Radware, Ltd.

Ehud Doron

David Aviv

Yotam Ben Ezra

Lev Medvedovsky

Avi Chesla

Amit Bismut

Koral Haham

Nir Ilani

Yuriy Arbitman

Eyal Rundstein

Yehuda Zisapel

Shay Naeh

Avishay Balderman

Asaf Oron

Yotam Ben-Ezra

Ronit Lubitch Greenberg

Benny Rochwerger

Amnon Lotem

Nissim Pariente

Alon Tamir

Kobi Samoray

Gershon Sokolsky

Masato Sekiguchi

Ami Navon

Nadav Grossaug

An out-of-path defense platform protecting against excessive utilization of a cloud service providing a cloud hosted application comprising a controller communicatively coupled to a detector and a mitigator; wherein the detector receives telemetries from sources that are configured to collect telemetries related to the traffic between end user devices and an edge network that distributes traffic for the cloud hosted application, the telemetries being out-of-path information for traffic to and from the cloud-hosted application, wherein a portion of the telemetries relate to operation of a portion of a cloud computing platform hosting the cloud-hosted application, and detects, using the collected telemetries and a learned normal utilization behavior of each cloud service for the cloud-hosted application, excessive utilization of a cloud service by the cloud hosted application; and wherein the controller, upon detection of the excessive utilization, causes mitigation, by the mitigator, of the excessive utilization of each cloud service.

Techniques for protecting against excessive utilization of cloud services

A method of characterization of requests using dynamic applicative signatures. The method comprises determining a plurality of different attributes of requests received during an on-going DDoS attack; clustering at least one attribute of the plurality of different attributes, wherein the clustering is based on values of the plurality of different attributes; obtaining at least one dynamic applicative signature characterizing operation of an application layer flood attack tool; matching the cluster of the at least one attribute to each of the at least one obtained dynamic applicative signature; and causing a mitigation action when there is a match to the at least one obtained dynamic applicative signature.

Techniques for generating signatures characterizing advanced application layer flood attack tools

A method for characterizing application layer denial-of-service (DDoS) attacks comprises generating a plurality of dynamic applicative signatures by analyzing at the application layer application layer requests received during an on-going DDoS attack, a dynamic applicative signature characterizing each received request based on frequent application layer attributes appearing in the received requests, wherein the requests are represented as a set of paraphrases, each paraphrase representing a specific aspect of a request's structure, the frequent application layer attributes being determined based on frequency of paraphrases in the set; characterizing each of the received requests based on one of the dynamic applicative signatures, the characterization providing an indication for each request whether a request is generated by an attack tool executing the on-going DDoS attack; and causing a mitigation action on the received request generated by the attack tool based on the generated dynamic applicative signature.

Characterization of HTTP flood DDoS attacks

A method and system for protecting cloud-hosted applications against application-layer slow DDoS attacks are provided. The system include a processing circuitry; and a memory connected to the processor, the memory contains instructions that when executed by the processing circuitry, configure the system to: collect telemetries from a plurality of sources deployed in a plurality of public cloud computing platforms, wherein each of the plurality of public cloud computing platforms hosts an instance of a protected cloud-hosted application; provide a set of rate-based and rate-invariant features based on the collected telemetries; evaluate each feature in the set of rate-based and rate-invariant features to determine whether a behavior of each feature and a behavior of the set of rate-based and rate-invariant features indicate a potential application-layer slow DDoS attack; and cause execution of a mitigation action, when an indication of a potential application-layer slow DDoS attack is determined.

Detection and mitigation of slow application layer DDoS attacks

A method and system for generating dynamic applicative signatures of by application layer flood attack tools are provided. The method includes determining a plurality of different attributes of requests received during an on-going DDoS attack; clustering at least one attribute of the plurality of different attributes, wherein the clustering is based on values of the plurality of different attributes; determining clusters of attributes representing most frequent structures of the requests received during the on-going DDoS attack; and generating, based on the determined clusters of attributes, signature of an application layer flood attack tool executing the on-going DDoS attack.

A method and system for characterizing application layer denial-of-service (DDoS) attacks are provided. The method includes generating a dynamic applicative signature by analyzing requests received during an on-going DDoS attack, wherein the dynamic applicative signature characterizes based on frequent applicative attributes appeared from the received; characterizing each incoming request based on the generated dynamic applicative signature, wherein the characterization provides an indication for each incoming request whether an incoming request is generated by an attack tool executing the on-going DDoS attributes; and causing a mitigation action on the incoming request generated by the attack tool based on the generated dynamic applicative signature.

A method for detecting DoS attacks using an encrypted communication protocol includes estimating traffic telemetries of packets of at least ingress traffic passing over an insecure network that is directed to a protected entity by analyzing TCP headers of the packets, the packets using an encrypted version of a non-encrypted communication protocol, the packets being intended for the protected entity; providing at least one rate-based feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-based feature and the rate-invariant feature demonstrate a normal behavior of the traffic; and executing a mitigation action when a potential flood DoS attack using the encrypted communication protocol is detected by an evaluation of each of the at least one rate-based feature and the at least one rate-invariant feature with respect to respective baselines to determine whether the behavior of the ingress traffic indicates a potential flood DoS attack.

