IS IT PHISHING OR NOT? A SURVEY ON PHISHING WEBWEBSITE DETECTION

Abstract

Phishing is a determined and fruitful security issue that compromises people and designated brands, underlining the need for compelling detection and insurance. Complete Detection Techniques Review: Phishing webwebsite detection will be totally evaluated in the review. It looks to make sense of recognition strategies and their viability. A thorough assessment of rundown based, comparability based, and ML-based detection methods is finished. It additionally looks at the datasets used to evaluate different procedures, uncovering their assets and shortcomings. The venture features phishing webwebsite detection research holes that need more review and improvement to further develop detection strategies. The undertaking's Voting Classifier (MLP+XGB+Decision tree classifier) distinguishes phishing webwebwebsites better. An easy to use Flask framework with SQLite joining improves on user testing enlistment and signin, making network protection applications usable.