Fireeye, Inc.

Arsen Movsesyan

Alexander Otvagin

Vineet Kumar

A modularized architecture using vertical partitioning of a database is configured to store object metadata and processing results of one or more objects analyzed by a state machine, such as an analysis engine of a malware detection system. The database may include data structures, such as one or more master blocks, state sub-blocks, and state co-tables, as well as state transition queues. The modularized architecture may organize the database as one or more stages of the state machine, such that each stage corresponds to a module of the state machine, wherein the module generates results that are stored in its associated state co-table, which then provides information for a next stage. Each next stage may have a dependency on the one or more prior stages that provide input for execution of the next stage module. Dependency logic associated with each stage may determine whether the dependency is satisfied and, if so, may insert an action request into the state transition queue for the next stage to invoke an action associated with that stage.

Modular architecture for analysis database

A malware detection system may be configured to enhance analysis of an object when determining whether results for a previously analyzed object may be applied to the object. The enhanced analysis may employ context factors pertaining to an environment within which the objects operate. If an object identifier (ID) of the object matches the object ID of the previously analyzed object, but one or more of the context factors differ, then the results from the previously analyzed object may not be applied to the object and the object is subjected to further analysis, e.g., behavioral analysis. Yet if the context factors do not differ, then the object may be deemed a duplicate of the previously analyzed object, such that a result (such as an alert or 'no action') of the previously analyzed object may be applied to the object.

Determining duplicate objects for malware analysis using environmental/context information

A modularized architecture using vertical partitioning of a database is configured to store object metadata and processing results of one or more objects analyzed by a state machine, such as an analysis engine of a malware detection system. The database may include a plurality of data structures, such as one or more master blocks, state sub-blocks, and state co-tables, as well as state transition queues. The modularized architecture may organize the database as one or more stages of a state machine, wherein each stage includes a state sub-block, a state co-table and a state transition queue. The modularized architecture may further organize the database such that each stage corresponds to an action, i.e., module, of the state machine on the object. The module may process the data structures of its corresponding stage such that a state sub-block receives information from its state transition queue, wherein the module generates results that are stored in its associated state co-table, which then provides information for a next stage.

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San Jose, CA, United States of America

Arsen Movsesyan