Studying the use cases of Vision AI in detecting QR Code Phishing

This paper dives into the current widespread use of QR codes in our everyday lives. QR codes have been instrumental in disseminating information in the digital age and more so in the mobile era. There are multiple use cases ranging from sharing the Local Wifi to making digital payments. As such QR Codes are short, easy to add and convenient way to collect payments, share feedback or make your favorite music player , play music. This has also lead to multiple attack paths  and has created a cybersecurity attack vector that is difficult to catch and has potential to cause disruption in our current techno-business stack. On the other hand, the exponential rise of AI use cases to solve complex problems (including its use cases in Cybersecurity domain) has been impressive. In this study we will take a closer look at QR Codes, their use cases and potential attack vectors. We will then document the use cases to use Vision AI to prevent QR code attacks especially those that are phishing related attacks.

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Publication Details

Journal
Journal of Advanced Research in Electronics Engineering and Technology
Published
2025-08-18
DOI
https://doi.org/10.24321/2456.1428.202516
Primary Topic
Marine and coastal plant biology
Type
article
Field-Weighted Citation Impact
0.00
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article

Studying the use cases of Vision AI in detecting QR Code Phishing

Journal of Advanced Research in Electronics Engineering and Technology
Marine and coastal plant biology
article

Studying the use cases of Vision AI in detecting QR Code Phishing

article en

Abstract

This paper dives into the current widespread use of QR codes in our everyday lives. QR codes have been instrumental in disseminating information in the digital age and more so in the mobile era. There are multiple use cases ranging from sharing the Local Wifi to making digital payments. As such QR Codes are short, easy to add and convenient way to collect payments, share feedback or make your favorite music player , play music. This has also lead to multiple attack paths  and has created a cybersecurity attack vector that is difficult to catch and has potential to cause disruption in our current techno-business stack. On the other hand, the exponential rise of AI use cases to solve complex problems (including its use cases in Cybersecurity domain) has been impressive. In this study we will take a closer look at QR Codes, their use cases and potential attack vectors. We will then document the use cases to use Vision AI to prevent QR code attacks especially those that are phishing related attacks.

Journal of Advanced Research in Electronics Engineering and TechnologyVol. 12(1&2)
Centre for Aromatic Plants (IN)
Reduced inequalities
Openalex Percentile: Top 40%
Marine and coastal plant biology
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