Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency

Rendering lies at the heart of our modern web experience. However, the correctness of browser rendering is not always guaranteed, often leading to rendering bugs. Traditional differential testing, while successful in various domains, falls short when applied to rendering bug detection because an HTML file is likely yield different rendered outcomes across different browsers. This paper introduces Visual Delta Consistency, a test oracle to detect rendering bugs in web browsers, aiming to make rendered pages across browsers comparable. Our key insight is that any modifications made to an HTML file should uniformly influence rendering outcomes across browsers. Specifically, when presented with two HTML files that differ only by minor modifications, the reaction of all browsers should be consistent, i.e., either all browsers render them identically or all render them differently. Based on this insight, We implemented it as a practical fuzzer named Janus. It constructs pairs of slightly modified HTML files and observes the change statuses of the corresponding rendered pages across browsers for bug detection. We evaluated it on three widely-used browsers, i.e., Chrome, Safari, and Firefox. In total, Janus detected 31 non-crash rendering bugs, out of which 24 confirmed with 8 fixed.

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Publication Details

Published
2025-04-26
DOI
https://doi.org/10.1109/icse55347.2025.00013
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency

Chijin Zhou, Yu Jiang, Quan Zhang, Bingzhou Qian
Advanced Malware Detection Techniques
article

Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency

Chijin Zhou, Yu Jiang, Quan Zhang, Bingzhou Qian
article en

Abstract

Rendering lies at the heart of our modern web experience. However, the correctness of browser rendering is not always guaranteed, often leading to rendering bugs. Traditional differential testing, while successful in various domains, falls short when applied to rendering bug detection because an HTML file is likely yield different rendered outcomes across different browsers. This paper introduces Visual Delta Consistency, a test oracle to detect rendering bugs in web browsers, aiming to make rendered pages across browsers comparable. Our key insight is that any modifications made to an HTML file should uniformly influence rendering outcomes across browsers. Specifically, when presented with two HTML files that differ only by minor modifications, the reaction of all browsers should be consistent, i.e., either all browsers render them identically or all render them differently. Based on this insight, We implemented it as a practical fuzzer named Janus. It constructs pairs of slightly modified HTML files and observes the change statuses of the corresponding rendered pages across browsers for bug detection. We evaluated it on three widely-used browsers, i.e., Chrome, Safari, and Firefox. In total, Janus detected 31 non-crash rendering bugs, out of which 24 confirmed with 8 fixed.

National University of Defense Technology (CN), Tsinghua University (CN)
Openalex Percentile: Top 83%
Advanced Malware Detection Techniques
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Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency — Chijin Zhou, Yu Jiang, et al. · (2025) | TGRS Research Map | TGRS