
How could Twitter have stopped the attack? (Part 1)
Posted on 2020-07-21 by Matt Strahan in Business Security , Social Engineering
Last week Twitter had a successful social engineering attack that pushed through a Bitcoin scam. The scam netted about $120k for the scammers, but for Twitter it caused huge damage to their brand with the news of this attack going around the world.
Even with the greatest of anti-phishing and anti-malware security stack, social engineering attacks are extremely difficult to stop. In our social engineering exercises we may call a 5% response rate to a social engineering attack a good result, but for many organisations just having one response is a catastrophic scenario.
Many guides when they talk about social engineering talk about user training and “users being the weakest link”. While security awareness is important, the social engineers are smart. It’s almost impossible to tell the difference between what is real and what isn’t. Why are we blaming users when they’re being put in an impossible situation?