Siamese Neural Networks for Detecting Brand Impersonation

Brand impersonation is a common attack strategy in which attackers craft content to look like a known brand to deceive victims. A team of Microsoft researchers developed and trained a Siamese Neural Network, based on a dataset of more than 50,000 screenshots of known malicious log-in pages encompassing more than 1,000 impersonations, to better detect these attacks. Here, a member of the team discusses their work.

The Dark Reading News Desk interviews Justin Grana, applied researcher at Microsoft, about his teams work to develop and train a Siamese Neural Network:

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Siamese Neural Networks for Detecting Brand Impersonation