Learn how the Sublime Platform addresses the nuance behind QR code phishing attacks and what we’ve learned in defending against this emerging email threat.

Learn how callback phishing poses unique detection challenges and how Computer Vision techniques like Optical Character Recognition and Logo Detection can help guard against these advanced social engineering tactics.

Learn about the challenges of detecting Business Email Compromise (BEC) attacks and what makes them difficult for traditional security measures to identify. We'll explore how Natural Language Understanding and Message Query Language are used to detect and prevent these threats at scale.

This post will cover a brief timeline of QakBot’s evolution, and focus primarily on recently observed attack techniques. We’ll discuss detection methodologies and share MQL rules that anyone can use to detect, prevent, and hunt for these threats in email environments today. If you're already running Sublime, you received these new protections automatically.

Learn how Sublime uses Siamese Neural Networks, Object Detection, and other signals within MQL to identify credential phishing attacks.

Message Query Language enables defenders to share protections against email attacks and powers all rules, insights, and hunts for Sublime.

Sublime is the world’s first open email security platform that lets anyone write, run, and share rules in a universal domain-specific language (DSL) to block email-borne attacks, hunt for threats, and more.