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The OSINT (Open-Source Intelligence) Handbook: Mastering Open-Source Intelligence
Over 2 million learners across the globe

The OSINT (Open-Source Intelligence) Handbook: Mastering Open-Source Intelligence

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Master the full spectrum of open-source intelligence — from advanced search techniques and social media analysis to dark web monitoring and geospatial verification. This comprehensive handbook equips analysts, investigators, and security professionals with battle-tested OSINT methods used by government agencies and private sector teams worldwide. Turn publicly available data into actionable intelligence.

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What you will learn:

  • Apply advanced Google dorking and multi-engine search techniques to surface hidden information.

  • Build comprehensive subject profiles using public records, email pivots, and data aggregators.

  • Conduct geolocation analysis and extract forensic metadata from images and video content.

  • Navigate the dark web safely while maintaining strict operational security and analyst anonymity.

  • Detect disinformation campaigns and verify contested claims using open-source fact-checking workflows.

  • Design automated OSINT collection pipelines using Python scripting and API integrations.

How you study practically The OSINT (Open-Source Intelligence) Handbook: Mastering Open-Source Intelligence

How you practise The OSINT (Open-Source Intelligence) Handbook: Mastering Open-Source Intelligence

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Open-Source Intelligence

  • Lesson 1 • Defining OSINT and Its Scope

    Covers the formal definition of OSINT, its distinction from other intelligence disciplines, and the types of open sources available. Anchors all subsequent techniques to a shared vocabulary.

  • Lesson 2 • History and Evolution of OSINT

    Traces OSINT from Cold War media monitoring to modern digital collection. Provides historical context that explains current methodologies and tool design.

  • Lesson 3 • The OSINT Analyst Mindset

    Develops critical thinking habits, source scepticism, and structured analytical reasoning essential for OSINT work. Connects cognitive discipline to accurate, defensible intelligence products.

  • Lesson 4 • Building a Secure Research Environment

    Introduces operational security principles for protecting analyst identity and research integrity from the outset. Establishes safe practices before any active collection begins.

  • Lesson 5 • Legal and Ethical Frameworks

    Examines privacy law principles, data protection regulations, and ethical boundaries governing OSINT collection. Ensures practitioners operate within lawful and professional standards.

Chapter 2See details

Search Engine Mastery for OSINT

  • Lesson 1 • Alternative Search Engines and Aggregators

    Surveys Bing, DuckDuckGo, Yandex, Baidu, and meta-search aggregators for coverage beyond Google. Diversifying search engines reduces blind spots in collection.

  • Lesson 2 • Google Dorking Techniques

    Applies specialised operator combinations to uncover exposed documents, login pages, and sensitive data indexed unintentionally. Directly supports vulnerability research and competitive intelligence.

  • Lesson 3 • Search Engine Architecture and Indexing

    Explains how crawlers, indexes, and ranking algorithms determine what is findable. Understanding indexing mechanics enables analysts to predict and exploit search engine behaviour.

  • Lesson 4 • Automating and Documenting Searches

    Introduces search automation scripts, query logging, and result archiving for repeatable, auditable research. Automation scales collection while maintaining evidentiary integrity.

  • Lesson 5 • Advanced Search Operators

    Teaches Boolean logic, site-specific operators, file-type filters, and date-range constraints for precision querying. These operators form the core toolkit for all web-based OSINT collection.

Chapter 3See details

Social Media Intelligence Collection

  • Lesson 1 • Social Media as an Intelligence Source

    Maps the intelligence value of major platforms, their data structures, and the behavioural patterns users exhibit. Establishes why social media is a primary OSINT collection environment.

  • Lesson 2 • Platform-Specific Collection Techniques

    Delivers hands-on collection methods for major platforms including Twitter/X, Facebook, Instagram, LinkedIn, and TikTok. Each platform's unique data exposure points are systematically exploited.

  • Lesson 3 • Preserving and Verifying Social Media Evidence

    Covers screenshot tools, metadata preservation, and chain-of-custody documentation for social media artefacts. Proper preservation ensures evidence remains admissible and defensible.

  • Lesson 4 • Monitoring and Alerting Workflows

    Establishes continuous monitoring pipelines using keyword alerts, RSS feeds, and social listening tools. Persistent monitoring converts one-time collection into ongoing intelligence streams.

  • Lesson 5 • Account Analysis and Attribution

    Teaches methods for profiling accounts, identifying real identities behind pseudonyms, and detecting inauthentic behaviour. Attribution skills connect online personas to real-world subjects.

Chapter 4See details

People and Entity Research Techniques

  • Lesson 1 • Corporate and Organisational Profiling

    Maps corporate structures, beneficial ownership, subsidiaries, and key personnel using regulatory filings and open databases. Organisational profiling reveals hidden relationships and risk indicators.

  • Lesson 2 • Email and Username Investigation

    Teaches reverse email lookup, username enumeration across platforms, and breach data correlation to expand subject profiles. Email and usernames are high-value pivot points in people research.

  • Lesson 3 • Synthesising Subject Profiles

    Integrates data from multiple sources into a structured, verified subject profile with confidence ratings. Profile synthesis is the deliverable that converts raw collection into actionable intelligence.

  • Lesson 4 • Phone Number and Address Research

    Covers reverse phone lookup, carrier identification, address history tracing, and geolocation from contact data. Contact data anchors digital identities to physical locations.

