Social Engineering: Hacking Humans
summary
Lists companies hit and exact losses (Facebook $99M, Ubiquiti $39.1M, Google $23M, Toyota $37M, Crelan $75.8M, Puerto Rico $2.6M) and shows how attacks start: spear-phish invoices, QR code drop and impersonation chain that moves from HR to payroll, producing a nearly $500k diversion in Tallahassee with ~80% recovered. Demonstrates elicitation and pretexting scripts, deepfake/phone vectors, and practical mitigations: dual bank accounts, two hardware keys, risk mapping and rehearsed recovery steps that actually stop common scams.
AI-written summary · about
chapters (10)
- 0:00Social engineering risks
- 4:46Social engineering meaning
- 7:14Why people are targets
- 13:41Common attack vectors
- 16:28Gathering info and manipulation
- 21:56Psychological techniques
- 30:46Real-life attack examples
- 35:05Human weaknesses exploited
- 46:30Defending against attacks
- 54:39Summary and advice
related talks
46mSocial Engineering: Hacking Humans
58mSocial Engineering: Hacking Humans
44mHacking Humans: Social Engineering Techniques
55mHacking Humans
50mHacking Humans : Social Engineering Techniques and How to Protect Against Them
41mHacking Humans : Social Engineering Techniques and How to Protect Against Them
55mSocial Engineering Overview-How To Prevent Your Co. from Getting Hacked
51mSocial Engineering: Hacking People