Scam Spotting – udublin.thinksecurityfirst.net

Welcome to Scam Spotting

It’s not a game, but spotting and stopping scams before they can hurt is a challenge and one we know that you’re up for.

And like everything else in security awareness it’s about being vigilant, slowing down long enough to spot the telltale warning signs, thinking about the context, and being cautious and skeptical.

Check out this video where our security expert explains how criminals are using AI to make so many scams and frauds even more difficult to detect.

Questions? Email us at security@udublin.edu

GET FAMILIAR WITH

Today's Most Common Scams

While new scams are always emerging, they’re usually just versions of scams that have been around for a long time.

The most important thing to remember is that AI is making every kind of scam and fraud more believable, so you need to up your vigilance too.

Zelle, Venmo, and other payments app scams that usually pose as a warning from your bank or credit union

Student loan forgiveness scams are likely to be around for a long time.

Scams that claim suspicious activity on an account a bill is overdue, or a package can't be delivered.

QR code scams will often use the lure of free gifts to trick you into visiting a website that will steal your information.

Advance fee frauds will try to trick you into sending money upfront to apply for a job, internship, research position, or grant.

An email, text message, or phone call advising you to pay an urgent ticket or fine - with a gift card.

Sextortion scams are on the rise, tricking you into sharing a revealing photo and then threatening to share it publicly if you don't pay up.

Romance and investment scams can snare anyone, and are costing victims billions of dollars every year.

Employment and paid internship scams are also on the rise, and often using University information to make them appear genuine.

Family and friend imposter scams, trying to trick you into urgently sending money, are becoming even more believable thanks to advances in AI and deep fake video and voice impersonation.

BACK