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.

View More Papers

VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests

Scott Jordan (University of California, Irvine), Yoshimichi Nakatsuka (University of California, Irvine), Ercan Ozturk (University of California, Irvine), Andrew Paverd (Microsoft Research), Gene Tsudik (University of California, Irvine)

Read More

An Analysis of First-Party Cookie Exfiltration due to CNAME...

Tongwei Ren (Worcester Polytechnic Institute), Alexander Wittmany (University of Kansas), Lorenzo De Carli (Worcester Polytechnic Institute), Drew Davidsony (University of Kansas)

Read More

MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags

Xingyu Chen (University of Colorado Denver), Zhengxiong Li (University of Colorado Denver), Baicheng Chen (University of California San Diego), Yi Zhu (SUNY at Buffalo), Chris Xiaoxuan Lu (University of Edinburgh), Zhengyu Peng (Aptiv), Feng Lin (Zhejiang University), Wenyao Xu (SUNY Buffalo), Kui Ren (Zhejiang University), Chunming Qiao (SUNY at Buffalo)

Read More

BinaryInferno: A Semantic-Driven Approach to Field Inference for Binary...

Jared Chandler (Tufts University), Adam Wick (Fastly), Kathleen Fisher (DARPA)

Read More