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Article . 2026 . Peer-reviewed
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Preprint . 2026
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Other literature type . 2026
License: CC BY
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Preprint . 2026
License: CC BY
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Preprint . 2026
License: CC BY
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The Invisible Window: Exploiting OS-Level Display Affinity to Bypass WebRTC Proctoring Systems

Authors: Abedini, Mohammad Raouf;

The Invisible Window: Exploiting OS-Level Display Affinity to Bypass WebRTC Proctoring Systems

Abstract

This preprint presents The Invisible Window, a security research study of a downstream display-fidelity failure in browser-based proctoring and UI-vision systems. Browser-based proctoring commonly relies on WebRTC getDisplayMedia() under the assumption that captured screen output faithfully represents the physical display. This work shows that documented operating-system display-affinity mechanisms, including Windows SetWindowDisplayAffinity and macOS NSWindow.SharingType.none, can allow visible windows to be omitted from screen-capture output.The paper frames this issue not as an Apple or Microsoft zero-day, nor as an operating-system implementation bug, but as a security-relevant downstream design vulnerability in capture-dependent systems. It presents the threat model, cross-platform proof-of-concept analysis, empirical evaluation, responsible disclosure summary, vendor boundary classification, ethical considerations, and countermeasure analysis. The findings are relevant to online assessment, academic integrity, remote proctoring, and AI-mediated UI-vision workflows. Operational abuse code is not included in this public preprint.

Related Organizations
Keywords

capture evasion, UI security, screen capture, display affinity, responsible disclosure, operating system security, AI-assisted cheating, remote proctoring, academic integrity, WebRTC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average