Check Point Email Security | Blog

The Evolution of QR Code Phishing: ASCII-Based QR Codes 

Written by Jeremy Fuchs | May 29, 2024

Quishing—QR code phishing—is a rapidly evolving threat. Starting around August, when we saw the first rapid increase, we’ve also seen a change in the type of QR code attacks. 

It started with standard MFA authentication requests. It then evolved to conditional routing and custom targeting.  

Now, we’re seeing another evolution, into the manipulation of QR codes. 

Harmony Email Researchers have uncovered a new campaign, where the QR code is not in an image, but rather created via HTML and ASCII characters. 

Harmony Email researchers have seen over 600 similar emails in the last week.

  

Email Example 

In this email, the QR Code looks like this: 

 

Notice anything different? Here’s a standard QR Code: 

 

It’s subtle. But one is an image. The other is created via HTML. And that’s where our problem begins. 

These “QR Codes” are being created with ASCII characters. The idea is to bypass OCR engines. Here’s what the HTML looks like: 

 

 

Essentially, the threat actors are putting in small blocks in the HTML. In the email, it will look like a QR code. But to a typical OCR, it doesn’t look like anything.  

There are websites that help threat actors generate these automatically, and then can still be configured to include malicious links.  

Here's another example:

Like many QR code phishing attacks, the email is around a re-authentication request. But the QR code has ASCII characters behind it, which could lead security systems to ignore it and think it’s a clean email.

Techniques 

Attack forms all evolve. QR code phishing is no different. It’s unique, though, that the evolution has happened so rapidly.  

It started off with standard MFA verification codes. These were pretty straightforward, asking users to scan a code, either to re-set MFA or even look at financial data like an annual 401k contribution.  

The second iteration, QR Code Phishing 2.0, was conditional routing attacks. The link looks for where the user is interacting with it and adjusts accordingly. If the user is on a Mac, one link appears. If the user is on an Android phone, another one pops up. We also saw custom QR Code campaigns, where hackers are dynamically populating the logo of the company and the correct username. 

Now, we’re seeing QR Code 3.0, which manifests itself as a manipulation campaign. It’s not actually a traditional QR code, but rather a text-based representation of one. This makes it incredibly difficult for OCR  systems to see it and detect it. 

It also represents how threat actors are responding to the landscape. Practically every email security vendor made a huge splash about new QR code protection (HEC has had them in place since 2019). Many use some form of OCR. Hackers know this and have adjusted their campaigns accordingly. 

It’s the never-ending cat-and-mouse game of cybersecurity. Hackers find something to exploit. Cybersecurity defenders find a solution. Hackers find something to exploit. And so on. 

It happens with every attack form, and QR codes are no different. 

Best Practices: Guidance and Recommendations 

To guard against these attacks, security professionals can do the following: 

 

  • Implement security that automatically decodes QR codes embedded in emails and analyzed the URLs for malicious content 
  • Utilize security that rewrites the embedded QR code in the email body and replaces it with a safe, re-written link 
  • Implement security that utilizes advanced AI to look at multiple indicators of phishing