Insights from one year of tracking a polymorphic threat

We discovered the polymoprhic threat Dexphot in October 2018. In the months that followed, we closely tracked the threat as attackers upgraded the malware, targeted new processes, and worked around defensive measures. One year’s worth of intelligence helped us gain insight not only into the goals and motivations of Dexphot’s authors, but of cybercriminals in general.
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In hot pursuit of elusive threats: AI-driven behavior-based blocking stops attacks in their tracks

Two new machine learning protection features within the behavioral blocking and containment capabilities in Microsoft Defender ATP specialize in detecting threats by analyzing behavior, adding new layers of protection after an attack has started running.
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