Validate links

What should you do when you receive links in SMS, Email or Social Media? Check those links using our webservice PharecWS.

PharecWS Demo

Deep Learning Technology

End to end deep learning with both image and text data to train a highly accurate phishing detection model. The model has similar visibility, actually greater visibility, to a human and if trained correctly can learn skills of a cybersecurity expert. It is as if you have a cybersecurity expert helping you at all times.

Features

  • Real time detection of phishing pages.
  • Easy to setup and use.
  • Improved detection accuracy compared to other offerings.
  • Continuous improvements, adapting to current landscape of threats.
  • Support for local web services

Prototype demo

Model demo

Join alpha test program

Please reach out through email.

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Take a look

We are still in early phases of development. Check out the following repos for model training, test and more. Reach out social media or through Github by creating an issue

Experimental code of the phishing image classification model used in a browser extension. Currently works on firefox and can be converted to work on other browsers.

Training notebooks of the CNN model of the phishing site classifier. Includes starter utils for dataset collection

Team

A group of highly technical individuals (computer scientists, engineers and researchers) with expertise and skills in both cybersecurity and deep learning.

Contact

Please reach out through email.