#!/usr/bin/env python3 """ Cloudflare Incident Response Playbooks Standardized procedures for common infrastructure incidents """ from enum import Enum from typing import Dict, List, Optional from dataclasses import dataclass from datetime import datetime class IncidentSeverity(str, Enum): """Incident severity levels""" LOW = "low" MEDIUM = "medium" HIGH = "high" CRITICAL = "critical" class IncidentType(str, Enum): """Types of infrastructure incidents""" DNS_OUTAGE = "dns_outage" WAF_BYPASS = "waf_bypass" TUNNEL_FAILURE = "tunnel_failure" SECURITY_BREACH = "security_breach" CONFIGURATION_ERROR = "configuration_error" PERFORMANCE_DEGRADATION = "performance_degradation" @dataclass class IncidentResponse: """Incident response procedure""" incident_type: IncidentType severity: IncidentSeverity immediate_actions: List[str] investigation_steps: List[str] recovery_procedures: List[str] prevention_measures: List[str] escalation_path: List[str] time_to_resolve: str class IncidentResponsePlaybook: """Collection of incident response playbooks""" def __init__(self): self.playbooks = self._initialize_playbooks() def _initialize_playbooks(self) -> Dict[IncidentType, IncidentResponse]: """Initialize all incident response playbooks""" return { IncidentType.DNS_OUTAGE: IncidentResponse( incident_type=IncidentType.DNS_OUTAGE, severity=IncidentSeverity.HIGH, immediate_actions=[ "Verify DNS resolution using external tools (dig, nslookup)", "Check Cloudflare DNS dashboard for zone status", "Review recent DNS changes in version control", "Verify origin server connectivity", "Check Cloudflare status page for service issues", ], investigation_steps=[ "Examine DNS record changes in Git history", "Check Terraform state for unexpected modifications", "Review Cloudflare audit logs for recent changes", "Verify DNS propagation using multiple geographic locations", "Check for DNSSEC configuration issues", ], recovery_procedures=[ "Rollback recent DNS changes using Terraform", "Manually restore critical DNS records if needed", "Update TTL values for faster propagation", "Contact Cloudflare support if service-related", "Implement traffic rerouting if necessary", ], prevention_measures=[ "Implement DNS change approval workflows", "Use Terraform plan/apply with peer review", "Monitor DNS resolution from multiple locations", "Implement automated DNS health checks", "Maintain backup DNS configurations", ], escalation_path=[ "Primary DNS Administrator", "Infrastructure Team Lead", "Cloudflare Support", "Security Team", ], time_to_resolve="1-4 hours", ), IncidentType.WAF_BYPASS: IncidentResponse( incident_type=IncidentType.WAF_BYPASS, severity=IncidentSeverity.CRITICAL, immediate_actions=[ "Immediately review WAF event logs for suspicious activity", "Check for recent WAF rule modifications", "Verify WAF rule package status and mode", "Temporarily block suspicious IP addresses", "Enable challenge mode for suspicious traffic patterns", ], investigation_steps=[ "Analyze WAF rule changes in version control", "Review Cloudflare firewall event logs", "Check for anomalous traffic patterns", "Verify WAF rule effectiveness using test payloads", "Examine rate limiting and threat score thresholds", ], recovery_procedures=[ "Rollback WAF rule changes to known good state", "Implement emergency WAF rules to block attack patterns", "Update threat intelligence feeds", "Increase security level for affected zones", "Deploy additional security measures (Bot Fight Mode, etc.)", ], prevention_measures=[ "Implement WAF change approval workflows", "Regular security testing of WAF rules", "Monitor WAF event logs for anomalies", "Implement automated WAF rule validation", "Regular security awareness training", ], escalation_path=[ "Security Incident Response Team", "WAF Administrator", "Infrastructure Security Lead", "CISO/Management", ], time_to_resolve="2-6 hours", ), IncidentType.TUNNEL_FAILURE: IncidentResponse( incident_type=IncidentType.TUNNEL_FAILURE, severity=IncidentSeverity.MEDIUM, immediate_actions=[ "Check Cloudflare Tunnel status and connectivity", "Verify origin server availability and configuration", "Check tunnel connector logs for errors", "Restart tunnel connector service if needed", "Verify DNS records point to