Method and system for detecting and mitigating HTTPS flood attacks

A system and method for out-of-path detection of cyber-attacks are provided. The method includes receiving, by a detector, a plurality of data feeds from a plurality of data sources, wherein the detector is communicatively connected to the plurality of data sources; processing, by the detector, the plurality of received data feeds to generate enriched Flow data sets; analyzing the enriched Flow data sets to detect a potential cyber-attack; and upon detection of a potential cyber-attack, providing indication to each network entity of the network entities that is under attack.

System and method for out of path DDoS attack detection

A system and method for reducing a time to mitigate distributed denial of service (DDoS) attacks are provided. The method includes receiving a plurality of attack feeds on at least one protected object in a secured environment; analyzing the plurality of attack feeds to determine characteristics of a DDoS attack against the secure environment; determining a set of optimal mitigation resources assigned to the secured environment; selecting, based on the set of optimal mitigation resources and the attack characteristics, at least one optimal workflow scheme; and initiating a proactive mitigation action by setting each mitigation resource in the set of optimal mitigation resources according to the selected optimal workflow scheme.

Techniques for reducing the time to mitigate of DDoS attacks

A method and system for characterizing application layer flood denial-of-service (DDoS) attacks are provided. The method includes receiving an indication on an on-going DDoS attack directed to a protected entity; generating a dynamic applicative signature by analyzing requests received during the on-going DDoS attack, wherein the dynamic applicative signature characterizes requests generated by an attack tool executing the on-going DDoS attack; and characterizing each incoming request based on the generated dynamic applicative signature, wherein the characterization provides an indication for each incoming request whether a request is generated by the attack tool.

A method and system for protecting against quick UDP Internet connection (QUIC) based denial-of-service (DDoS) attacks. The system comprises extracting traffic features from at least traffic directed to a protected entity, wherein the traffic features demonstrate behavior of QUIC user datagram protocol (UDP) traffic directed to the protected entity, wherein the extract traffic features include at least one rate-base feature and at least one rate-invariant feature, and wherein the at least traffic includes QUIC packets; computing at least one baseline for each of the at least one rate-base feature and the at least one rate-invariant feature; and analyzing real-time samples of traffic directed to the protected entity to detect a deviation from each of the at least one computed baseline, wherein the deviation is indicative of a detected QUIC DDoS attack; and causing execution of at least one mitigation action when an indication of the detected QUIC DDoS attack is determined.

Detection and mitigation DDoS attacks performed over QUIC communication protocol

A method and system for characterizing application layer flood denial-of-service (DDoS) attacks carried by advanced application layer flood attack tools. The method comprises receiving an indication on an on-going DDoS attack directed toward a protected entity; analyzing requests received during the on-going DDoS attack to determine a plurality of different attributes of the received requests; generating a dynamic applicative multi-paraphrase signature by clustering at least one value of the plurality of different attributes, wherein the multi-paraphrase signature characterizes requests with different attributes as generated by an advanced application layer flood attack tool executing the on-going DDoS attack; and characterizing each incoming request based on the multi-paraphrase signature, wherein the characterization provides an indication for each incoming request whether a request is generated by the attack tool.

A system and method for protecting cloud-hosted applications against hypertext transfer protocol (HTTP) flood distributed denial-of-service (DDoS) attacks are provided. The method includes collecting telemetries from a plurality of sources deployed in at least one cloud computing platform hosting a protected cloud-hosted application; providing at least one rate-based feature and at least one rate-invariant feature based on the collected telemetries, wherein the rate-based feature and the rate-invariant feature demonstrate behavior of at least HTTP traffic directed to the protected cloud-hosted application; evaluating the at least one rate-based feature and the at least one rate-invariant feature to determine whether the behavior of the at least HTTP traffic indicates a potential HTTP flood DDoS attack; and causing execution of a mitigation action when an indication of a potential HTTP flood DDoS attack is determined.

Detection and mitigation of flood type DDoS attacks against cloud-hosted applications

A system and method for detecting anomalous hypertext transfer protocol secure (HTTPS) traffic are provided. The method includes receiving samples of at least rate-based features, wherein the rate-based features demonstrate a normal behavior of at least HTTPS traffic directed to a protected entity; computing a short-term baseline and a long-term baseline based on the received samples, wherein the short-term baseline is adapted to relatively rapid changes in the HTTPS traffic and the long-term baseline is adapted to relatively slow changes in the HTTPS traffic; computing at least one short-term threshold respective of the short-term baseline and at least one long-term threshold respective of the long-term baseline; evaluating each of the at least one threshold against real-time samples of HTTPS traffic to determine whether behavior of the HTTPS traffic is anomalous; and generating alarm when anomaly is detected.

Baselining techniques for detecting anomalous HTTPS traffic behavior

A defense platform for protecting a cloud-hosted application against distributed denial-of-services (DDoS) attacks, wherein the defense platform is deployed out-of-path of incoming traffic of the cloud-hosted application hosted in a plurality of cloud computing platforms, comprising: a detector; a mitigator; and a controller communicatively connected to the detector and the mitigator; wherein the detector is configured to: receive telemetries related to behavior of the cloud-hosted application from sources deployed in the plurality of cloud computing platforms; and detect, based on the telemetries, a potential DDoS attack; wherein, the controller, upon detection of a potential DDoS attack, is configured to: divert traffic directed to the cloud-hosted application to the mitigator; cause the mitigator to perform at least one mitigation action to remove malicious traffic from the diverted traffic; and cause injection of clean traffic to at least one of the plurality of cloud computing platforms hosting the cloud-hosted application.

Growing community of inventors

Moddi'in, Israel

Ehud Doron