System and method for detecting a domain generation algorithm (DGA), comprising: performing processing associated with clustering, utilizing a name-based features clustering module accessing information from an electronic database of NX domain information, the randomly generated domain names based on the similarity in the make-up of the randomly generated domain names; performing processing associated with clustering, utilizing a graph clustering module, the randomly generated domain names based on the groups of assets that queried the randomly generated domain names; performing processing associated with determining, utilizing a daily clustering correlation module and a temporal clustering correlation module, which clustered randomly generated domain names are highly con-elated in daily use and in time; and performing processing associated with determining the DGA that generated the clustered randomly generated domain names.

Method and system for detecting dga-based malware

A method and system for detecting a malicious domain name, comprising: collecting domain name statistical information from a non-recursive domain name system name server (RDNS NS); and utilizing the collected domain name statistical information to determine if a domain name is malicious or benign.

Method and system for detecting malicious domain names at an upper DNS hierarchy

A computerized system and method for performing behavioral clustering of malware samples, comprising: executing malware samples in a controlled computer environment for a predetermined time to obtain HTTP traffic; clustering the malware samples into at least one cluster based on network behavioral information from the HTTP traffic; and extracting, using the at least one processor, network signatures from the HTTP traffic information for each cluster, the network signatures being indicative of malware infection.

Method and system for network-based detecting of malware from behavioral clustering

A system and method of analysis. NX domain names are collected from an asset in a real network. The NX domain names are domain names that are not registered. The real network NX domain names are utilized to create testing vectors. The testing vectors are classified as benign vectors or malicious vectors based on training vectors. The asset is then classified as infected if the NX testing vector created from the real network NX domain names is classified as a malicious vector.

Method and system for detecting malware

A method for automatically extracting and organizing information by a processing device from a plurality of data sources is provided. A natural language processing information extraction pipeline that includes an automatic detection of entities is applied to the data sources. Information about detected entities is identified by analyzing products of the natural language processing pipeline. Identified information is grouped into equivalence classes containing equivalent information. At least one displayable representation of the equivalence classes is created. An order in which the at least one displayable representation is displayed is computed. A combined representation of the equivalence classes that respects the order in which the displayable representation is displayed is produced.

System and Method for Automatically Detecting and Interactively Displaying Information About Entities, Activities, and Events from Multiple-Modality Natural Language Sources

Methods and systems for analyzing flows of communication packets. A front-end processor associates input packets with flows and forwards each flow to the appropriate unit, typically by querying a flow table that holds a respective classification for each active flow. In general, flows that are not yet classified are forwarded to the classification unit, and the resulting classification is entered in the flow table. Flows that are classified as requested for further analysis are forwarded to an appropriate flow analysis unit. Flows that are classified as not requested for analysis are not subjected to further processing, e.g., discarded or allowed to pass.

System and method for efficient classification and processing of network traffic

Methods and systems for managing the actions that are applied to packet flows by packet processing systems. A packet processing system maintains a flow table, i.e., a list of active flows and respective actions to be applied to the flows. The system classifies each incoming packet into a respective flow, and processes the packet in accordance with the action that is specified for this flow in the flow table. Typically, the system deletes a packet flow from the flow table when it becomes inactive, e.g., when no packets belonging to the flow arrive within a certain time-out period.

System and method for flow table management

A rule engine configured with at least one hash table which summarizes the rules managed by the engine. The rule engine receives rules and automatically adjusts the hash table in order to relate to added rules and/or in order to remove cancelled rules. The adjustment may be performed while the rule engine is filtering packets, without stopping. The rules may be grouped into a plurality of rule types and for each rule type the rule engine performs one or more accesses to at least one hash table to determine whether any of the rules of that type match the packet. In some embodiments, the rule engine may automatically select the rule types responsive to a set of rules provided to the rule engine and adapt its operation to the specific rules it is currently handling, while not spending resources on checking rule types not currently used.

System and method of high volume rule engine

Systems and methods for identifying and characterizing relationships based on communication traffic. The methods may include accepting indications of communication conducted among entities over a communication network, and using a link processor, analyzing the indications so as to identify that two or more of the entities are interrelated by detecting one or more intermediate entities with which the two or more entities communicate. A criterion may be evaluated with respect to the indications associated with a given entity, responsively to meeting the criterion, disqualifying the given entity from serving as an intermediate entity in analyzing the indications.

System and method for determining commonly used communication terminals and for identifying noisy entities in large-scale link analysis

Methods and systems related to keyword searching processes. A list of keywords may be first represented by a set of short substrings. The substrings are selected such that an occurrence of a substring indicates a possible occurrence of one or more of the keywords. Input data may be initially pre-processed, so as to identify locations in the input data in which the substrings occur. Then, the identified locations are searched for occurrences of the actual keywords. The pre-processing scheme enables the keyword search process to search only in the identified locations of the substrings instead of over the entire input data.

Systems and methods for efficient keyword spotting in communication traffic

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