Vmware, Inc.

Robin Manhas

Sirisha Myneni

Nafisa Mandliwala

Baibhav Singh

Srinivas Ramaswamy

Some embodiments of the invention provide, for an intrusion detection and prevention system (IDPS) engine operating on a host computer deployed in a software-defined datacenter (SDDC), a method for detecting and analyzing malicious packet flows. Upon detecting a new packet flow, the method captures packets belonging to the new packet flow in a file. When the new packet flow ends, the method determines that a particular packet belonging to the new packet flow has triggered an alert indicating the particular packet includes a potentially malicious payload. The method annotates the file for the new packet flow with a set of contextual data that (1) specifies the new packet flow as a potentially malicious packet flow and (2) identifies the particular packet and at least one signature associated with the alert triggered by the particular packet. The method sends the annotated file to a network management server to analyze the set of contextual data to extract further information regarding the potentially malicious payload.

System and method for capturing malicious flows and associated context for threat analysis

The disclosure provides an approach for remediating false positives for a network security monitoring component. Embodiments include receiving an alert related to network security for a virtual computing instance (VCI). Embodiments include collecting, in response to receiving the alert, context information from the VCI. Embodiments include providing a notification to a management plane based on the alert and the context information. Embodiments include receiving, from the management plane, in response to the notification, an indication of whether the alert is a false positive. Embodiments include training a model based on the alert, the context information, and the indication to determine whether a given alert is a false positive.

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Cupertino, CA, United States of America

Robin Manhas