  • Lesson 5 • Public Records and Data Aggregators

    Surveys government public records, court filings, property records, and commercial data aggregators as primary people-research sources. Understanding record types determines which sources to query first.

Chapter 5See details

Geospatial and Image Intelligence

  • Lesson 1 • Satellite and Aerial Imagery Analysis

    Teaches use of satellite imagery platforms to monitor facilities, track changes over time, and corroborate ground-level reporting. Satellite imagery provides independent verification of physical events.

  • Lesson 2 • Video Intelligence Analysis

    Applies frame-by-frame analysis, audio cue extraction, and background detail examination to video content. Video analysis extends geolocation and verification skills to moving-image sources.

  • Lesson 3 • Geolocation Fundamentals

    Introduces coordinate systems, mapping platforms, and landmark-based geolocation techniques for placing images and events in physical space. Geolocation underpins verification of visual claims.

  • Lesson 4 • Mapping and Visualisation Tools

    Covers GIS platforms, custom map creation, and geospatial data visualisation for communicating location-based findings. Effective mapping transforms raw coordinates into comprehensible intelligence products.

  • Lesson 5 • Image Metadata and Forensics

    Extracts EXIF data, GPS coordinates, device fingerprints, and manipulation indicators from digital images. Metadata forensics reveals provenance and authenticity of visual evidence.

Chapter 6See details

Technical OSINT: Networks, Domains, and Code

  • Lesson 1 • Shodan and Internet-of-Things Intelligence

    Uses Shodan and similar scanning platforms to identify exposed devices, services, and vulnerabilities across the internet. IoT intelligence reveals attack surface and operational security failures of target organisations.

  • Lesson 2 • SSL/TLS Certificate Intelligence

    Extracts intelligence from certificate transparency logs, certificate metadata, and issuer relationships to map infrastructure. Certificate data exposes subdomains and organisational relationships not visible in DNS.

  • Lesson 3 • Code Repository and Paste Site Analysis

    Mines GitHub, GitLab, and paste sites for exposed credentials, internal documentation, and developer attribution data. Code repositories are frequently overlooked sources of high-value intelligence.

  • Lesson 4 • IP Address and Network Analysis

    Teaches IP geolocation, ASN mapping, BGP routing analysis, and network block ownership identification. Network analysis connects infrastructure to organisations and geographic locations.

  • Lesson 5 • Domain and DNS Intelligence

    Covers WHOIS records, DNS enumeration, passive DNS, and historical registration data for mapping domain infrastructure. Domain intelligence reveals ownership, hosting relationships, and operational patterns.

Chapter 7See details

Dark Web and Deep Web Intelligence

  • Lesson 1 • Deep Web vs. Dark Web Defined

    Clarifies the distinction between the deep web, dark web, and surface web, and identifies the intelligence value of each layer. Accurate terminology prevents operational and analytical errors.

  • Lesson 2 • Operational Security for Dark Web Research

    Applies advanced OPSEC measures including air-gapped systems, dedicated hardware, and traffic isolation for dark web operations. Elevated OPSEC protects both the analyst and the investigation.

  • Lesson 3 • Dark Web Marketplace and Forum Monitoring

    Covers systematic monitoring of dark web markets, forums, and paste sites for threat intelligence and illicit activity indicators. Forum monitoring surfaces early warning signals unavailable on the surface web.

  • Lesson 4 • Credential and Data Leak Intelligence

    Teaches identification and analysis of leaked credentials, databases, and sensitive documents circulating on dark web sources. Leak intelligence directly supports threat assessment and incident response.

  • Lesson 5 • Tor Network and Onion Services

    Explains Tor architecture, onion routing, and safe browser configuration for accessing hidden services. Proper Tor setup is the prerequisite for all dark web collection activities.

Chapter 8See details

Intelligence Analysis and Reporting

  • Lesson 1 • Data Visualisation for Intelligence

    Covers link charts, timelines, heat maps, and network graphs for communicating complex relationships visually. Visualisation accelerates decision-maker comprehension of dense analytical findings.

  • Lesson 2 • Managing the Intelligence Cycle

    Applies the full intelligence cycle—direction, collection, processing, analysis, dissemination—to OSINT workflows. Cycle management ensures collection remains tasked, timely, and aligned with consumer needs.

  • Lesson 3 • Analytic Frameworks for OSINT

    Applies structured analytic techniques including ACH, link analysis, and timeline reconstruction to OSINT data. Frameworks impose rigour and reduce bias in the transition from data to conclusions.

  • Lesson 4 • Writing Finished Intelligence Products

    Develops skills for writing intelligence assessments, situation reports, and executive summaries in professional formats. Clear, concise writing ensures findings are acted upon by non-analyst audiences.

  • Lesson 5 • Source Evaluation and Reliability Scoring

    Teaches the NATO admiralty system and custom reliability matrices for rating sources and information quality. Consistent source evaluation prevents low-quality data from corrupting finished products.

Certification

Your valid completion certificate

This course is for you:

  • Cybersecurity analysts: wanting to add structured intelligence collection to their skill set.

  • Private investigators: looking to modernise research methods with digital open-source tools.

  • Journalists and researchers: needing systematic verification techniques for investigative work.

  • Corporate risk professionals: tasked with monitoring threats and profiling third-party entities.

  • Military veterans: transitioning into civilian intelligence or security analyst career roles.

  • Curious self-taught researchers: ready to formalise instincts into a repeatable professional methodology.

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