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.

Dark Reading Staff, Dark Reading

August 12, 2021

1 Min Read

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

Read more about:

Black Hat News

About the Author(s)

Dark Reading Staff

Dark Reading

Dark Reading is a leading cybersecurity media site.

Keep up with the latest cybersecurity threats, newly discovered vulnerabilities, data breach information, and emerging trends. Delivered daily or weekly right to your email inbox.

You May Also Like

More Insights