F5 Networks, Inc.

F5, Inc.

F5 Networks (Israel) Ltd.

Vadim Krishtal

Peter Finkelshtein

Oran Asher Baruch

Maor Moshe Gaon

Methods, non-transitory computer readable media, and network traffic manager apparatus that assists with protecting a CPU during a DDOS attack includes monitoring network traffic data from plurality of client devices. Each of the plurality of client devices are classified as a valid device or a potential attacker device based on the monitoring. Next a determination of when CPU utilization of a network traffic manager apparatus is greater than a stored threshold value is made. The CPU utilization of the network traffic manager increases as a number of the plurality of client devices classified as the potential attacker device increases. One or more network actions are performed on the plurality of client devices classified as the potential attacker device to protect the CPU when the determination indicates the CPU utilization is greater than the stored threshold value.

Methods for protecting CPU during DDoS attack and devices thereof

Methods, non-transitory computer readable media, network traffic manager apparatuses, and systems that assist with managing hypertext transfer protocol (HTTP) requests using extended SYN cookie includes establishing a network connection with a client without allocating a plurality of computing resources to the established network connection, in response to aa request to establish a connection from a client. Presence of a digital signature in a first data packet comprising a request for a webpage is determined. The digital signature is compared to a plurality of stored signatures to determine when the client is a nefarious computing device when the determination indicates that the received request includes the signature. The established network connection is terminated with the client without allocating the plurality of computing resources when the comparison indicates the client is the nefarious computing device.

Methods for managing HTTP requests using extended SYN cookie and devices thereof

Network traffic management apparatuses, systems, methods, and computer-readable media for automatically detecting attack signatures and generating attack signature identifications, involving: collecting a stable dataset during a stable time; determining whether a cyber-attack is detected; when a cyber-attack is detected, periodically generating attack signatures and updating an enforcer with the attack signatures, the attack signatures representing dynamic rules to be enforced; validating the dynamic rules via a long-time validation mechanism, validating involving considering behavior of each dynamic rule after the cyber-attack and during a new cyber-attack and ranking each dynamic rule using the stable dataset, thereby generating persistent rules having a dynamic rule; exporting the persistent rules to a security enforcer; introducing the persistent rules to a persistent rule revocater; determining whether export of an unrevoked persistent rule is requested; and if requested, exporting the unrevoked persistent rule of the persistent rules through a mitigator and collecting statistics.

Methods and devices for automatically detecting attack signatures and generating attack signature identifications

A method, non-transitory computer readable medium, security management apparatus, and network traffic management system that monitors received HTTP requests associated with a source IP address to obtain data for one or more signals. A value for one or more bins corresponding to one or more of the signals for individual behavioral histograms and a global behavioral histogram is updated based on the signal data. The individual behavioral histograms each correspond to one of the source IP addresses. A determination is made when a DDoS attack condition is detected. When the determining indicates that the DDoS attack condition is detected, an attack pattern is identified in the global behavioral histogram and a mitigation action is initiated for one of the source IP addresses based on a correlation of one of the individual behavioral histograms, which corresponds to the one of the source IP addresses, to the attack pattern.

Methods for mitigating distributed denial of service attacks and devices thereof

A method, non-transitory computer readable medium and device that assist with configuring adaptive rate limit based on server health and statistics includes obtaining server health data and a current response transmission rate associated with one of the plurality of servers. An adaptive rate limit is determined based on the obtained server health data and the current response transmission rate. An actual rate and the determined adaptive rate limit is compared to determine when the actual rate of transmission is greater than the determined adaptive rate limit. A plurality of network data packets is transmitted at the determined adaptive rate limit when the actual rate of transmission is determined to be greater than the determined adaptive rate limit.

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Tel Aviv, Israel

Vadim Krishtal