Phishing Analysis research — Page 3

177 papers · Investigation type

Continuation of the Phishing Analysis collection. See the first page for its scope and research guidance.

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Bibliography

Showing 101–150 of 177 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats
Gaddam Lakshmi; Perumalla Swetha (2026) · Scientific Reports
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Online Fraud and Legal Protection in India
Vaibhavi. M; Venkanna Gowda; Trupti.R; Vanaja. D; Dr. D.Sujitha (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Online Security Behaviors as Predictors of Susceptibility to Simulated Phishing Attacks: A Quantitative Study among Computer Studies Students at Quezon City University
Meryl P. Alcantra; Harold R. Lucero; Angelo S. Cambe; Lawrence T. Savariz; Marx Elis M. Suarez; Matt Henry D. Buenaventura (2026) · International Journal of Latest Technology in Engineering Management & Applied Science
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Optimization-Driven Multi-Domain Hybrid Framework for Phishing Detection Across URL, Network, and Email Layers Using Deep Learning and Heuristic Intelligence
ASHVINI JADHAV; pankaj chandre (2026) · Springer Science and Business Media LLC
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Optimized BiLSTM-Based Phishing Detection System Using Attention Mechanism for Large-Scale Data Classification
Rohita Yamaganti; Naga Siva Jyothi Kompali; M.Dhanaraju; N.Thanmai; K.Sai Varshith; R.Shivani (2026) · International Journal of Engineering Research and Science & Technology
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Penipuan Investasi Saham dan Kripto Berbasis Phishing: Studi Kasus Platform JYPRX, SYIPC, dan LEEDXS
Dara Durotul Afifah; Deriza Sultan; Syfa Putri Irmala; Clarinta Alda Fuadiyah; Rudi Nopiansyah; Antonino Pedro Marsal (2026) · Hukum Dan Dinamika Masyarakat
Collection: ALEX regular weekly discovery review queue
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Peran Korban dalam Tindak Pidana Penipuan Transaksi Elektronik: Perspektif Cyber Victimology
Maria Hera Agathea Manik; Andita Amelia; Akilah Putri Ibrahim; Muhammad Arsya Zaky; Fathia Aisya Zahra (2026) · Jurnal Kajian Hukum Dan Kebijakan Publik | E-ISSN 3031-8882
Collection: ALEX regular weekly discovery review queue
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PHIKIT A PHISHING KIT ATTACKS DATASET FOR PHISHING WEBSITES IDENTIFICATION FELIPE
Mr.P.Premchand; Vudela Manvitha; Kotaru Anusha Rani; Konakanchi Gopi; Avvaru Naveen kumar (2026) · American Journal of AI Cyber Computing Management
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PhishBD_2026
Abrity Paul Chowdhury; Mohammad Masudur Rahman Khan; Fernaz Nur (2026) · Mendeley Data
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PhishGuard Lite: A Lightweight Hybrid Explainable Phishing Detection System Using Rule Based Analysis and Machine Learning
Bright Duffour; Alberta Ayitey (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Phishing Detection Using Behavioral Cues in Browser Interaction
Shanmathi k; Latha Dr. S (2026) · Indian Journal of Computer Science and Technology
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Phishing linguistics: a functional and stylistic analysis of phishing emails
E. V. Avdosenko; G. A. Ageeva; P. V. Yan’kova (2026) · Key Issues of Contemporary Linguistics
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Phishing URL Classification in Cybersecurity Education: A Comparative Study of RF, SVM, DT, and LR
Abdullah Feraih Alenezi; Mohammed Alenezi (2026) · Information
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PhishSigma++: Malicious Email Detection with Typed Entity Relations
Shang Shang; Ruiqi Wang; Ruijie Qi; Hao Li; Yingxiao Xiang; Yepeng Yao; Zhengwei Jiang (2026) · ArXiv.org
Collection: ALEX regular weekly discovery review queue
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PhishTrap X: An AI-Driven Multi-Layer Phishing Detection Framework Using Threat Intelligence and Machine Learning
Nisha Asabe, Adesh Phadke, Shreya Adhate, Pradnya Kasture (2026) · International Journal of Advanced Research in Science Communication and Technology
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PhishViT: A Vision Transformer-Based Framework for Phishing Detection from Webpage Screenshots
