PhishGuard – AI Phishing Email & URL Detector

Authors

  • Dr. SRINIVASARAO PALLAPU Author
  • PALAMARRI MOUNIKA Author
  • PALAMARRI MOUNIKA Author
  • AKULA VISHANVI Author
  • PAMULA RISHITHA Author

DOI:

https://doi.org/10.64751/ijdim.2025.v4.n3.pp386-392

Keywords:

Phishing Detection ,Artificial Intelligence (AI) ,Machine Learning, Cybersecurity ,Email Security ,URL Analysis ,Threat IntelligenceReal-Time Detection, Flask Framework ,ReactJS Frontend, Data Visualization, Natural Language Processing (NLP),Feature Extraction ,Web Security, Deep Learning

Abstract

phishguard ai phishing email URL detector is a state-of-the-art cybersecurity solution designed to instantly detect and thwart phishing attacks using machine learning ml and natural language processing(NLP)techniques [1],[3],[4]. It analyzes emails and urls for evidence of malicious behavior by evaluating sender reputation url encoding,embedded link destinations and the content of the email[5]. Phishguard can readily differentiate between authentic and deceptive messages by virtue of operating on an adaptive learning model the technology achieves higher accuracy through the new data it receives and the evolving landscape of modern phishing threats[4],[6]. Phishguard integrates seamlessly with leading email products and web browsers providing immediate alerts and risk scores to the user[7],[8].This AI-based technology is built to reduce human intervention and improve protection against credential harvesting data breaches and socially engineered conflicts phishguard provides a powerful scalable and automated response to protect users against ever-evolving phishing attacks.

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Published

2025-08-26

How to Cite

Dr. SRINIVASARAO PALLAPU, PALAMARRI MOUNIKA, PALAMARRI MOUNIKA, AKULA VISHANVI, & PAMULA RISHITHA. (2025). PhishGuard – AI Phishing Email & URL Detector. International Journal of Data Science and IoT Management System, 4(3), 386-392. https://doi.org/10.64751/ijdim.2025.v4.n3.pp386-392

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