UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 11 | November 2025

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Published in:

Volume 12 Issue 11
November-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2511574


Registration ID:
572278

Page Number

f448-f458

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Title

PHISH-SHIELD: A Phishing Website Detection Using Machine Learning

Abstract

Phishing attacks have become one of the most widespread cyber threats, exploiting deceptive URLs and fraudulent websites to steal personal and financial information. Although several security tools exist, most rely on static rule-based methods that fail to detect newly emerging or obfuscated phishing patterns.

Key Words

: Phish Shield, Phishing Detection, Machine Learning, URL Classification, Cybersecurity, Flask, CSV Dataset, Web Application, Real-Time Threat Analysis, Online Safety, Predictive Model, URL Pattern Recognition.

Cite This Article

"PHISH-SHIELD: A Phishing Website Detection Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.f448-f458, November-2025, Available :http://www.jetir.org/papers/JETIR2511574.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PHISH-SHIELD: A Phishing Website Detection Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppf448-f458, November-2025, Available at : http://www.jetir.org/papers/JETIR2511574.pdf

Publication Details

Published Paper ID: JETIR2511574
Registration ID: 572278
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: f448-f458
Country: Bengaluru, karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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