Phishing Link Prevention System

Phishing attacks are a major cybersecurity threat that deceive users into revealing sensitive information such as login credentials, banking details, or personal data. The Phishing Link Prevention System is designed to detect and block malicious URLs before users can access them. This system analyzes URL features like domain structure, URL length, special characters, and HTTPS usage, combined with real-time blacklist databases and machine learning classification. Implemented as a browser extension, it offers real-time alerts and ensures a secure browsing experience by preventing access to phishing websites. This proactive tool enhances user safety by reducing the risk of identity theft, financial loss, and data breaches

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-05
DOI
https://doi.org/10.22214/ijraset.2025.73491
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Phishing Link Prevention System

J Divyalakshmi.
International Journal for Research in Applied Science and Engineering Technology
Spam and Phishing Detection
article

Phishing Link Prevention System

J Divyalakshmi.
article en

Abstract

Phishing attacks are a major cybersecurity threat that deceive users into revealing sensitive information such as login credentials, banking details, or personal data. The Phishing Link Prevention System is designed to detect and block malicious URLs before users can access them. This system analyzes URL features like domain structure, URL length, special characters, and HTTPS usage, combined with real-time blacklist databases and machine learning classification. Implemented as a browser extension, it offers real-time alerts and ensures a secure browsing experience by preventing access to phishing websites. This proactive tool enhances user safety by reducing the risk of identity theft, financial loss, and data breaches

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 71%
Spam and Phishing Detection
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