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
· Journal of integrated scienc... · 0 citations