5 Types Of Shoppers: And The Cyberscams They Need To Look Out For
HWM Singapore|February 2023
Big sales days like Singles' Day, Black Friday, Cyber| Monday, and 12.12 have gone by, and all offer many great opportunities for shoppers to get their fill of good deals. But these shopping days bring around their own problems. Hackers and other cyberattackers can't let the season pass by without trying some scams to steal data and more.
5 Types Of Shoppers: And The Cyberscams They Need To Look Out For

Akamai Technologies, Inc., shared five common shopper profiles observed during the year-end shopping period and the scams they should watch out for.

Dean Houari, Director of Security Technology and Strategy, APJ, Akamai said:

It is no surprise that attackers are looking to take advantage of the flurry of peak retail activity online during the extended shopping festival season since there's much to gain financially, especially in Asia, which accounts for approximately 60 percent of global ecommerce sales. It's essential that both shoppers and retailers work together to learn how to watch out for scams and protect themselves.

Houari added that the number of cyber-attacks continues to rise and mutate all the time, with 2022 seeing a sharp threefold increase in malicious bot attacks.

DO YOU FIT INTO ONE OF THESE SHOPPER PROFILES?

Be wary of saving payment details on merchant websites. While this may be convenient, it can leave data vulnerable if the merchant is breached.

01 THE PLANNER

A Planners have their presents wrapped and ready, months before the holidays or any special occasions. Making and planning purchases well ahead of time, Planners often save their credit card information, logins and other personal information on shopping sites.

Most likely to fall for: Credential Stuffing

  • During such attacks, attackers use lists of compromised user credentials to breach into a system via malicious bots, based on the assumption that many users reuse usernames and passwords across multiple services.

Tips to protect against credential stuffing:

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