1. Introduce OSINT – Explain what OSINT stands for (Open-Source Intelligence) and its importance as a collection method that can be used by researchers, investigators, and intelligence analysts to identify and compile useful information from publicly available sources such as the internet, databases, news articles, and other open sources.
2. Explain What Is Included In OSINT – Explain what type of information is included in OSINT, such as text, pictures, videos, social media posts, and documents. Further, discuss how OSINT can be used to identify trends, detect vulnerabilities, search for information related to a particular topic, and collect social media data.
3. Use Cases For OSINT – Discuss use cases for OSINT and how it can be used in threat intelligence, for competitive analysis, for investigations, for security operations, and for understanding the public opinion about certain topics.
4. Privacy Considerations for Using OSINT – Explain why it is important to consider privacy and legal implications when collecting and using open-source data. Explain different ways data can be collected ethically and comply with legal requirements, such as consent, deletion of personally identifiable information, and the use of secure databases.
5. OSINT Resources – Introduce various OSINT resources such as web browsers, search engines, databases, archives, discussion boards and forums, social media sites, and podcasts that can be used as open-source data sources. Explain how these resources can be used to find data that is not available on the web.
6. Techniques for Collecting OSINT – Provide a brief overview of techniques for collecting OSINT, such as scraping, reverse image search, social media tracking, and automated data collection.
7. Analyzing and Presenting OSINT Data – Explain how to process, analyze, and present OSINT data, such as using tools to extract and analyze data, data visualization techniques to represent data, and summarizing the findings.