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feat: add cybersecurity examples with vulnerability management and forensics analyst specs
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spec "APTSimulation" v3.2 {
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description: "Advanced Persistent Threat simulation platform for expert red team operations with AI-enhanced multi-stage attack campaigns."
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inputs:
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campaign_id: string
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threat_actor: string { default: "custom" }
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organization_type: string
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target_size: string
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security_maturity: string { default: "intermediate" }
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geographic_region: string
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campaign_duration: int { default: 90 }
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stealth_level: string { default: "stealthy" }
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infrastructure_domains: string
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infrastructure_servers: string
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infrastructure_redirectors: string
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c2_protocols: string
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reconnaissance_scope: string
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social_engineering_enabled: bool { default: true }
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technical_attacks_enabled: bool { default: true }
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physical_attacks_enabled: bool { default: false }
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ai_models: string
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threat_intel_feeds: string
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evasion_techniques: string
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compliance_mode: bool { default: true }
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logging_level: string { default: "detailed" }
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audit_trail: bool { default: true }
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computed:
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campaign_start_time: -> now()
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estimated_duration: -> campaign_duration
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risk_score: -> calculate_risk_score()
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events:
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on_create(campaign): initialize_campaign
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on_change(stealth_level): adjust_tactics
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on_error(detection): execute_evasion
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actions:
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initialize_campaign {
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description: "Initialize campaign infrastructure and settings"
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mcp_call: "campaign/init"
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parameters: {
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campaign_id: campaign_id,
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threat_actor: threat_actor,
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organization_type: organization_type,
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target_size: target_size,
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security_maturity: security_maturity,
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geographic_region: geographic_region,
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campaign_duration: campaign_duration,
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stealth_level: stealth_level
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}
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}
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adjust_tactics {
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description: "Adjust tactics based on stealth level"
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mcp_call: "tactics/adjust"
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parameters: {
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stealth_level: stealth_level
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}
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}
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execute_evasion {
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description: "Execute evasion techniques"
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mcp_call: "evasion/execute"
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parameters: {
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evasion_techniques: evasion_techniques
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}
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}
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}
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spec "C2InfrastructureManagement" v4.2 {
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description: "Advanced command and control infrastructure management with AI-powered traffic analysis and dynamic scaling for expert red team operations."
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inputs:
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infrastructure_id: string
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deployment_region: string { default: "global" }
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server_count: int { default: 3 }
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protocol_type: string { default: "https" }
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stealth_level: string { default: "high" }
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domain_fronting: bool { default: true }
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traffic_shaping: bool { default: true }
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load_balancing: bool { default: true }
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failover_enabled: bool { default: true }
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encryption_method: string { default: "aes256" }
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authentication_required: bool { default: true }
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session_management: bool { default: true }
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heartbeat_interval: int { default: 300 }
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ai_models: string
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monitoring_tools: string
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evasion_techniques: string
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compliance_mode: bool { default: true }
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operational_security: bool { default: true }
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logging_level: string { default: "operational" }
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audit_trail: bool { default: true }
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computed:
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infrastructure_start_time: -> now()
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server_health_score: -> calculate_health()
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traffic_analysis_score: -> analyze_traffic()
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events:
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on_create(infrastructure): initialize_c2_infrastructure
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on_change(server_count): scale_infrastructure
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on_error(server_failure): handle_failover
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actions:
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initialize_c2_infrastructure {
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description: "Initialize C2 infrastructure deployment"
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mcp_call: "c2/initialize"
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parameters: {
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infrastructure_id: infrastructure_id,
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deployment_region: deployment_region,
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server_count: server_count,
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protocol_type: protocol_type,
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stealth_level: stealth_level
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}
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}
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scale_infrastructure {
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description: "Scale infrastructure based on demand"
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mcp_call: "c2/scale"
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parameters: {
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server_count: server_count,
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infrastructure_id: infrastructure_id
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}
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}
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handle_failover {
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description: "Handle server failures and failover procedures"
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mcp_call: "c2/failover"
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parameters: {
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infrastructure_id: infrastructure_id,
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failover_enabled: failover_enabled
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}
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}
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}
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spec "DataExfiltrationFramework" v3.8 {
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description: "Advanced data exfiltration framework with AI-powered data classification and multi-vector steganographic channels for expert red team operations."
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inputs:
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exfiltration_id: string
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target_data_types: string { default: "sensitive" }
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data_volume_limit: int { default: 1000 }
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stealth_level: string { default: "maximum" }
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exfiltration_method: string { default: "steganography" }
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data_classification: bool { default: true }
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encryption_enabled: bool { default: true }
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compression_enabled: bool { default: true }
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obfuscation_enabled: bool { default: true }
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bandwidth_throttling: bool { default: true }
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timing_randomization: bool { default: true }
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multi_channel_enabled: bool { default: true }
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detection_avoidance: bool { default: true }
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ai_models: string
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steganography_tools: string
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encryption_methods: string
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compliance_mode: bool { default: true }
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data_retention_limit: int { default: 30 }
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logging_level: string { default: "operational" }
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audit_trail: bool { default: true }
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computed:
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exfiltration_start_time: -> now()
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data_classification_score: -> classify_data()
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stealth_effectiveness: -> calculate_stealth()
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events:
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on_create(exfiltration): initialize_data_exfiltration
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on_change(data_volume_limit): adjust_exfiltration_scope
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on_error(detection): execute_emergency_cleanup
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actions:
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initialize_data_exfiltration {
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description: "Initialize data exfiltration operation"
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mcp_call: "exfiltration/initialize"
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parameters: {
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exfiltration_id: exfiltration_id,
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target_data_types: target_data_types,
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data_volume_limit: data_volume_limit,
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stealth_level: stealth_level,
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exfiltration_method: exfiltration_method
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}
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}
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adjust_exfiltration_scope {
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description: "Adjust exfiltration scope based on volume limits"
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mcp_call: "exfiltration/adjust_scope"
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parameters: {
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data_volume_limit: data_volume_limit,
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exfiltration_id: exfiltration_id
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}
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}
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execute_emergency_cleanup {
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description: "Execute emergency cleanup procedures"
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mcp_call: "exfiltration/emergency_cleanup"
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parameters: {
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exfiltration_id: exfiltration_id,
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cleanup_level: "comprehensive"
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}
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}
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}

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