Jean Chrysostome Ndayisabye (2026) · Springer Science and Business Media LLC
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Predicting Cybermindfulness with the Cyber-Health Belief Model
James Robinson; Yan Tian; Thomas Skill (2026) · Journal of Cybersecurity Education, Research and Practice
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Quantitative Study on the Influence of AI Generated Content on Youth Involvement in Online Fraud
R N Mangoli; Asma Dadibai; Ganesh Navi (2026) · International Journal of Science and Research (IJSR)
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Real-Time Phishing Website Detection Using Machine Learning Techniques
Om Sudhakar Chaudhari (2026) · International Journal for Research in Applied Science and Engineering Technology
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Runtime Phishing URL Detection Using Heuristics And Machine Learning
Md. Aminul Hoque Shamim (2026) · International Journal of Computer Applications
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Safe-Surf: An Integrated Multi-Layer Cybersecurity Intelligence Architecture for Real-Time Phishing Detection and AI-Augmented Threat Analysis
Chetan Sharma; Lakshya Sharma; Dr. Shiksha Kumari (2026) · Zenodo (CERN European Organization for Nuclear Research)
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SmartShield NLP: Context-Aware Threat Severity Prediction System
Harsh Sadariya; Mohit Bhadla (2026) · International Journal on Science and Technology
Collection: ALEX regular weekly discovery review queue
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Smishing risk assessment using RAG and its potential for pedagogical recontextualization for cybersecurity education
Daiga Kalniņa; Edgaras Norgaila; Linda Daniela (2026) · Social Sciences & Humanities Open
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SNITCH: Smart Network-based Intelligent Threat Classifier for Phishing Detection using SVM Active Learning
N.KANAGADURGA N.KANAGADURGA; S.K. JAYA PRASATH S.K. JAYA PRASATH; A. PONEY JOSHWAA A. PONEY JOSHWAA; M. DHAYANITHISELVAN M. DHAYANITHISELVAN (2026) · International Journal of Creative and Open Research in Engineering and Management
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The human firewall effect training and awareness as drivers of phishing mitigation and reporting behavior
Omar Osman Haji Abdi; Ali Abdi Jama; Abdirahman Ibrahim Abdi (2026) · Frontiers in Computer Science
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The Misuse of Social Media as a Means of Electronic Transactions in the Ambon Class I Type a Navigation District
Rusly Karim; D. J. A. Hehanussa; Elsa R. M. Toule (2026) · Journal Of World Science
Collection: ALEX regular weekly discovery review queue
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The Psychological Profile of Cybercrime Victims: Vulnerability Factors and Implications for Prevention
Mihaela Rus (2026) · Proceedings of The World Conference on Research in Social Sciences
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Towards improved Phishing website detection: heuristic-based approaches vs. Machine Learning
Dmytro Shutenko; Anwar Hasan; Serhii Buchyk; Ruslana Ziubina (2026) · International Journal of Electronics and Telecommunications
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Trustworthy Phishing URL Detection Using Machine Learning: Performance Analysis and Future Directions
Omar Almomani; Ahmad Shalaldeh; Mohammed Amin Almaiah; Ahmad Saleh Ali Shatat; Mohammed Madi; Mutasem K. Alsmadi; Ibrahim Mohammed Dweib (2026) · International Journal of Advances in Soft Computing and its Applications
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Unraveling Phishing Attacks and Countermeasures: A Comprehensive Review
Ali Raheem Al-Hafiz; Adnan J. Jabir (2026) · Iraqi Journal for Electrical and Electronic Engineering
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Why Every City Needs an AI Scam Shield
Rohit Rajdev (2026) · Iconic Research and Engineering Journals
Collection: ALEX regular weekly discovery review queue
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Сравнительный анализ эффективности методов обнаружения фишинговых ресурсов на основе анализа URL и контента веб-страниц
