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Twitter (X) Strategic OSINT Techniques

  • The article discusses the evolving landscape of open source intelligence (OSINT) on Twitter, now rebranded as X, under Elon Musk's ownership.
  • The platform's changes have posed challenges for digital investigators who relied on third-party tools and APIs for data access.
  • With API restrictions, traditional OSINT tools like Twint and GetOldTweets3 are now less effective, requiring a shift in investigative methodologies.
  • Understanding the new Twitter landscape is crucial, as the platform's monetization model has created different user classes with various capabilities.
  • The removal of legacy verification badges and the introduction of paid verification have impacted source credibility assessment.
  • Effective Twitter OSINT involves crafting precise search queries using advanced search operators like from, to, near, filter, and hashtags.
  • In profile analysis, investigators can derive valuable intelligence from account creation patterns, username evolution, profile image analysis, and temporal behavioral fingerprinting.
  • Relationship intelligence on Twitter involves analyzing early followers, mutual connections, reply chain forensics, and systematic documentation for intelligence development.
  • Successful investigations establish behavioral baselines, employ multi-vector correlation analysis, and utilize predictive behavior modeling to anticipate future activities.
  • Modern Twitter OSINT demands cross-platform correlation skills and systematic investigation techniques to navigate the platform's evolving constraints.

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