación automatizada"""
        automated_checks = {
            'static_analysis': self.run_static_analysis(project_data),
            'dependency_scan': self.run_dependency_scan(project_data),
            'configuration_scan': self.run_configuration_scan(project_data),
            'compliance_check': self.run_compliance_check(project_data)
        }
        
        return automated_checks.get(check_name, {'status': 'not_implemented'})
    
    def run_static_analysis(self, project_data):
        """Ejecutar análisis estático"""
        # Simulación de análisis estático
        issues = [
            {'type': 'security', 'severity': 'high', 'count': 2},
            {'type': 'quality', 'severity': 'medium', 'count': 5},
            {'type': 'performance', 'severity': 'low', 'count': 3}
        ]
        
        return {
            'status': 'completed',
            'issues_found': len(issues),
            'security_issues': len([i for i in issues if i['type'] == 'security']),
            'issues': issues
        }
    
    def run_dependency_scan(self, project_data):
        """Ejecutar escaneo de dependencias"""
        # Simulación de escaneo de dependencias
        vulnerabilities = [
            {'package': 'lodash', 'version': '4.17.15', 'severity': 'high'},
            {'package': 'jquery', 'version': '3.4.1', 'severity': 'medium'}
        ]
        
        return {
            'status': 'completed',
            'vulnerabilities_found': len(vulnerabilities),
            'vulnerabilities': vulnerabilities
        }
    
    def run_configuration_scan(self, project_data):
        """Ejecutar escaneo de configuración"""
        # Simulación de escaneo de configuración
        misconfigurations = [
            {'type': 'weak_cipher', 'severity': 'high'},
            {'type': 'default_password', 'severity': 'critical'},
            {'type': 'unnecessary_service', 'severity': 'medium'}
        ]
        
        return {
            'status': 'completed',
            'misconfigurations_found': len(misconfigurations),
            'misconfigurations': misconfigurations
        }
    
    def run_compliance_check(self, project_data):
        """Ejecutar verificación de cumplimiento"""
        # Simulación de verificación de cumplimiento
        compliance_checks = {
            'ISO_27001': {'status': 'passed', 'score': 85},
            'GDPR': {'status': 'passed', 'score': 90},
            'PCI_DSS': {'status': 'failed', 'score': 70}
        }
        
        return {
            'status': 'completed',
            'compliance_checks': compliance_checks,
            'overall_compliance': 'partial'
        }

# Ejemplo de uso
sdl = SecureDevelopmentLifecycle()

# Definir puerta de seguridad para fase de diseño
sdl.define_security_gate('design', {
    'criteria': [
        'security_requirements_defined',
        'threat_model_completed',
        'security_architecture_reviewed'
    ],
    'checklist': [
        'security_documentation',
        'vulnerability_scan'
    ],
    'automated_checks': ['static_analysis', 'dependency_scan']
})

# Evaluar puerta de seguridad
project_data = {
    'security_requirements': True,
    'threat_model': True,
    'security_architecture': True,
    'security_docs': True,
    'vuln_scan': True
}

gate_result = sdl.evaluate_security_gate('design', project_data)
print(f"Resultado de puerta de seguridad: {gate_result['overall_status']}")

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class ThreatModeling:
    def __init__(self):
        self.threat_models = {}
        self.threat_categories = {
            'Spoofing': 'Suplantación de identidad',
            'Tampering': 'Modificación de datos',
            'Repudiation': 'Repudio de acciones',
            'Information_Disclosure': 'Divulgación de información',
            'Denial_of_Service': 'Denegación de servicio',
            'Elevation_of_Privilege': 'Elevación de privilegios'
        }
        
        self.threat_vectors = {}
        self.mitigation_strategies = {}
    
    def create_threat_model(self, model_id, system_config):
        """Crear modelo de amenazas"""
        self.threat_models[model_id] = {
            'model_id': model_id,
            'system_name': system_config['system_name'],
            'components': system_config.get('components', []),
            'data_flows': system_config.get('data_flows', []),
            'trust_boundaries': system_config.get('trust_boundaries', []),
            'threats': [],
            'mitigations': [],
            'risk_level': 'unknown',
            'created_date': datetime.now()
        }
        
        # Generar amenazas automáticamente
        self.generate_threats(model_id)
        
        return self.threat_models[model_id]
    
    def generate_threats(self, model_id):
        """Generar amenazas para el modelo"""
        if model_id not in self.threat_models:
            return
        
        model = self.threat_models[model_id]
        threats = []
        
        # Generar amenazas basadas en componentes
        for component in model['components']:
            component_threats = self.analyze_component_threats(component)
            threats.extend(component_threats)
        
        # Generar amenazas basadas en flujos de datos
        for data_flow in model['data_flows']:
            flow_threats = self.analyze_data_flow_threats(data_flow)
            threats.extend(flow_threats)
        
        # Generar amenazas basadas en límites de confianza
        for boundary in model['trust_boundaries']:
            boundary_threats = self.analyze_boundary_threats(boundary)
            threats.extend(boundary_threats)
        
        model['threats'] = threats
        model['risk_level'] = self.calculate_overall_risk(threats)
    
    def analyze_component_threats(self, component):
        """Analizar amenazas de componente"""
        threats = []
        
        component_type = component.get('type', 'unknown')
        
        if component_type == 'web_server':
            threats.extend([
                {
                    'id': f"THREAT-{component['id']}-001",
                    'category': 'Spoofing',
                    'description': 'Suplantación de identidad en servidor web',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'component': component['id']
                },
                {
                    'id': f"THREAT-{component['id']}-002",
                    'category': 'Tampering',
                    'description': 'Modificación de datos en servidor web',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'component': component['id']
                }
            ])
        elif component_type == 'database':
            threats.extend([
                {
                    'id': f"THREAT-{component['id']}-001",
                    'category': 'Information_Disclosure',
                    'description': 'Divulgación de información de base de datos',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'component': component['id']
                },
                {
                    'id': f"THREAT-{component['id']}-002",
                    'category': 'Tampering',
                    'description': 'Modificación de datos en base de datos',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'component': component['id']
                }
            ])
        
        return threats
    
    def analyze_data_flow_threats(self, data_flow):
        """Analizar amenazas de flujo de datos"""
        threats = []
        
        flow_type = data_flow.get('type', 'unknown')
        
        if flow_type == 'http':
            threats.extend([
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-001",
                    'category': 'Tampering',
                    'description': 'Modificación de datos en tráfico HTTP',
                    'likelihood': 'medium',
                    'impact': 'medium',
                    'data_flow': data_flow['id']
                },
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-002",
                    'category': 'Information_Disclosure',
                    'description': 'Interceptación de datos HTTP',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'data_flow': data_flow['id']
                }
            ])
        elif flow_type == 'database_connection':
            threats.extend([
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-001",
                    'category': 'Information_Disclosure',
                    'description': 'Interceptación de conexión a base de datos',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'data_flow': data_flow['id']
                }
            ])
        
        return threats
    
    def analyze_boundary_threats(self, boundary):
        """Analizar amenazas de límite de confianza"""
        threats = []
        
        boundary_type = boundary.get('type', 'unknown')
        
        if boundary_type == 'network':
            threats.extend([
                {
                    'id': f"THREAT-BOUNDARY-{boundary['id']}-001",
                    'category': 'Spoofing',
                    'description': 'Suplantación a través de límite de red',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'boundary': boundary['id']
                },
                {
                    'id': f"THREAT-BOUNDARY-{boundary['id']}-002",
                    'category': 'Tampering',
                    'description': 'Modificación de datos a través de límite de red',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'boundary': boundary['id']
                }
            ])
        
        return threats
    
    def calculate_overall_risk(self, threats):
        """Calcular riesgo general"""
        if not threats:
            return 'low'
        
        risk_scores = {
            'low': 1,
            'medium': 2,
            'high': 3,
            'critical': 4
        }
        
        total_score = 0
        for threat in threats:
            likelihood_score = risk_scores.get(threat['likelihood'], 1)
            impact_score = risk_scores.get(threat['impact'], 1)
            total_score += likelihood_score * impact_score
        
