Phishing detection on webpages in European non-English languages based on machine learning.

ABSTRACT: Machine learning-based phishing detection is crucial for preventing zero-day attacks. State-of-the-art phishing detection performs well on English webpages. However, it is not adequately accurate for webpages in minor languages. This work significantly improves phishing detection in European countries where minor languages are predominantly spoken. The proposed language-based phishing detection outperforms state-of-the-art methods for webpages in minor languages, achieving 99% accuracy on local webpages in the following countries: the Czech Republic, Denmark, Estonia, Croatia, Hungary, Lithuania, Latvia, Poland, Romania, Serbia, Slovakia, and Slovenia. The main improvement lies in reducing the false positive rate, where local benign webpages are incorrectly identified as phishing. The prop

SUBMITTER: Komosny D 

PROVIDER: S-EPMC12559260 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature