@clduab11/gemini-flow
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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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text/typescript
/**
* 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");
}
}