        average_score = total_score / len(threats)
        
        if average_score >= 3.5:
            return 'critical'
        elif average_score >= 2.5:
            return 'high'
        elif average_score >= 1.5:
            return 'medium'
        else:
            return 'low'
    
    def suggest_mitigations(self, model_id):
        """Sugerir mitigaciones para el modelo"""
        if model_id not in self.threat_models:
            return []
        
        model = self.threat_models[model_id]
        mitigations = []
        
        for threat in model['threats']:
            threat_mitigations = self.get_threat_mitigations(threat)
            mitigations.extend(threat_mitigations)
        
        # Eliminar duplicados
        unique_mitigations = []
        seen = set()
        for mitigation in mitigations:
            mitigation_key = (mitigation['type'], mitigation['description'])
            if mitigation_key not in seen:
                unique_mitigations.append(mitigation)
                seen.add(mitigation_key)
        
        return unique_mitigations
    
    def get_threat_mitigations(self, threat):
        """Obtener mitigaciones para una amenaza específica"""
        mitigations = []
        
        category = threat['category']
        
        if category == 'Spoofing':
            mitigations.append({
                'type': 'Authentication',
                'description': 'Implementar autenticación multifactor',
                'effectiveness': 'high',
                'cost': 'medium'
            })
        elif category == 'Tampering':
            mitigations.append({
                'type': 'Integrity',
                'description': 'Implementar firmas digitales',
                'effectiveness': 'high',
                'cost': 'medium'
            })
        elif category == 'Information_Disclosure':
            mitigations.append({
                'type': 'Encryption',
                'description': 'Implementar cifrado de datos',
                'effectiveness': 'high',
                'cost': 'low'
            })
        elif category == 'Denial_of_Service':
            mitigations.append({
                'type': 'Availability',
                'description': 'Implementar limitación de tasa',
                'effectiveness': 'medium',
                'cost': 'low'
            })
        
        return mitigations

# Ejemplo de uso
threat_modeling = ThreatModeling()

# Crear modelo de amenazas
system_config = {
    'system_name': 'E-commerce Platform',
    'components': [
        {'id': 'web_server', 'type': 'web_server', 'name': 'Web Server'},
        {'id': 'database', 'type': 'database', 'name': 'Customer Database'},
        {'id': 'payment_gateway', 'type': 'external_service', 'name': 'Payment Gateway'}
    ],
    'data_flows': [
        {'id': 'user_to_web', 'type': 'http', 'source': 'user', 'destination': 'web_server'},
        {'id': 'web_to_db', 'type': 'database_connection', 'source': 'web_server', 'destination': 'database'},
        {'id': 'web_to_payment', 'type': 'https', 'source': 'web_server', 'destination': 'payment_gateway'}
    ],
    'trust_boundaries': [
        {'id': 'internet_to_dmz', 'type': 'network', 'name': 'Internet to DMZ'},
        {'id': 'dmz_to_internal', 'type': 'network', 'name': 'DMZ to Internal'}
    ]
}

threat_model = threat_modeling.create_threat_model('TM-001', system_config)
print(f"Modelo de amenazas creado: {threat_model['system_name']}")
print(f"Nivel de riesgo: {threat_model['risk_level']}")
print(f"Amenazas identificadas: {len(threat_model['threats'])}")

# Sugerir mitigaciones
mitigations = threat_modeling.suggest_mitigations('TM-001')
print(f"Mitigaciones sugeridas: {len(mitigations)}")

