Rideshare OSINT Car-Based SE For Fun and Profit
OSINT and social engineering via rideshare interactions—gathering intelligence and testing security through Uber and Lyft engagements.
Summary
Edward Miro discusses the unique intersection of rideshare driving and social engineering, illustrating how working as an Uber or Lyft driver serves as an exceptional training environment for honing elicitation techniques, cold reading, and collecting open-source intelligence (OSINT).
[06:32] Miro explains that the confined, semi-private atmosphere of a vehicle ride naturally lowers passenger inhibitions, creating an ideal setting for developing social engineering skills. He discusses the fundamentals of cold reading, active listening, and matching a passenger's mood and tone [17:01] to establish immediate rapport and trust.
[20:56] The talk highlights significant operational security (OPSEC) vulnerabilities observed during rideshare trips. Miro recounts how business travelers, corporate executives, and technical staff frequently discuss non-public corporate initiatives, merger activities, trade secrets, and internal organizational conflicts on speakerphone or with the driver. He stresses the critical need for employee awareness regarding physical and environmental eavesdropping, concluding with ethical considerations and guidelines for practicing interpersonal elicitation responsibly.
(AI summary — Gemini Flash)
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