Fireeye, Inc.

Mcafee, Inc.

Yichong Lin

Zheng Bu

Abhishek Singh

Emmanuel Thioux

Bing Sun

Chong Xu

Angshuman Mukherjee

Navtej Singh

Rahul Chander Kashyap

According to one embodiment, a computerized method comprises conducting a first static scan on content within a file. Thereafter, if the first static scan did not result in the file being classified as malicious, the file is deconstructed to gain access to one or more objects within the file. A second static scan associated with the one or more objects is performed to determine whether the one or more objects are suspected of including malware. The file may then be classified as malicious based on results of the second static scan.

System, apparatus and method for classifying a file as malicious using static scanning

A method is provided in one example embodiment and includes initiating an execution of a compiled script, evaluating a function called in the compiled script, detecting an execution event based on at least a first criterion, and storing information associated with the execution event in an execution event queue. The method also includes verifying a correlation signature based on information associated with at least one execution event in the execution event queue. In specific embodiments, the method includes evaluating an assignment statement of a script during compilation of the script by a compiler, detecting a compilation event based on at least a second criterion, and storing information associated with the compilation event in a compilation event queue. In yet additional embodiments, the verification of the correlation signature is based in part on information associated with one or more compilation events in the compilation event queue.

Detection of malicious scripting language code in a network environment

A method for determining a zero-day attack by an electronic device is described. According to one embodiment, the method comprises instantiating, by the electronic device, at least one virtual machine, the at least one virtual machine being based on a fortified software profile. The method further comprises executing content capable of behaving as an exploit on the at least one virtual machine, and determining that the exploit is associated with zero-day exploit when the exploit, upon execution of the content on the at least one virtual machine, performs an undesired behavior.

Zero-day discovery system

According to one embodiment, a threat detection system is integrated with at least a dynamic analysis engine. The dynamic analysis engine is configured to automatically detect a function call by an application, responsive to detecting the function call, analyze contents located at one or more addresses located within a portion of memory allocated for the application, and, based on the analysis, determine whether one or more objects included in received network traffic is associated with a return-oriented programming (ROP) exploit.

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Fremont, CA, United States of America

Yichong Lin