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class SecureCodingPractices:
    def __init__(self):
        self.coding_standards = {
            'input_validation': {
                'name': 'Input Validation',
                'description': 'Validar todas las entradas del usuario',
                'examples': [
                    'Use parameterized queries',
                    'Validate input length and format',
                    'Sanitize user input',
                    'Use whitelist validation'
                ],
                'anti_patterns': [
                    'Direct string concatenation in SQL',
                    'Trusting user input without validation',
                    'Using blacklist validation only'
                ]
            },
            'authentication': {
                'name': 'Authentication',
                'description': 'Implementar autenticación segura',
                'examples': [
                    'Use strong password policies',
                    'Implement multi-factor authentication',
                    'Use secure session management',
                    'Implement account lockout'
                ],
                'anti_patterns': [
                    'Storing passwords in plain text',
                    'Weak password requirements',
                    'Session fixation vulnerabilities'
                ]
            },
            'authorization': {
                'name': 'Authorization',
                'description': 'Implementar autorización adecuada',
                'examples': [
                    'Implement role-based access control',
                    'Check permissions for each request',
                    'Use principle of least privilege',
                    'Implement proper session management'
                ],
                'anti_patterns': [
                    'Client-side authorization only',
                    'Missing authorization checks',
                    'Privilege escalation vulnerabilities'
                ]
            },
            'cryptography': {
                'name': 'Cryptography',
                'description': 'Usar criptografía adecuadamente',
                'examples': [
                    'Use proven cryptographic algorithms',
                    'Generate secure random numbers',
                    'Use proper key management',
                    'Implement secure communication'
                ],
                'anti_patterns': [
                    'Rolling your own crypto',
                    'Using weak algorithms',
                    'Hardcoded encryption keys'
                ]
            },
            'error_handling': {
                'name': 'Error Handling',
                'description': 'Manejar errores de forma segura',
                'examples': [
                    'Don\'t expose sensitive information',
                    'Log errors securely',
                    'Use generic error messages',
                    'Implement proper exception handling'
                ],
                'anti_patterns': [
                    'Exposing stack traces',
                    'Revealing system information',
                    'Insufficient error logging'
                ]
            }
        }
        
        self.code_review_checklist = {}
        self.static_analysis_rules = {}
    
    def create_code_review_checklist(self, language):
        """Crear checklist de revisión de código"""
        language_checklists = {
            'python': [
                'Input validation implemented',
                'SQL injection prevention',
                'XSS prevention',
                'Authentication implemented',
                'Authorization checks present',
                'Error handling secure',
                'Logging implemented',
                'Dependencies up to date'
            ],
            'javascript': [
                'Input validation on client and server',
                'XSS prevention',
                'CSRF protection',
                'Secure authentication',
                'Authorization checks',
                'Error handling secure',
                'Dependencies up to date',
                'Content Security Policy'
            ],
            'java': [
                'Input validation implemented',
                'SQL injection prevention',
                'XSS prevention',
                'Authentication implemented',
                'Authorization checks present',
                'Error handling secure',
                'Logging implemented',
                'Dependencies up to date'
            ]
        }
        
        self.code_review_checklist[language] = language_checklists.get(language, [])
        return self.code_review_checklist[language]
    
    def analyze_code_security(self, code_file, language):
        """Analizar seguridad del código"""
        analysis_result = {
            'file': code_file,
            'language': language,
            'security_issues': [],
            'compliance_score': 0.0,
            'recommendations': []
        }
        
        # Simular análisis de seguridad
        security_issues = self.simulate_security_analysis(code_file, language)
        analysis_result['security_issues'] = security_issues
        
        # Calcular score de cumplimiento
        checklist = self.create_code_review_checklist(language)
        compliance_score = self.calculate_compliance_score(code_file, checklist)
        analysis_result['compliance_score'] = compliance_score
        
        # Generar recomendaciones
        recommendations = self.generate_recommendations(security_issues, compliance_score)
        analysis_result['recommendations'] = recommendations
        
        return analysis_result
    
    def simulate_security_analysis(self, code_file, language):
        """Simular análisis de seguridad"""
        issues = []
        
        # Simular detección de problemas comunes
        if 'password' in code_file.lower():
            issues.append({
                'type': 'hardcoded_password',
                'severity': 'high',
                'line': 15,
                'description': 'Hardcoded password detected',
                'recommendation': 'Use environment variables or secure configuration'
            })
        
        if 'sql' in code_file.lower() and 'concatenation' in code_file.lower():
            issues.append({
                'type': 'sql_injection',
                'severity': 'critical',
                'line': 42,
                'description': 'Potential SQL injection vulnerability',
                'recommendation': 'Use parameterized queries'
            })
        
        if 'eval(' in code_file.lower():
            issues.append({
                'type': 'code_injection',
                'severity': 'critical',
                'line': 28,
                'description': 'Use of eval() function detected',
                'recommendation': 'Avoid eval() and use safer alternatives'
            })
        
        return issues
    
    def calculate_compliance_score(self, code_file, checklist):
        """Calcular score de cumplimiento"""
        total_checks = len(checklist)
        passed_checks = 0
        
