Web: https://unit42.paloaltonetworks.com/doublezero-net-wiper/

Nov. 19, 2022, 2 a.m. | Akshata Rao, Zong-Yu Wu and Wenjun Hu

Unit42 paloaltonetworks.com

Unit 42 presents a machine learning model to predict maliciousness of .NET samples based on file structures, by analyzing the DoubleZero .NET wiper.

The post An AI Based Solution to Detecting the DoubleZero .NET Wiper appeared first on Unit 42.

cortex cortex xdr doublezero doublezero wiper machine learning malware .net framework next generation firewall solution threat prevention wildfire wiper

Senior Cloud Security Engineer

@ HelloFresh | Berlin, Germany

Senior Security Engineer

@ Reverb | Remote, US

Sr. Product Manager - Cloud Security/CNAPP

@ Zscaler | Atlanta, GA, United States

ISSO - Security Delivery

@ Novetta | Columbia, MD

Junior Cyber Security Recruitment Consultant (possibility for work abroad)

@ Gradfuel | London, England, United Kingdom

Internship, Cybersecurity

@ Qontigo | Eschborn, Hessen, Germany

Security Administrator

@ Zero Hash | Melbourne, VIC - Remote

Cybersecurity Project Manager, Reactive Lead - Unit 42 Consulting (Remote)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant, GRC, Proactive Services (Unit 42) - Remote

@ Palo Alto Networks | New York City, United States

Senior Manager, Security Operations (Secure Access Engineering)

@ GitHub | Remote - United States

Junior Penetration Tester - Amsterdam

@ BreachLock | Amsterdam, North Holland, Netherlands

Senior Product Security Engineer

@ 8x8, Inc. | Remote, Romania