Abstract: 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 signatur

Abstract: Arrangements for controlling access to a protected entity include receiving a redirected client request to access the protected entity that includes a public key of the client; granting, in response to the received redirected request, access tokens of a first type to a client using the public key of the client; identifying a conversion transaction identifying a request to convert the first type of access tokens with access tokens of a second type, the transaction designating the protected entity; determining a conversion value for converting the first-type access tokens into second-type access tokens based on at least one access parameter; converting, using the conversion value, a first sum of the first-type access tokens into a second sum of second-type access tokens; and granting the client access to the protected entity when the sum of second-type of access tokens is received as a payment from the protected entity.

Abstract: A method and system for mitigating of randomized denial-of-service (DDoS) attacks directed against a protected entity during an attack time period are provided. The method includes receiving a packet during the attack time period; selecting a cluster defining legitimacy characteristics from at least one cluster of packets that best fits the received packet, wherein legitimacy characteristics of a cluster are learned during a peacetime period; determining a legitimacy score for the received packet based on the legitimacy characteristics of the selected cluster; determining based on the legitimacy score if the received packet is not legitimate; and applying a mitigation action on the received packet upon determination that the packet is not legitimate.

Abstract: 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.

Abstract: Arrangements for controlling access to a protected entity include receiving a redirected request of the client to access the protected entity that was denied by the protected entity; granting, in response to the received redirected request, access tokens of a first type to the client; identifying a conversion transaction identifying a request to convert the first type of access tokens with access tokens of a second type, wherein the transaction designates at least the protected entity; converting, based on a determined conversion value, a first sum of the first type of access tokens into a second sum of the second type of access tokens wherein the conversion value is determined based on at least one access parameter; and granting the client access to the protected entity when the sum of the second type of access tokens is received as a payment from the protected entity.

Abstract: 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.

Abstract: The method and system for performing a completely automated public Turing test to tell computers and humans apart (CAPTCHA). The method comprises receiving by a server a request from a service server to initiate a CAPTCHA of a user node; generating an image of a path; generating at least one target to be placed upon the path; generating an object to be placed at a start point of the path; sending the generated path, the at least one generated target, and the object as a CAPTCHA challenge to the user node for display thereon; receiving, by the server, data respective of motion of the object with respect to the path and the at least one generated target; and issuing, based on analysis of the data received data, a pass indication upon determination that the user node is operative by a human.

Abstract: 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.

Abstract: 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.

Abstract: A method for protecting entities against bots is provided. The method includes identifying a request from a client to access a protected entity; selecting an access policy in response to the access request, wherein the access policy includes at least one challenge to be performed by the client; identifying results of the at least one challenge, wherein the results are provided by the client upon completion of the challenge; determining a bias of the client based on the completion results, wherein the determined bias is utilized for a cyber-security assessment of the client; and granting access to the protected entity by the client based on the determined bias.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes: identifying at least one hit quantile out of a plurality of quantiles, wherein the at least one identified hit quantile falls within quantile edges of a sample of traffic directed at a protected entity, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate; updating the probability estimates of the plurality of quantiles when the at least one hit quantile has been identified; and when the probability estimate of the at least one hit quantile is above a threshold, taking an action to mitigate existence of a cyber-attack.

Abstract: 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.

Abstract: A method and system for detecting client-side cross-site scripting exploitation attacks according to an embodiment are disclosed. The method includes downloading an access list from a remote server; capturing a request to access an external resource, wherein the request is initiated by a script executed over the web browser, wherein the external web resource is external to the web browser executed on a client device; determining, based on the access list, if the requested external web resource can be accessed; and applying a mitigation action on the request to access the external web resource when it is determined that the external web resource cannot be accessed.

Abstract: A method and system for detecting and mitigation a cyber-attack scanner are provided. The method includes determining if a source network address designated in a received packet is suspicious as of a cyber-attack scanner, wherein the determination is based on a likelihood that the source address was previously frequently encountered; upon determining that the source network address is suspicious, determining diversity of destination network addresses sent by a source having the suspicious network address; and upon determining that the destination network addresses are diversified, generating an alarm indicating that a source network address is a cyber-attack scanner, wherein a cyber-attack scanner is a device to identify destination network addresses in a protected entity that be exploit for at least a cyber-attack scanner.

Abstract: 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.

Abstract: A method for protecting entities against bots is provided. The method includes identifying a request from a client to access a protected entity; selecting an access policy in response to the access request, wherein the access policy includes at least one challenge to be performed by the client; identifying results of the at least one challenge, wherein the results are provided by the client upon completion of the challenge; determining a bias of the client based on the completion results, wherein the determined bias is utilized for a cyber-security assessment of the client; and granting access to the protected entity by the client based on the determined bias.

Abstract: A method and system for continuously configuring a web application firewall (WAF) are provided. The method includes receiving a request directed at a protected web application, wherein the request is received from a client device associated with a trusted user account, and wherein the protected web application is protected by the WAF; validating the received request based on at least a signature included in a header of the received request; when the received request is validated, generating an authorization rule based on the received request, wherein the authorization rule allows access to a resource of the protected web application designated in the received request, wherein the generated authorization rule is included in at least one whitelist the WAF is configured with; and configuring the WAF with the generated authorization rule to allow the received request and subsequent request to be directed to the resource of the protected web application.

Abstract: A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes identifying at least one hit quantile out of a plurality of quantiles, wherein at least one sample of traffic directed at a protected entity falls within quantile edges of the at least one identified hit quantile, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate of bytes to fall into it; updating the probability estimates of the plurality of quantiles when the hit quantile has been identified; determining if the probability estimate of the at least one hit quantile is above a threshold; and detecting a cyber-attack when the probability estimate of the at least one hit quantile is above the threshold.