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M. Alshraideh

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Open access Jul 2026

Large Language Models for phishing URL detection: A comparative study of LLaMA-3, GEMMA-7B, and traditional Machine Learning approaches

The proposed LLM-based framework offers a promising approach for improving phishing detection and strengthening modern cybersecurity defenses and suggests that transformer-based models can effectively identify deceptive domain structures, abnormal URL patterns, and obfuscation techniques.

L. Eliyan, M. Alshraideh, Bayan Alfayoumi · 0 citations