Unit 42
Detecting Malicious Campaigns with Machine Learning
Unit 42 examines how using machine learning-based techniques can discover new threats and block them before they can affect our customers.
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Engineers at Work
Engineers at Work: Automatic Static Detection of Malicious JavaScript
Our engineers at work examine the automatic static detection of malicious JavaScript.
Unit 42
Unauthorized Coin Mining in the Browser
Unit 42 examines the pervasiveness of unauthorized coin mining inside browsers.
Malware, Threat Prevention, Unit 42
Angler Exploit Kit Continues to Evade Detection: Over 90,000 Websites Compr...
Exploit Kits (EK), arguably the most impactful malicious infrastructure on the Internet, constantly evolve to evade detection by security technology. Tremendous effort has been spent on tracking new variations of different EK …
Malware, Threat Prevention, Unit 42
Dormant Malicious Code Discovered on Thousands of Websites
Note: This post was updated on November 18, 2015 to reflect new information about the initial discovery of the injected code. On November 3, 2015, ZScaler reported that a Chinese government website …
Sort By:
Engineers at Work
Engineers at Work: Automatic Static Detection of Malicious JavaScript
Our engineers at work examine the automatic static detection of malicious JavaScript.
Unit 42
Detecting Malicious Campaigns with Machine Learning
Unit 42 examines how using machine learning-based techniques can discover new threats and block them before they can affect our customers.
Unit 42
Unauthorized Coin Mining in the Browser
Unit 42 examines the pervasiveness of unauthorized coin mining inside browsers.
Malware, Threat Prevention, Unit 42
Angler Exploit Kit Continues to Evade Detection: Over 90,000 Websites Compr...
Exploit Kits (EK), arguably the most impactful malicious infrastructure on the Internet, constantly evolve to evade detection by security technology. Tremendous effort has been spent on tracking new variations of different EK …
Malware, Threat Prevention, Unit 42
Dormant Malicious Code Discovered on Thousands of Websites
Note: This post was updated on November 18, 2015 to reflect new information about the initial discovery of the injected code. On November 3, 2015, ZScaler reported that a Chinese government website …