AI Scam Warnings Issued Ahead of Chuseok
AI TIMES ·
✦ AI Summary
According to AI TIMES, ESTsecurity said on September 22 that it had unveiled four major types of holiday scams exploiting AI ahead of the Ch…
According to AI TIMES, ESTsecurity said on September 22 that it had unveiled four major types of holiday scams exploiting AI ahead of the Chuseok holiday, and warned that verifying identities by voice or video call alone is no longer enough to feel safe. The key tactics include deep voice and deepfake scams that mimic acquaintances with just a few seconds of audio, customized phishing written in natural-sounding sentences, account theft attacks targeting multiple accounts at once, and sophisticated impersonation combined with leaked information. These methods undermine existing judgment standards by striking at the moment victims believe they have directly confirmed the other party's identity. In particular, any contact asking for money urgently or prompting an app installation should be questioned again. The company said it is necessary to prearrange family-only verification methods and to go through a second check using a contact number people already know. It also emphasized that preventive steps before the holiday, such as blocking installations of apps from unclear sources and checking for data leaks and passwords, should be taken quickly.
Perspective
The significance of this warning is that the standards for spotting scams are being undermined by technological change. Until now, people have relied on awkward sentences or unfamiliar voices as clues, but even those instincts may now be shaken. In the end, the response will shift toward making prearranged verification procedures and account management more important than individual intuition. During busy contact periods such as holidays, the habit of putting verification ahead of convenience can be the key to reducing losses.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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