Mcafee, Inc.

Fireeye, Inc.

Fireeye Security Holdings US LLC

Amit Malik

Abhishek Singh

Shivani Deshpande

Neeraj Thakar

Wei Zheng

Aakash Jain

Vikas Taneja

Benjamin Cruz

Raghav Pande

Reghav Pande

According to one embodiment, a malware detection software being loaded into non-transitory computer readable medium for execution by a processor. The malware detection software comprises exploit detection logic, rule-matching logic, reporting logic and user interface logic. The exploit detection logic is configured to execute certain event logic with respect to a loaded module. The rule-matching logic includes detection logic that is configured to determine whether an access source is attempting to access a protected region and determine whether the access source is from a dynamically allocated memory. The reporting logic includes alert generating logic that is configured to generate an alert while the user interface logic is configured to notify a user or a network administrator of a potential cybersecurity attack.

Method to detect application execution hijacking using memory protection

A malware detection system configured to detect suspiciousness in obfuscated content. A multi-stage static detection logic is utilized to detect obfuscation, make the obfuscated content accessible, identify suspiciousness in the accessible content and filter non-suspicious non-obfuscated content from further analysis. The multi-stage static detection logic includes a controller, a de-constructor, and a post-processor. The controller is configured to receive content while the de-constructor configured to receive content from the controller and deconstruct the content using the analysis technique selected by the controller. The post-processor is configured to receive the de-constructed content from the de-constructor, determine whether a specimen within the de-constructed content is suspicious, and remove non-suspicious content from further analysis.

Multistage system and method for analyzing obfuscated content for malware

Systems, computer readable media, apparatuses, and methods are disclosed for segregating executable files exhibiting network activity. An example apparatus includes at least one processor and memory including instructions which, when executed, cause the at least one processor to launch an executable file in a segmented portion of a computing system to load one or more dynamically linked libraries (DLLs) associated with the executable file into a process environment block (PEB) of the segmented portion, enumerate the PEB to generate an address list of the one or more DLLs, scan the one or more DLLs to determine whether the one or more DLLs are to perform network activity, and perform malware analysis on the executable file when at least one of the one or more DLLs are to perform network activity.

Segregating executable files exhibiting network activity

By hooking application programming interfaces in an execution environment, the return address for hooked application programming interface calls can be logged and used to determine when a packed binary has been unpacked. In one approach, memory allocations are detected and the return address is checked against the memory regions allocated. In another approach, the contents of memory at the return address in a pre-execution copy of the executable binary is compared with the contents of memory at the return address in the executing copy of the binary. This allows efficient detection of the completion of unpacking without knowledge of the unpacking technique. The unpacked binary may then be analyzed for possible malware.

Generic unpacking of program binaries

According to one embodiment, a system comprising a dynamic analysis server comprising one or more virtual machines is disclosed, wherein the one or more virtual machines may be configured to execute certain event logic with respect to a loaded module. The virtual machines may be communicatively coupled to a virtual machine manager and a database; and rule-matching logic comprising detection logic, wherein the detection logic is configured to determine (1) whether an access source is attempting to access a protected region such as a page guarded area; and (2) determine whether the access source is from the heap. The system further comprises reporting logic that is configured to generate an alert so as to notify a user and/or network administrator of a probable application-execution hijacking attack.

An executable file is loaded into memory. The executable file is analyzed to determine whether one or more dynamically linked libraries are referenced in an import table of the file. It can then be determined whether one or more dynamically linked libraries is adapted to contact a network.

A malware detection system configured to detect suspiciousness in obfuscated content. A multi-stage static detection logic is utilized to detect obfuscation, make the obfuscated content accessible, identify suspiciousness in the accessible content and filter non-suspicious non-obfuscated content from further analysis. The system is configured to identify obfuscated content, de-obfuscate obfuscated content, identify suspicious characteristics in the de-obfuscated content, execute a virtual machine to process the suspicious network content and detect malicious network content while removing from further analysis non-suspicious network content.

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Bengaluru, India

Amit Malik