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Forum Security-X => News => Discussion démarrée par: igor51 le février 07, 2018, 15:00:13

Titre: [Trend]Detecting New Threats via Contextual Information and Reputation
Posté par: igor51 le février 07, 2018, 15:00:13
Detecting New Threats via Contextual Information and Reputation

Cybercriminals are constantly looking for new strategies to defeat security solutions and improve the success of their attacks.


The increase in adoption of polymorphism and packing has made traditional signature-based detection at the client side (endpoint) obsolete. Backend systems struggle in analyzing modern malware since both static and dynamic analysis are limited when heavily obfuscated code or anti-sandboxing techniques are employed. In addition, the number of newly discovered threats is increasing, and faster detection systems are required to protect users around the world.


Post from: Trendlabs Security Intelligence Blog - by Trend Micro


Detecting New Threats via Contextual Information and Reputation


Source: Detecting New Threats via Contextual Information and Reputation (http://feeds.trendmicro.com/~r/Anti-MalwareBlog/~3/u36BQaA4g_Y/)