John Breton, AbdelRahman Abdou (Carleton University)

The link between user security and web accessibility is a new but growing field of research. To understand the potential threat landscape for users that require accessibility tools to access the web, we created the WATER framework. WATER measures websites using three security-related base accessibility metrics. Upon analyzing 30,000 websites from three distinct popularity ranges, we discovered that the risk for information leakage and phishing attacks is higher for these users. Over half of the analyzed websites had an accessibility percentage of less than 75%, a statistic that exposes these websites to potential accessibility-related lawsuits. Our data suggests that the current WCAG 2.1 standards may need to be revised to avoid assigning Level AA conformance to websites that undermine the security of users requiring accessibility tools. We make the WATER framework publicly available in the hopes it can be used for future research.

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An Chen (University of Georgia), Jiho Lee (University of Virginia), Basanta Chaulagain (University of Georgia), Yonghwi Kwon (University of Virginia), Kyu Hyung Lee (University of Georgia)

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Jaewan Seo, Jiwon Kwak, Seungjoo Kim (Korea University)

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Adithya Bhat (Purdue University), Nibesh Shrestha (Rochester Institute of Technology), Aniket Kate (Purdue University), Kartik Nayak (Duke University)

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Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

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Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)