Н.В. Кушнир; А.В. Власенко; А.Р. Анисимова; М.В. Боярко; Г.В. Ведерников (2026) · Вестник Адыгейского государственного университета, серия «Естественно-математические и технические науки»
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“Account suspension. Verify now”: using systemic-functional linguistics to improve phishing text advisories for vulnerable groups
Desiree Kawabata (2026) · Humanities and Social Sciences Communications
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Short Path to Phishing: Identifying Misused URL Shortening Services in the Wild
Zul Odgerel; Yevheniya Nosyk; Jan Bayer; Sourena Maroofi; Louis Bedeschi; Andrzej Duda; Maciej Korczyński (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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“Send to which account?” Evaluation of an LLM-based Scambaiting System
Hossein Siadati; Haadi Jafarian; Sima Jafarikhah (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Hey Google Remind me to be Phished Exploiting the Notifications of the Google AI Assistant on Android for Social Engineering Attacks
Marie Weinz; Saskia Laura Schröer; Giovanni Apruzzese (2024) · 2024 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Multimodal Large Language Models for Phishing Webpage Detection and Identification
Jehyun Lee; Peiyuan Lim; Bryan Hooi; Dinil Mon Divakaran (2024) · 2024 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Building a Resilient Domain Whitelist to Enhance Phishing Blocklist Accuracy
Jan Bayer; Sourena Maroofi; Olivier Hureau; Andrzej Duda; Maciej Korczynski (2023) · 2023 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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“Do Users Fall for Real Adversarial Phishing?” Investigating the Human Response to Evasive Webpages
Ajka Draganovic; Savino Dambra; Javier Aldana Iuit; Kevin Roundy; Giovanni Apruzzese (2023) · 2023 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Leaky Kits: The Increased Risk of Data Exposure from Phishing Kits
Bhaskar Tejaswi; Nayanamana Samarasinghe; Sajjad Pourali; Mohammad Mannan; Amr Youssef (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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The Role of Extraversion in Phishing Victimisation: A Systematic Literature Review
Pablo López-Aguilar; Constantinos Patsakis; Agusti Solanas (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Evaluating the Effectiveness of Phishing Reports on Twitter
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Sayak Saha Roy; Unique Karanjit; Shirin Nilizadeh (2021) · 2021 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
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Author metadata incomplete (2021) · ACM Digital Library
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When Diversity Meets Hostility: A Study of Domain Squatting Abuse in Online Banking
5+
Neeraj Kumar; Sukhada Ghewari; Harshal Tupsamudre; Manish Shukla; Sachin Lodha (2021) · 2021 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Phishing With A Darknet: Imitation of Onion Services
5+
Frederick Barr-Smith; Joss Wright (2020) · 2020 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Scam Pandemic: How Attackers Exploit Public Fear through Phishing
5+
Marzieh Bitaab; Haehyun Cho; Adam Oest; Penghui Zhang; Zhibo Sun; Rana Pourmohamad; Doowon Kim; Tiffany Bao; Ruoyu Wang; Yan Shoshitaishvili; Adam Doupe; Gail-Joon Ahn (2020) · 2020 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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SemanticPhish: A Semantic-based Scanning System for Early Detection of Phishing Attacks
5+
Qian Cui; Guy-Vincent Jourdan; Gregor v. Bochmann; Iosif-Viorel Onut (2020) · 2020 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Ten years of attacks on companies using visual impersonation of domain names
5+
Geoffrey Simpson; Tyler Moore; Richard Clayton (2020) · 2020 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A hybrid KRR-ML approach to predict malicious email campaigns
5+
Author metadata incomplete (2019) · IEEE
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A meta-analysis of field experiments on phishing susceptibility
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Teodor Sommestad; Henrik Karlzén (2019) · 2019 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Cybercrime & Fraud · Research category
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