Google Inc.

Rapid7, Inc.

Mandiant Corporation

Matthew Berninger

Barry Vengerik

Roy Donald Hodgman

Vasudha Shivamoggi

Katherine Wilbur

Luke Ludington

Jacqueline Daniel

Lauren Johnson

A method includes obtaining a command captured at a computing device to start a process on the computing device submitted via a command line interface. The command is of a plurality of commands captured at respective computing devices that triggered respective alerts to review the plurality of commands. The method includes parsing the command to generate a plurality of tokens that represent the command according to dictionary of features of commands submitted via the command line interface, generating a feature vector based, at least in part, on the plurality of tokens, applying a classification model, trained on other commands submitted via the command line interface to predict benign commands, to the feature vector to determine a score indicative of a probability that the command is benign, and, responsive to a determination that the score is above a confidence threshold, removing the command from the plurality of commands to be reviewed.

Command line parsing for classification of process start alerts

A computerized method for associating cyberthreat actor groups responsible for different cyberthreats is described. The method involves generating a similarity matrix based on content from received clusters of cybersecurity information. Each received cluster of cybersecurity information is assumed to be associated with a cyberthreat. The similarity matrix is composed via an optimized equation combining separate similarity metrics, where each similarity metric of the plurality of similarity metrics represents a level of correlation between at least two clusters of cybersecurity information, with respect to a particular aspect of operations described in the clusters. The method further involves that, in response to queries directed to the similarity matrix, generating a listing of a subset of the clusters of cybersecurity information having a greater likelihood of being associated with cyberthreats caused by the same cyberthreat actor group.

System and method for associating cybersecurity intelligence to cyberthreat actors through a similarity matrix

System and method for automatically associating cybersecurity intelligence to cyberthreat actors

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Denver, CO, United States of America

Matthew Berninger