correct tunnel endpoints", ], investigation_steps=[ "Review recent tunnel configuration changes", "Check network connectivity between connector and Cloudflare", "Examine tunnel connector resource usage", "Verify certificate validity and renewal status", "Check for firewall/network policy changes", ], recovery_procedures=[ "Restart tunnel connector with updated configuration", "Rollback recent tunnel configuration changes", "Recreate tunnel connector if necessary", "Update DNS records to alternative endpoints", "Implement traffic failover mechanisms", ], prevention_measures=[ "Implement tunnel health monitoring", "Use redundant tunnel configurations", "Regular tunnel connector updates and maintenance", "Monitor certificate expiration dates", "Implement automated tunnel failover", ], escalation_path=[ "Network Administrator", "Infrastructure Team", "Cloudflare Support", "Security Team", ], time_to_resolve="1-3 hours", ), IncidentType.SECURITY_BREACH: IncidentResponse( incident_type=IncidentType.SECURITY_BREACH, severity=IncidentSeverity.CRITICAL, immediate_actions=[ "Isolate affected systems and services immediately", "Preserve logs and evidence for forensic analysis", "Change all relevant credentials and API tokens", "Notify security incident response team", "Implement emergency security controls", ], investigation_steps=[ "Conduct forensic analysis of compromised systems", "Review Cloudflare audit logs for unauthorized access", "Check for API token misuse or unauthorized changes", "Examine DNS/WAF/Tunnel configuration changes", "Coordinate with legal and compliance teams", ], recovery_procedures=[ "Rotate all Cloudflare API tokens and credentials", "Restore configurations from verified backups", "Implement enhanced security monitoring", "Conduct post-incident security assessment", "Update incident response procedures based on lessons learned", ], prevention_measures=[ "Implement multi-factor authentication", "Regular security audits and penetration testing", "Monitor for suspicious API activity", "Implement least privilege access controls", "Regular security awareness training", ], escalation_path=[ "Security Incident Response Team", "CISO/Management", "Legal Department", "External Security Consultants", ], time_to_resolve="4-24 hours", ), IncidentType.CONFIGURATION_ERROR: IncidentResponse( incident_type=IncidentType.CONFIGURATION_ERROR, severity=IncidentSeverity.MEDIUM, immediate_actions=[ "Identify the specific configuration error", "Assess impact on services and users", "Check version control for recent changes", "Verify Terraform plan output for unexpected changes", "Communicate status to stakeholders", ], investigation_steps=[ "Review Git commit history for configuration changes", "Examine Terraform state differences", "Check Cloudflare configuration against documented standards", "Verify configuration consistency across environments", "Identify root cause of configuration error", ], recovery_procedures=[ "Rollback configuration using Terraform", "Apply corrected configuration changes", "Verify service restoration and functionality", "Update configuration documentation", "Implement configuration validation checks", ], prevention_measures=[ "Implement configuration change approval workflows", "Use infrastructure as code with peer review", "Implement automated configuration validation", "Regular configuration audits", "Maintain configuration documentation", ], escalation_path=[ "Configuration Administrator", "Infrastructure Team Lead", "Quality Assurance Team", "Management", ], time_to_resolve="1-4 hours", ), IncidentType.PERFORMANCE_DEGRADATION: IncidentResponse( incident_type=IncidentType.PERFORMANCE_DEGRADATION, severity=IncidentSeverity.LOW, immediate_actions=[ "Monitor performance metrics and identify bottlenecks", "Check Cloudflare analytics for traffic patterns", "Verify origin server performance and resource usage", "Review recent configuration changes", "Implement temporary performance optimizations", ], investigation_steps=[ "Analyze performance metrics over time", "Check for DDoS attacks or abnormal traffic patterns", "Review caching configuration and hit rates", "Examine origin server response times", "Identify specific performance