Radware, Ltd.

Skybox Security Inc.

Skybox Secutiry Inc.

Seculert Ltd.

Skyobox Security Inc.

Amnon Lotem

Gideon David Cohen

Moshe Meiseles

Nissim Pariente

Ilan Horn

Doron Peri

Aviv Raff

Ravid Circus

Amos Arev

Moshe Raab

Adi Raff

Tal Halpern

Stav Kaufman

Alexander Haiut

Ehud Doron

Tal Sheffer

Lior Ben Naon

Yotam Ben-Ezra

Lior Ban Naon

Gideon Choen

Leo Reznik

Yaniv Amram

Doron Shavit

Ami Navon

Orly Stan Benchetrit

Nadav Grossaug

A device and method for configuring a web application firewall (WAF) based on characterization of web attacks are provided. The method includes receiving a plurality of hypertext transfer protocol transactions (HTTP) entities; tokenizing the received plurality of HTTP entities based on at least one delimiter; analyzing statistical distribution of each of the at least one delimiter in the tokenized HTTP entities; training a model based on an analysis of the tokenized HTTP entities, when a sufficient number of HTTP entities have been analyzed; and configuring, based on the trained model, the WAF with at least one detection rule to detect at least malicious HTTP transactions.

Characterization of illegitimate web transactions

Arrangement for hardening cloud security policies of a cloud computing platform includes analyzing a plurality of permission usage maps, one for each cloud entity of a plurality of cloud entities included in the computing platform to discover at least one hardening gap, wherein each hardening gap is at least a difference between permissions granted and permissions used by one of the cloud entities, wherein each of the permission usage maps represents the permissions granted to a respective one of the cloud entities and the permissions used by that respective at least one of the cloud entities; for each discovered hardening gap, computing a risk score designating a potential risk reduction achieved by addressing the hardening gap; generating at least one hardening recommendation for the at least one hardening gap and its respective computed risk score; and applying the at least one hardening recommendation, thereby hardening the cloud computing platform.

Hardening of cloud security policies

A method for operating at least one log-analytics detection platform for detecting security threats associated with a client network, comprising: obtaining, via a communication network, log files from a client network, each log file comprising a log record associated with a channel and including an outbound communications log; extracting a channel feature set for said channels from said log files, said channel feature set comprises data pertaining to an associated entity, at least one channel feature being behavior of communication over a channel; aggregating said channel associated features for each of the channels into a data repository; generating a risk factor characterized by an entity score for said least one entity associated with entities of said channels; and blocking of communication for said entity when said risk factory is indicative of said entity being a security threat.

System and methods for malware detection using log analytics for channels and super channels

A method and system for hardening cloud security policies of a cloud computing platform are presented. The method includes gathering cloud activity logs from at least the cloud computing platform, wherein the cloud computing platform includes a plurality of cloud entities; gathering a plurality of cloud security policies provisioned to protect the cloud entities; for each of the plurality of cloud security policies, generating a permission usage map, wherein the permission usage map represents the permissions granted to each cloud entity and the permissions used by each cloud entity; analyzing the permission usage map to discover at least one hardening gap, wherein each hardening gap is at least a difference between permissions granted and permissions used by a cloud entity; for each discovered hardening gap, computing a risk score designating a potential risk reduction achieved by addressing the hardening gap; generating at least one hardening recommendation for the at least one hardening gap and its respective computed risk score; and applying the at least one hardening recommendation to the respective cloud security policy, thereby hardening the cloud computing platform.

Log based analysis systems and methods for protecting computers and networks from malicious communications and malware attacks by analyzing log data obtained from client networks having network entities representing business units or customers. The system may further comprise a plurality of client asset machines, each operable to execute a security product associated with a security product vendor and log associated information of the network entities into at least one log file. The log files may be uploaded onto a log-analytics detection platform for analysis using learning algorithms operable to generate a risk factor attribute for at least one entity.

A method and system for protecting a cloud computing platform against cyber-attacks are provided. The method includes gathering cloud logs from a cloud computing platform; analyzing, by a plurality of detectors, the cloud logs to detect at least one suspicious behavior, wherein each of the at least one suspicious behavior is identified by a suspect indicator; sequencing suspect indicators into attack sequences; scoring each of the attack sequences with an attack score, wherein each attack is scored using a scoring model; and alerting on each attack sequence having a score higher than a predefined threshold.

Techniques for defending cloud platforms against cyber-attacks

A method and system for predicting subsequent cyber-attacks in attack campaigns are provided. The method includes receiving events data related to cyber-attacks occurring in a network during a predefined time window; extracting at least one sequence from the received events data at least one attack vector; generating a sequence signature for each of the at least one extracted sequence; comparing each sequence signature to a representation of historic sequence signatures to determine at least partially matching sequence signature; and based on the matching sequence, determining at least one subsequent cyber-attack in a respective sequence.

Techniques for predicting subsequent attacks in attack campaigns

A method for automatically translating a banner information, the method may include receiving by a computer the banner information, wherein the banner information is included in at least one banner and describes an identity of a software product; and translating by the computer the banner information into a unique software product identifier using a content of knowledgebase that comprises an attributes schema and translation rules; wherein each software product is associated with a single unique software product identifier; wherein the unique software product identifier comprises a structured set of attributes; wherein at least one translation rule is a pattern based translation rule; wherein the attributes schema specifies a set of allowable attributes and of allowable values of the attributes.

Method for translating product banners

A crowdsourcing log analysis system and methods for protecting computers and networks from malware attacks by analyzing data log information obtained from a plurality of client network. The client networks are associated with a set of network entities representing a plurality of business units or customers. The system may further comprise a plurality of server machines, each operable to execute a security product associated with a security product vendor and log associated information of at the network entities into at least one log file. The log files may be uploaded onto a breach detection platform for analysis based upon crowdsourcing principles and is operable to generate a risk factor attribute for at least one suspect entity.

System and methods for malware detection using log based crowdsourcing analysis

A method for simulation aided security event management, the method comprises: generating attack simulation information that comprises multiple simulation data items of at least one data item type out of vulnerability instances data items, attack step data items and attack simulation scope data items; wherein the generating of attack simulation information is responsive to a network model, at least one attack starting point and attack action information; identifying security events in response to a correlation between simulation data items and event data; and prioritizing identified security events.

Method for simulation aided security event management

A method for evaluating a deployment of a network access change request, the method includes: (a) formatting a network access change request to provide a formatted network access change request; wherein the formatted network access change request includes multiple formatted request items; wherein the multiple formatted request items includes a requested access type, an address of an access source, an address of an access destination; (b) determining multiple relationships between the multiple formatted request items and corresponding items of at least one entity out of a network model and a current network policy; and (c) responding to the network access change request in response to the multiple determined relationships.

Method, a system, and a computer program product for managing access change assurance

A method, system and computer program product for evaluating an IDP entity, the method includes evaluating an effect of at least one IDP rule applied by the IDP entity on legitimate traffic, based upon a network model; evaluating an effect of at least one IDP rule applied by the IDP entity based upon a network model and an attack model; determining an effectiveness of the IDP entity in response to the evaluated effects.

System, method and computer readable medium for evaluating a security characteristic

A method for simulation aided security event management, the method includes: generating attack simulation information that comprises multiple simulation data items of at least one data item type out of vulnerability instances data items, attack step data items and attack simulation scope data items; wherein the generating of attack simulation information is responsive to a network model, at least one attack starting point and attack action information; identifying security events in response to a correlation between simulation data items and event data; and prioritizing identified security events.

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Ramot Hashavim, Israel

Amnon Lotem