        # Simular verificación de checklist
        for check in checklist:
            if self.simulate_check_passing(check, code_file):
                passed_checks += 1
        
        return (passed_checks / total_checks * 100) if total_checks > 0 else 0
    
    def simulate_check_passing(self, check, code_file):
        """Simular si un check pasa"""
        # Simulación simplificada
        check_keywords = {
            'input validation': ['validate', 'sanitize', 'filter'],
            'sql injection prevention': ['parameterized', 'prepared', 'bind'],
            'xss prevention': ['escape', 'encode', 'sanitize'],
            'authentication': ['auth', 'login', 'password'],
            'authorization': ['permission', 'role', 'access'],
            'error handling': ['try', 'catch', 'exception'],
            'logging': ['log', 'logger', 'audit']
        }
        
        keywords = check_keywords.get(check.lower(), [])
        return any(keyword in code_file.lower() for keyword in keywords)
    
    def generate_recommendations(self, security_issues, compliance_score):
        """Generar recomendaciones"""
        recommendations = []
        
        if compliance_score < 70:
            recommendations.append('Improve overall code security compliance')
        
        if any(issue['severity'] == 'critical' for issue in security_issues):
            recommendations.append('Address critical security issues immediately')
        
        if any(issue['type'] == 'sql_injection' for issue in security_issues):
            recommendations.append('Implement parameterized queries')
        
        if any(issue['type'] == 'hardcoded_password' for issue in security_issues):
            recommendations.append('Use secure configuration management')
        
        if compliance_score < 50:
            recommendations.append('Consider security training for development team')
        
        return recommendations
    
    def get_secure_coding_guidelines(self, language):
        """Obtener guías de codificación segura"""
        guidelines = {
            'python': {
                'input_validation': 'Use libraries like validators or cerberus',
                'sql_injection': 'Use SQLAlchemy ORM or parameterized queries',
                'xss_prevention': 'Use Jinja2 auto-escaping',
                'authentication': 'Use libraries like Flask-Login or Django auth',
                'cryptography': 'Use cryptography library for encryption'
            },
            'javascript': {
                'input_validation': 'Use libraries like Joi or Yup',
                'xss_prevention': 'Use DOMPurify for sanitization',
                'csrf_protection': 'Use CSRF tokens',
                'authentication': 'Use JWT with proper validation',
                'cryptography': 'Use Web Crypto API or crypto-js'
            },
            'java': {
                'input_validation': 'Use Bean Validation (JSR-303)',
                'sql_injection': 'Use PreparedStatement',
                'xss_prevention': 'Use OWASP Java Encoder',
                'authentication': 'Use Spring Security',
                'cryptography': 'Use Java Cryptography Extension (JCE)'
            }
        }
        
        return guidelines.get(language, {})

# Ejemplo de uso
secure_coding = SecureCodingPractices()

# Crear checklist para Python
python_checklist = secure_coding.create_code_review_checklist('python')
print(f"Checklist de Python: {python_checklist}")

# Analizar código de ejemplo
sample_code = """
def login(username, password):
    query = "SELECT * FROM users WHERE username = '" + username + "' AND password = '" + password + "'"
    result = execute_query(query)
    return result
"""

analysis = secure_coding.analyze_code_security(sample_code, 'python')
print(f"Análisis de seguridad: {analysis['compliance_score']:.1f}% compliance")
print(f"Issues encontrados: {len(analysis['security_issues'])}")

# Obtener guías de codificación
guidelines = secure_coding.get_secure_coding_guidelines('python')
print(f"Guías de Python: {list(guidelines.keys())}")