
Real-time phishing URL and webpage analysis using AI to detect dynamic, targeted attacks, integrating with SIEM/SOAR for enhanced security.
Vendor
Hornetsecurity
Company Website
IsItPhishing Threat Detection is designed to improve phishing threat detection by providing real-time analysis of phishing URLs and web pages. It addresses the challenge of increasingly sophisticated phishing emails that exploit human instincts and bypass traditional filters. This service uses artificial intelligence, including Machine Learning and Deep Learning, to detect dynamic, short-wave, and highly targeted phishing attacks. It first compares the URL against Hornetsecurity’s real-time threat intelligence from 1.4 billion protected mailboxes to immediately weed out known threats. IsItPhishing Threat Detection then performs a real-time analysis of the URL and webpage content, following all redirections to reach the final page and determine if it is malicious. Available as a REST API, it integrates into leading SIEM and SOAR solutions to enhance your organization’s security without disrupting your existing architecture.
Features:
- Real-time analysis of phishing URLs and web pages: IsItPhishing Threat Detection uses artificial intelligence, including Machine Learning and Deep Learning, to detect dynamic, short-wave, and highly targeted phishing attacks. The service first compares the URL against Hornetsecurity’s real-time threat intelligence from 1.4 billion protected mailboxes to immediately weed out known threats. IsItPhishing Threat Detection then performs a real-time analysis of the URL and webpage content, following all redirections to reach the final page and determine if it is malicious.
- Machine Learning Supervised and unsupervised machine learning algorithms analyze more than 47 characteristics of URLs and web pages, scanning for malicious behaviors, obfuscation techniques, and URL redirects.
- Deep Learning Computer Vision models analyze images to extract relevant features used in phishing attacks, including brand logos, QR codes, and suspicious textual content.