bottlenecks", ], recovery_procedures=[ "Optimize caching configuration", "Adjust performance settings (Polish, Mirage, etc.)", "Implement rate limiting if under attack", "Scale origin server resources if needed", "Update CDN configuration for better performance", ], prevention_measures=[ "Implement performance monitoring and alerting", "Regular performance testing and optimization", "Capacity planning and resource forecasting", "Implement automated scaling mechanisms", "Regular performance reviews and optimizations", ], escalation_path=[ "Performance Monitoring Team", "Infrastructure Team", "Application Development Team", "Management", ], time_to_resolve="2-8 hours", ), } def get_playbook(self, incident_type: IncidentType) -> Optional[IncidentResponse]: """Get the playbook for a specific incident type""" return self.playbooks.get(incident_type) def list_playbooks(self) -> List[IncidentType]: """List all available playbooks""" return list(self.playbooks.keys()) def execute_playbook( self, incident_type: IncidentType, custom_context: Optional[Dict] = None ) -> Dict: """Execute a specific incident response playbook""" playbook = self.get_playbook(incident_type) if not playbook: return {"error": f"No playbook found for incident type: {incident_type}"} execution_log = { "incident_type": incident_type.value, "severity": playbook.severity.value, "start_time": datetime.now().isoformat(), "steps_completed": [], "custom_context": custom_context or {}, } # Simulate execution (in real implementation, this would trigger actual actions) execution_log["steps_completed"].extend( [ f"Initiated {incident_type.value} response procedure", f"Severity level: {playbook.severity.value}", "Notified escalation path contacts", ] ) execution_log["estimated_resolution_time"] = playbook.time_to_resolve execution_log["completion_status"] = "in_progress" return execution_log def main(): """Command-line interface for incident response playbooks""" import argparse parser = argparse.ArgumentParser( description="Cloudflare Incident Response Playbooks" ) parser.add_argument( "action", choices=["list", "show", "execute"], help="Action to perform" ) parser.add_argument( "--type", choices=[t.value for t in IncidentType], help="Incident type" ) args = parser.parse_args() playbook_manager = IncidentResponsePlaybook() if args.action == "list": print("šŸ“‹ Available Incident Response Playbooks:") print("-" * 50) for incident_type in playbook_manager.list_playbooks(): playbook = playbook_manager.get_playbook(incident_type) if not playbook: continue print(f"šŸ”ø {incident_type.value}") print(f" Severity: {playbook.severity.value}") print(f" Resolution Time: {playbook.time_to_resolve}") print() elif args.action == "show": if not args.type: print("āŒ Error: --type argument required") return try: incident_type = IncidentType(args.type) except ValueError: print(f"āŒ Error: Invalid incident type: {args.type}") return playbook = playbook_manager.get_playbook(incident_type) if not playbook: print(f"āŒ Error: No playbook found for {args.type}") return print(f"šŸ” Incident Response Playbook: {incident_type.value}") print("=" * 60) print(f"Severity: {playbook.severity.value}") print(f"Estimated Resolution: {playbook.time_to_resolve}") print("\nšŸšØ Immediate Actions:") for i, action in enumerate(playbook.immediate_actions, 1): print(f" {i}. {action}") print("\nšŸ” Investigation Steps:") for i, step in enumerate(playbook.investigation_steps, 1): print(f" {i}. {step}") print("\nšŸ”„ Recovery Procedures:") for i, procedure in enumerate(playbook.recovery_procedures, 1): print(f" {i}. {procedure}") print("\nšŸ›”ļø Prevention Measures:") for i, measure in enumerate(playbook.prevention_measures, 1): print(f" {i}. {measure}") print("\nšŸ“ž Escalation Path:") for i, contact in enumerate(playbook.escalation_path, 1): print(f" {i}. {contact}") elif args.action == "execute": if not args.type: print("āŒ Error: --type argument required") return try: incident_type = IncidentType(args.type) except ValueError: print(f"āŒ Error: Invalid incident type: {args.type}") return result = playbook_manager.execute_playbook(incident_type) print(f"šŸš€ Executing {incident_type.value} Incident Response") print(f"šŸ“Š Result: {result}") if __name__ == "__main__": main()