@raven-js/eye 🦅

Raven's reconnaissance intelligence - Zero-dependency digital fingerprinting and security assessment library

Eye provides surgical precision for reconnaissance intelligence - comprehensive digital fingerprinting, security assessment, competitive analysis, and vulnerability discovery. Built with zero dependencies and modern JavaScript, it delivers the sharp reconnaissance tools needed for apex predator intelligence gathering.

Installation

npm install @raven-js/eye

Usage

import * as dns from "@raven-js/eye/dns";
import * as security from "@raven-js/eye/security";
import * as intel from "@raven-js/eye/intel";

// DNS reconnaissance
const subdomains = await dns.findSubdomains('example.com');
const hosting = await dns.getHostingInfo('example.com');

// Security assessment
const exposedFiles = await security.findExposedFiles('https://example.com');
const vulnerabilities = await security.findSecurityIssues('https://example.com');

// Complete intelligence gathering
const report = await intel.fullRecon('https://example.com');
console.log(report.critical); // Critical security issues found

Reconnaissance Modules

• DNS - Subdomain enumeration, hosting detection, email configuration analysis
• HTTP - Server fingerprinting, security headers, infrastructure detection
• Security - Vulnerability discovery, exposed file detection, attack surface mapping
• Tech - Technology stack identification, platform detection, competitive intelligence
• Assets - Resource discovery, dependency mapping, performance analysis
• APIs - Endpoint discovery, GraphQL introspection, WebSocket detection
• Intel - High-level intelligence synthesis and comprehensive reporting

Philosophy

Eye embodies the Raven philosophy of surgical reconnaissance intelligence:

• Zero dependencies - No supply chain vulnerabilities
• Modern JavaScript - ESNext features, no transpilation
• Platform-native - Built on Node.js and browser APIs
• Surgical precision - Maximum intelligence from minimal exposure
• Institutional memory - Decades of security research encoded

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