Machine learning for security

Two models, one lab bench

Classifiers trained on public security datasets and served as live web services. Pick one to try it on your own input.

live
Phishing URLs

PhishGuard

Paste a web address and the model judges whether the domain name looks like phishing.

  • DatasetPhiUSIIL
  • ModelLogistic regression
  • Features17 domain signals
  • Accuracy87.9%
URL inputinstantHTTPS
Open PhishGuard
live
Network intrusion

FlowGuard

Upload a CSV of network flows and every flow is scored as an attack or normal traffic.

  • DatasetCICIDS2017
  • ModelRandom forest
  • Features77 flow features
  • Macro F10.9997
CSV uploadJSON APIHTTPS
Open FlowGuard

Both scores come from held-out test data drawn from the same captures as training, so they read higher than these models would manage on traffic from a different network. Educational use only.