Quishing in the Wild: A Lightweight Dual-Layer Detection Framework for QR Code-Based Phishing Attacks in Mobile-First Environments

This is an extended abstract presenting the conceptual framework and proposed methodology for the Dual-Layer Quishing Detection Framework (DLQDF). The architecture, detection pipeline, and theoretical foundations are described in full. Empirical evaluation and experimental results are ongoing and will be reported in the full paper submission

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20266699
Primary Topic
Spam and Phishing Detection
Type
preprint
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preprint

Quishing in the Wild: A Lightweight Dual-Layer Detection Framework for QR Code-Based Phishing Attacks in Mobile-First Environments

Arnika Madushani Rangalla
Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
preprint

Quishing in the Wild: A Lightweight Dual-Layer Detection Framework for QR Code-Based Phishing Attacks in Mobile-First Environments

Arnika Madushani Rangalla
preprint en

Abstract

This is an extended abstract presenting the conceptual framework and proposed methodology for the Dual-Layer Quishing Detection Framework (DLQDF). The architecture, detection pipeline, and theoretical foundations are described in full. Empirical evaluation and experimental results are ongoing and will be reported in the full paper submission

Zenodo (CERN European Organization for Nuclear Research)
Lincoln University College (MY)
Spam and Phishing Detection
DOIOpen Access PDFOpenAlex
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Quishing in the Wild: A Lightweight Dual-Layer Detection Framework for QR Code-Based Phishing Attacks in Mobile-First Environments — Arnika Madushani Rangalla · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS