Scan With Caution: Quishing Scams Are on the Rise

What Is ‘Quishing’? The QR Code Scam Hiding in Plain Sight

Scanning a QR code at a restaurant, parking meter, or doctor’s office feels second nature — but cybersecurity experts warn that convenience may be opening the door to a fast-growing scam known as “quishing.” Short for QR phishing, quishing uses malicious QR codes to send unsuspecting users to fake websites designed to steal personal or financial information.

How Quishing Works
Unlike traditional phishing emails, quishing attacks happen in the physical world. Scammers can print their own QR codes and place them over legitimate ones on menus, posters, payment kiosks, or flyers. Once scanned, the code can direct users to a site that looks real but is designed to harvest passwords, credit card numbers, or login credentials.

Cybersecurity experts warn that these scams are especially hard to detect because QR codes all look the same. A fake code pasted over a real one is nearly impossible to spot at a glance.

Why Everyone Is at Risk
While older adults may be vulnerable due to familiarity with traditional phishing scams, younger, tech-savvy users are also at high risk. Millennials and Gen Z consumers scan QR codes frequently and often without hesitation, assuming they’re safe because they appear in trusted locations like restaurants or hotels.

Officials at IBM warn that QR codes were designed for convenience — not security — making them attractive tools for scammers. The Federal Trade Commission has also reported an increase in QR-based fraud complaints.

How to Protect Yourself
Experts recommend checking for physical signs of tampering before scanning any QR code in public. Be cautious of unsolicited QR requests, especially those asking for login details or payment information. When possible, use official apps or manually type in known web addresses instead of relying on QR links.

As one cybersecurity researcher put it, quishing isn’t about panic — it’s about awareness. A moment of caution can prevent a costly digital mistake.