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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

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/** * Comprehensive Threat Models and Risk Assessment * * STRIDE-based threat modeling with automated risk assessment, * attack surface analysis, and mitigation strategies */ import { EventEmitter } from "events"; import { Logger } from "../utils/logger.js"; import crypto from "crypto"; // Core threat modeling interfaces export interface ThreatModel { id: string; name: string; description: string; scope: string[]; assets: Asset[]; threats: Threat[]; vulnerabilities: Vulnerability[]; mitigations: Mitigation[]; risk_assessment: RiskAssessment; created_date: Date; last_updated: Date; version: string; } export interface Asset { id: string; name: string; type: "data" | "system" | "process" | "person" | "facility"; classification: "public" | "internal" | "confidential" | "restricted"; value: number; // 1-10 scale availability_requirement: "low" | "medium" | "high" | "critical"; integrity_requirement: "low" | "medium" | "high" | "critical"; confidentiality_requirement: "low" | "medium" | "high" | "critical"; dependencies: string[]; controls: string[]; threat_exposure: number; // 1-10 scale } export interface Threat { id: string; name: string; description: string; category: | "spoofing" | "tampering" | "repudiation" | "information_disclosure" | "denial_of_service" | "elevation_of_privilege"; likelihood: "very_low" | "low" | "medium" | "high" | "very_high"; impact: "very_low" | "low" | "medium" | "high" | "very_high"; risk_score: number; affected_assets: string[]; attack_vectors: string[]; threat_actors: string[]; mitigations: string[]; } export interface Vulnerability { id: string; name: string; description: string; type: "technical" | "physical" | "administrative" | "operational"; severity: "low" | "medium" | "high" | "critical"; cvss_score?: number; affected_assets: string[]; exploitability: "low" | "medium" | "high"; discovery_date: Date; remediation_complexity: "low" | "medium" | "high"; status: "open" | "in_progress" | "mitigated" | "accepted" | "closed"; } export interface Mitigation { id: string; name: string; description: string; type: "preventive" | "detective" | "corrective" | "deterrent"; effectiveness: "low" | "medium" | "high"; implementation_cost: "low" | "medium" | "high" | "very_high"; operational_impact: "low" | "medium" | "high"; threats_addressed: string[]; vulnerabilities_addressed: string[]; implementation_status: "planned" | "in_progress" | "implemented" | "verified"; implementation_date?: Date; responsible_party: string; } export interface RiskAssessment { overall_risk: "low" | "medium" | "high" | "critical"; risk_score: number; // 1-100 scale high_risk_threats: string[]; critical_vulnerabilities: string[]; recommended_mitigations: string[]; residual_risk: "low" | "medium" | "high" | "critical"; risk_appetite: "conservative" | "moderate" | "aggressive"; assessment_date: Date; next_review_date: Date; } export interface AttackPath { id: string; name: string; description: string; steps: AttackStep[]; likelihood: "very_low" | "low" | "medium" | "high" | "very_high"; impact: "very_low" | "low" | "medium" | "high" | "very_high"; risk_score: number; mitigations: string[]; } export interface AttackStep { step_number: number; technique: string; description: string; prerequisites: string[]; tools_required: string[]; skill_level: "low" | "medium" | "high" | "expert"; detection_difficulty: "easy" | "medium" | "hard" | "very_hard"; mitigations: string[]; } export interface ThreatIntelligence { id: string; source: string; threat_type: string; indicators: Indicator[]; attribution: string; confidence: "low" | "medium" | "high"; relevance: "low" | "medium" | "high"; last_updated: Date; expiry_date?: Date; } export interface Indicator { type: "ip" | "domain" | "url" | "hash" | "email" | "signature"; value: string; confidence: "low" | "medium" | "high"; last_seen: Date; context: string; } /** * Threat Modeling Manager */ export class ThreatModelingManager extends EventEmitter { private logger: Logger; private threatModels: Map<string, ThreatModel> = new Map(); private threatIntelligence: Map<string, ThreatIntelligence> = new Map(); private attackPaths: Map<string, AttackPath> = new Map(); private threatMetrics = { models_created: 0, threats_identified: 0, vulnerabilities_found: 0, mitigations_implemented: 0, risk_assessments_completed: 0, attack_paths_analyzed: 0, }; constructor() { super(); this.logger = new Logger("ThreatModelingManager"); this.initializeThreatDatabase(); this.startThreatMonitoring(); this.logger.info("Threat Modeling Manager initialized"); } /** * Create a new threat model */ async createThreatModel(params: { name: string; description: string; scope: string[]; assets: Omit<Asset, "id">[]; }): Promise<ThreatModel> { const modelId = crypto.randomUUID(); // Create assets with IDs const assets: Asset[] = params.assets.map((asset) => ({ id: crypto.randomUUID(), ...asset, })); // Analyze threats for each asset const threats = await this.identifyThreats(assets); // Identify vulnerabilities const vulnerabilities = await this.identifyVulnerabilities(assets); // Generate mitigations const mitigations = await this.generateMitigations( threats, vulnerabilities, ); // Perform risk assessment const riskAssessment = await this.performRiskAssessment( threats, vulnerabilities, mitigations, ); const threatModel: ThreatModel = { id: modelId, name: params.name, description: params.description, scope: params.scope, assets, threats, vulnerabilities, mitigations, risk_assessment: riskAssessment, created_date: new Date(), last_updated: new Date(), version: "1.0.0", }; this.threatModels.set(modelId, threatModel); this.threatMetrics.models_created++; this.threatMetrics.threats_identified += threats.length; this.threatMetrics.vulnerabilities_found += vulnerabilities.length; this.logger.info("Threat model created", { modelId, name: params.name, threats: threats.length, vulnerabilities: vulnerabilities.length, riskScore: riskAssessment.risk_score, }); this.emit("threat_model_created", { threatModel }); return threatModel; } /** * Analyze attack paths */ async analyzeAttackPaths(modelId: string): Promise<AttackPath[]> { const threatModel = this.threatModels.get(modelId); if (!threatModel) { throw new Error("Threat model not found"); } const attackPaths: AttackPath[] = []; // Generate attack paths for high-risk threats const highRiskThreats = threatModel.threats.filter( (t) => t.risk_score >= 7, ); for (const threat of highRiskThreats) { const attackPath = await this.generateAttackPath(threat, threatModel); attackPaths.push(attackPath); this.attackPaths.set(attackPath.id, attackPath); } this.threatMetrics.attack_paths_analyzed += attackPaths.length; return attackPaths; } /** * Update threat intelligence */ async updateThreatIntelligence( intelligence: Omit<ThreatIntelligence, "id">, ): Promise<void> { const intelligenceId = crypto.randomUUID(); const threatIntel: ThreatIntelligence = { id: intelligenceId, ...intelligence, }; this.threatIntelligence.set(intelligenceId, threatIntel); // Check if this intelligence affects existing threat models await this.correlateWithThreatModels(threatIntel); this.logger.info("Threat intelligence updated", { intelligenceId, source: intelligence.source, type: intelligence.threat_type, }); this.emit("threat_intelligence_updated", { threatIntel }); } /** * Get threat model */ getThreatModel(modelId: string): ThreatModel | undefined { return this.threatModels.get(modelId); } /** * Get all threat models */ getThreatModels(): ThreatModel[] { return Array.from(this.threatModels.values()); } /** * Get threat metrics */ getThreatMetrics() { return { ...this.threatMetrics }; } // Private helper methods private initializeThreatDatabase(): void { // Initialize with common threat patterns this.logger.debug("Threat database initialized"); } private startThreatMonitoring(): void { // Monitor for new threats and intelligence updates setInterval(() => { this.performThreatAnalysis(); }, 3600000); // Every hour } private async identifyThreats(assets: Asset[]): Promise<Threat[]> { const threats: Threat[] = []; // STRIDE-based threat identification for (const asset of assets) { // Spoofing threats if (asset.type === "system" || asset.type === "person") { threats.push({ id: crypto.randomUUID(), name: `Identity Spoofing - ${asset.name}`, description: `Threat actor impersonates ${asset.name}`, category: "spoofing", likelihood: "medium", impact: "high", risk_score: 6, affected_assets: [asset.id], attack_vectors: ["phishing", "credential_theft"], threat_actors: ["external_attacker", "insider_threat"], mitigations: [], }); } // Tampering threats if (asset.type === "data" || asset.type === "system") { threats.push({ id: crypto.randomUUID(), name: `Data Tampering - ${asset.name}`, description: `Unauthorized modification of ${asset.name}`, category: "tampering", likelihood: "medium", impact: asset.integrity_requirement === "critical" ? "very_high" : "high", risk_score: 7, affected_assets: [asset.id], attack_vectors: ["unauthorized_access", "privilege_escalation"], threat_actors: ["insider_threat", "external_attacker"], mitigations: [], }); } // Information Disclosure threats if (asset.type === "data") { threats.push({ id: crypto.randomUUID(), name: `Information Disclosure - ${asset.name}`, description: `Unauthorized access to ${asset.name}`, category: "information_disclosure", likelihood: "high", impact: asset.confidentiality_requirement === "critical" ? "very_high" : "high", risk_score: 8, affected_assets: [asset.id], attack_vectors: [ "data_breach", "privilege_escalation", "social_engineering", ], threat_actors: ["external_attacker", "insider_threat"], mitigations: [], }); } } return threats; } private async identifyVulnerabilities( assets: Asset[], ): Promise<Vulnerability[]> { const vulnerabilities: Vulnerability[] = []; // Common vulnerability patterns for (const asset of assets) { if (asset.type === "system") { vulnerabilities.push({ id: crypto.randomUUID(), name: `Unpatched Software - ${asset.name}`, description: `${asset.name} may have unpatched vulnerabilities`, type: "technical", severity: "medium", affected_assets: [asset.id], exploitability: "medium", discovery_date: new Date(), remediation_complexity: "low", status: "open", }); } } return vulnerabilities; } private async generateMitigations( threats: Threat[], vulnerabilities: Vulnerability[], ): Promise<Mitigation[]> { const mitigations: Mitigation[] = []; // Generate mitigations for identified threats const threatsByCategory = threats.reduce( (acc, threat) => { if (!acc[threat.category]) acc[threat.category] = []; acc[threat.category].push(threat); return acc; }, {} as Record<string, Threat[]>, ); for (const [category, categoryThreats] of Object.entries( threatsByCategory, )) { switch (category) { case "spoofing": mitigations.push({ id: crypto.randomUUID(), name: "Multi-Factor Authentication", description: "Implement MFA to prevent identity spoofing", type: "preventive", effectiveness: "high", implementation_cost: "medium", operational_impact: "low", threats_addressed: categoryThreats.map((t) => t.id), vulnerabilities_addressed: [], implementation_status: "planned", responsible_party: "Security Team", }); break; case "tampering": mitigations.push({ id: crypto.randomUUID(), name: "Data Integrity Controls", description: "Implement checksums and digital signatures", type: "detective", effectiveness: "high", implementation_cost: "medium", operational_impact: "low", threats_addressed: categoryThreats.map((t) => t.id), vulnerabilities_addressed: [], implementation_status: "planned", responsible_party: "Development Team", }); break; case "information_disclosure": mitigations.push({ id: crypto.randomUUID(), name: "Data Encryption", description: "Encrypt sensitive data at rest and in transit", type: "preventive", effectiveness: "high", implementation_cost: "medium", operational_impact: "low", threats_addressed: categoryThreats.map((t) => t.id), vulnerabilities_addressed: [], implementation_status: "planned", responsible_party: "Security Team", }); break; } } return mitigations; } private async performRiskAssessment( threats: Threat[], vulnerabilities: Vulnerability[], mitigations: Mitigation[], ): Promise<RiskAssessment> { // Calculate overall risk score const riskScore = threats.reduce((sum, threat) => sum + threat.risk_score, 0) / threats.length; const highRiskThreats = threats .filter((t) => t.risk_score >= 7) .map((t) => t.id); const criticalVulnerabilities = vulnerabilities .filter((v) => v.severity === "critical") .map((v) => v.id); return { overall_risk: riskScore >= 8 ? "critical" : riskScore >= 6 ? "high" : riskScore >= 4 ? "medium" : "low", risk_score: riskScore, high_risk_threats: highRiskThreats, critical_vulnerabilities: criticalVulnerabilities, recommended_mitigations: mitigations.slice(0, 5).map((m) => m.id), residual_risk: "medium", // Calculated after mitigations risk_appetite: "moderate", assessment_date: new Date(), next_review_date: new Date(Date.now() + 90 * 24 * 60 * 60 * 1000), // 90 days }; } private async generateAttackPath( threat: Threat, threatModel: ThreatModel, ): Promise<AttackPath> { const attackPath: AttackPath = { id: crypto.randomUUID(), name: `Attack Path - ${threat.name}`, description: `Potential attack path for ${threat.name}`, steps: [ { step_number: 1, technique: "Initial Access", description: "Attacker gains initial access to the system", prerequisites: [], tools_required: ["social_engineering", "phishing"], skill_level: "medium", detection_difficulty: "medium", mitigations: ["security_awareness_training", "email_filtering"], }, { step_number: 2, technique: "Privilege Escalation", description: "Attacker escalates privileges", prerequisites: ["initial_access"], tools_required: ["exploit_kit", "privilege_escalation_tools"], skill_level: "high", detection_difficulty: "hard", mitigations: ["least_privilege", "endpoint_detection"], }, ], likelihood: threat.likelihood, impact: threat.impact, risk_score: threat.risk_score, mitigations: [], }; return attackPath; } private async correlateWithThreatModels( intelligence: ThreatIntelligence, ): Promise<void> { // Correlate new threat intelligence with existing threat models for (const [modelId, threatModel] of this.threatModels) { const relevantThreats = threatModel.threats.filter( (threat) => threat.category.includes(intelligence.threat_type) || threat.threat_actors.some((actor) => intelligence.attribution.includes(actor), ), ); if (relevantThreats.length > 0) { this.emit("threat_correlation_found", { modelId, intelligenceId: intelligence.id, relevantThreats: relevantThreats.map((t) => t.id), }); } } } private async performThreatAnalysis(): Promise<void> { // Analyze threat landscape and update risk assessments this.logger.debug("Threat analysis performed"); } }