The present invention generally relates to log message processing such that events can be detected and alarms can be generated. For example, log messages are generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). Often, relatively large numbers of logs are generated from these platforms in different formats. A log manager described herein collects such log data using various protocols (e.g., Syslog, SNMP, SMTP, etc.) to determine events. That is, the log manager may communicate with the network platforms using appropriate protocols to collect log messages therefrom. The log manager may then determine events (e.g., unauthorized access, logins, etc.) from the log data and transfer the events to an event manager. The event manager may analyze the events and determine whether alarms should be generated therefrom.

Log collection, structuring and processing

In some embodiments, a malware analysis system includes receiving a potential malware sample from a firewall; analyzing the potential malware sample using a virtual machine to determine if the potential malware sample is malware; and automatically generating a signature if the potential malware sample is determined to be malware. In some embodiments, the potential malware sample does not match a preexisting signature, and the malware is a zero-day attack.

Malware analysis system

An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

System for monitoring and managing datacenters

An advanced intelligence engine (AIE) for use in identifying what may be complex events or developments on one or more data platforms or networks from various types of structured or normalized data generated by one or more disparate data sources. The AIE may conduct one or more types of quantitative, correlative, behavioral and corroborative analyses to detect events from what may otherwise be considered unimportant or non-relevant information spanning one or more time periods. Events generated by the AIE may be passed to an event manager to determine whether further action is required such as reporting, remediation, and the like.

Advanced Intelligence Engine

In some embodiments, automatic signature generation for malicious PDF files includes: parsing a PDF file to extract script stream data embedded in the PDF file; determining whether the extracted script stream data within the PDF file is malicious; and automatically generating a signature for the PDF file.

Automatic signature generation for malicious PDF files

A method for processing network traffic data includes receiving a packet, and determining whether the packet is a previously dropped packet that is being retransmitted. A method for processing network traffic content includes receiving a plurality of headers, the plurality of headers having respective first field values, and determining whether the first field values of the respective headers form a first prescribed pattern. A method for processing network traffic content includes receiving a plurality of packets, and determining an existence of a flooding attack without tracking each of the plurality of packets with a SYN bit.

Systems and methods for detecting and preventing flooding attacks in a network environment

Various embodiments illustrated and described herein include systems, methods and software for content type classification. Some such embodiments include determining a potential state of classification for packets associated with a session based at least in part on a packet associated with the session that is a packet other than the first packet of the session.

Systems and methods for content type classification

Detecting and preventing flooding attacks in a network environment

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Systems and methods for detecting and preventing flooding attacks in a network environment

Systems and methods for content type classification

Detecting and preventing flooding attacks in a network environment