Augmenting phishing squatting detection with GANs

This paper studies how generative adversarial models can be used to extend phishing-squatting detection beyond static lists and manual heuristics.

That is useful in cybersecurity because abuse patterns evolve quickly. Generative approaches can help defenders explore plausible variants before they become established indicators in the wild.