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/Systems And Methods For Training An Autoencoder For Detection Of Phishing Webpages
Abstract

The disclosure provides a computerized method including operations of obtaining training data comprising sample webpage images, wherein at least a portion of the sample webpage images include login screen components, training an autoencoder on the training data comprising the sample webpage images by iteratively performing a set of operations for each of the sample webpage images including, providing a first sample webpage image to the encoder resulting in a first sample latent representation, decoding the first sample latent representation by the decoder thereby producing a reconstructed version of a sample login component of the first sample webpage image, and comparing the reconstructed version of the sample login component of the first sample webpage image with an original version of the sample login component of the first sample webpage image resulting in computation of a loss.

Full Text

What is claimed is:

The disclosure provides a computerized method including operations of obtaining training data comprising sample webpage images, wherein at least a portion of the sample webpage images include login screen components, training an autoencoder on the training data comprising the sample webpage images by iteratively performing a set of operations for each of the sample webpage images including, providing a first sample webpage image to the encoder resulting in a first sample latent representation, decoding the first sample latent representation by the decoder thereby producing a reconstructed version of a sample login component of the first sample webpage image, and comparing the reconstructed version of the sample login component of the first sample webpage image with an original version of the sample login component of the first sample webpage image resulting in computation of a loss.
Timeline
Filed
03/05/2026
Published
07/09/2026
Granted
Not Available
IPC Codes(1)
H04L 9/40:Network security protocols