Machine learning hones weapons of maldoc destruction

Credit to Author: Jason Zhang| Date: Tue, 09 Apr 2019 14:49:19 +0000

By Jason Zhang Criminals continue to leverage the features of Adobe&#8217;s PDF document format to engage in malware and phishing attacks, with no sign of a slowdown. Last year at Black Hat USA, I gave a presentation about PDF-based malware detection using machine learning. We discovered that the best AV engine could only catch fewer [&#8230;]<img src=”http://feeds.feedburner.com/~r/sophos/dgdY/~4/3k1sko1i93Y” height=”1″ width=”1″ alt=””/>

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A week in security (March 4 – 11)

Credit to Author: Malwarebytes Labs| Date: Mon, 11 Mar 2019 15:47:27 +0000

A roundup of cybersecurity news from March 4–11, including a Chrome zero-day, Labs’ data privacy report, news from RSA, and more.

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How Machine Learning can Expose and Illustrate Network Threats

Credit to Author: Trend Micro| Date: Wed, 30 Jan 2019 14:34:21 +0000

Although machine learning algorithms have been around for years, additional use cases are being discovered and applied all the time, particularly when it comes to network and data security. As years have passed, the skills and sophisticated approaches being utilized by hackers have risen in severity and frequency, and white hats as well as enterprise…

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