A system for efficiently thwarting syn flood DDoS attacks on a target server including a CPU, the system comprising: network controller hardware having steering capability; and a software application to create and to configure initial steering object/s which define a steering configuration of the network controller and monitor at least one opened connection to the server, including updating the steering configuration responsive to establishment of at least one connection to the server, wherein the network controller hardware's steering capability is used to provide a SYN cookie value used for said thwarting, and to send at least one packet, modified, to the packet's source.

A method, system, and computer program product for identifying a malicious user obtain a plurality of service requests for a service provided by a processing system, each service request of the plurality of service requests being associated with a requesting user and a requesting system, and a plurality of service responses associated with the plurality of service requests, each service response of the plurality of service responses being associated with the processing system; and identify the requesting user as malicious based on the plurality of service requests and the plurality of service responses.

Examples relate to computer attack model management. In one example, a computing device may: identify a first set of attack models, each attack model in the first set specifying behavior of a particular attack on a computing system; obtain, for each attack model in the first set, performance data that indicates at least one measure of attack model performance for a previous use of the attack model in determining whether the particular attack occurred on the computing system; and update the first set of attack models based on the performance data.

MITM attacks are detected by intercepting network configuration traffic (name resolution, DHCP, ARP, ICMP, etc.) in order to obtain a description of network components. A computer system generates artificial requests for network configuration information and monitors responses. Multiple responses indicate a MITM attack. Responses that are different from previously-recorded responses also indicate a MITM attack. MITM attacks may be confirmed by transmitting fake credentials to a source of a response to a request for network configuration information. If the fake credentials are accepted or are subsequently used in an access attempt, then a MITM attack may be confirmed.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.

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.

Techniques are provided that facilitate responding to cyberattacks using counter intelligence (CI) bot technology. In one embodiment, a first system is disclosed that comprises a processor and a memory. The memory can store executable instructions that, when executed by the processor, facilitate performance of operations including receiving a request from a second system requesting assistance in association with a cyberattack on the second system, wherein the request comprises information indicating a type of the cyberattack. The operations further comprise selecting a counter intelligence bot configured to respond to the type of cyberattack, and directing the counter intelligence bot to respond to the cyberattack, wherein the directing comprises enabling the counter intelligence bot to respond to the cyberattack by establishing a gateway with the second system and employing the gateway to intercept and respond to traffic associated with the cyberattack on behalf of the second system.

Systems and methods for providing a threat intelligence system include a system provider device that downloads, through communication over a network and from one or more targeted websites, a plurality of images of a first environment. Based on an OCR process, the system provider device may extract a set of textual data corresponding to a subset of images of the plurality of images, where the subset of images depict text. The system provider device stores the set of textual data in an indexed and searchable database. The system provider device assigns a threat assessment score to each image based on the set of textual data, and the threat assessment score may be updated based on comparison of the set of textual data with other sets of textual data. Based on the threat assessment score being greater than a threshold value, the system provider device may generate a security alert.

In one embodiment, a device including a processor, and a memory to store data used by the processor, wherein the processor is operative to run a manufacturer usage description (MUD) controller operative to obtain a MUD profile of an Internet of Things (IoT) device from a MUD server, the MUD profile of the IoT device including: access rights of the IoT device, and any one or more of the following a default device username and/or a default device password of the IoT device, a recommended/required device password complexity of the IoT device, at least one service that should be enabled/disabled on the IoT device, and/or allowed security protocols and/or ciphers for communication to and/or from the IoT device, enforce security of the IoT device according to the MUD profile of the IoT device. Related apparatus and methods are also described.

In an embodiment, a method comprises intercepting, from a first computer, a first set of instructions that define one or more original operations, which are configured to cause one or more requests to be sent if executed by a client computer; modifying the first set of instructions to produce a modified set of instructions, which are configured to cause a credential to be included in the one or more requests sent if executed by the client computer; rendering a second set of instructions comprising the modified set of instructions and one or more credential-morphing-instructions, wherein the one or more credential-morphing-instructions define one or more credential-morphing operations, which are configured to cause the client computer to update the credential over time if executed; sending the second set of instructions to a second computer.