Topic <span>Malicious Email Detection</span>
MEADE: Towards a Malicious Email Attachment Detection Engine
Phishing Detection
Social engineering attacks are on the rise, and remarkably resistant to detection by traditional signature-driven approaches. We’ve taken state-of-the-art work in natural language processing and adapted it to detect phishing and BEC email with remarkable detection rates.
CATBERT — Detecting malicious emails with a bleeding-edge neural language model
Introduction Malicious emails have been widely used by cybercriminals to attack numerous victims using techniques such as fraud, phishing and […]