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OSINT. Inteligencia de fuentes abiertas: GuÃa Académica Completa - Tomo I
Paperback
Series: Ciberseguridad Practica, Book 1
General ComputersComputer Security
Publisher: Independently Published
Published: Apr 23 2026
Pages: 118
Weight: 0.88
Height: 0.31 Width: 8.50 Depth: 11.00
Language: Spanish
SabÃas que más del 80% de la inteligencia estratégica de valor real se obtiene de fuentes completamente públicas y legales? La disciplina conocida como OSINT -Open Source Intelligence, Inteligencia de Fuentes Abiertas- ha pasado de ser una capacidad exclusiva de agencias gubernamentales a convertirse en la competencia más demandada del panorama actual de ciberseguridad, periodismo de investigación, inteligencia corporativa y análisis de riesgos. Este libro te enseña a practicarla con rigor profesional, metodologÃa verificada y herramientas reales.
La guÃa académica de referencia más completa en castellano sobre OSINT.
Estructurada en 20 módulos organizados en dos tomos, esta obra cubre Ãntegramente el ecosistema de la inteligencia de fuentes abiertas: desde los fundamentos conceptuales y el marco legal europeo aplicable (RGPD, LOPDGDD, Código Penal) hasta las técnicas más avanzadas de automatización, análisis de grafos y contrainteligencia personal. Cada módulo combina teorÃa rigurosa, código ejecutable real, tablas de referencia, casos documentados y ejercicios prácticos integradores que convierten el aprendizaje en habilidad efectiva.
Lo que aprenderás en el Tomo I:
Dominarás el ciclo de inteligencia de 6 fases y las bases legales de la investigación con fuentes abiertas. Aprenderás a construir Google Dorks avanzados para localizar documentos expuestos, paneles de administración vulnerables y credenciales filtradas en sitios públicos. Usarás Yandex Images para reconocimiento facial, TinEye para datación de imágenes y ExifTool para extraer coordenadas GPS de fotografÃas -exactamente como fue localizado John McAfee en 2012. Aplicarás shadowcasting con SunCalc para determinar la fecha y hora de captura de una imagen analizando el ángulo de sus sombras, la misma técnica que usa Bellingcat para verificar vÃdeos de conflictos. Mapearás la presencia digital de personas y organizaciones con Sherlock, Hunter.io, HIBP y los registros públicos españoles. Descubrirás subdominios, tecnologÃas y servicios expuestos con crt.sh, BuiltWith y Shodan.
Lo que aprenderás en el Tomo II:
Profundizarás en el ecosistema de filtraciones de datos: desde las megabrechas históricas (Yahoo, LinkedIn, Collection #1) hasta el funcionamiento real del mercado underground de credenciales, con precios documentados y operaciones policiales internacionales como la Operación Cookie Monster (119 detenidos en 2023). Realizarás due diligence corporativo avanzado combinando el BORME, OpenCorporates y análisis financiero con Python. Aplicarás la metodologÃa documentada de Bellingcat para verificar vÃdeos y detectar deepfakes. Mapearás redes de canales de Telegram con TGStat API. Trabajarás con inteligencia de amenazas en dark web siguiendo protocolos de OPSEC profesionales. Automatizarás investigaciones completas con Maltego, SpiderFoot, theHarvester y Recon-ng. Construirás grafos de relaciones con NetworkX y Gephi para detectar fraude corporativo.
Para quién es esta obra:
Analistas de ciberseguridad, periodistas de investigación, investigadores privados habilitados, consultores de riesgo, académicos, estudiantes de criminologÃa y seguridad informática, y cualquier profesional que necesite encontrar información verificable de forma sistemática, eficiente y éticamente sólida.
CaracterÃsticas de la edición:
Más de 450 páginas con más de 80 ejercicios prácticos, 60 fichas de herramientas, glosario de 200+ términos, bibliografÃa académica anotada, matrices de referencia rápida y plantillas de informe profesional listas para usar. Código Python verificado y ejecutable para automatización de investigaciones.
Todo el contenido técnico ha sido contrastado con fuentes primarias verificadas: informes de Europol, CISA, Mandiant, Bellingcat, OCCRP, la AEPD y el TJUE.
Aprende a ver lo que otros
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