Methods, devices, and systems for determining whether a received user generated response key matches the generated first unique key, thereby providing an autonomous authentication system to verify the user. The validation computing system may use a unique key to associate with each request for authentication from a client and further validate that unique key. Additionally, the authentication may be validated as an added security measure by a webhost.

In one embodiment, a device in a network receives domain information from a plurality of traffic flows in the network. The device identifies a particular address from the plurality of traffic flows as part of an onion routing system based on the received domain information. The device distinguishes the particular address during analysis of the traffic flows by a traffic flow analyzer that includes a domain generation algorithm (DGA)-based traffic classifier. The device detects a malicious traffic flow from among the plurality of traffic flows using the traffic flow analyzer. The device causes performance of a mitigation action based on the detected malicious traffic flow.

In some examples, a system counts a number of digits in a domain name. The system compares a value based on the number of digits to a threshold, and indicates that the domain name is potentially generated by malware in response to the value having a specified relationship with respect to the threshold.

In some examples, for a device that transmitted domain names, a system determines a dissimilarity between the domain names, compares a value derived from the determined dissimilarity to a threshold, and identifies the device as malware infected in response to the comparing.

Methods and systems for generating stateful attacks for simulating and testing security infrastructure readiness. Attack templates descriptive of a plurality of attacks to be executed against one or more targets are defined. The attack templates are processed to compile a decision tree by traversing through a list of attack templates to create a logical tree with tree branches representing different execution paths through which attacks may be executed against the targets. During attack simulations and/or testing, single and/or multi-stage attacks are executed against targets, wherein attack sequences are dynamically determined using the execution paths in the decision tree in view of real-time results. The attacks may be executed against various types of targets, including target in existing security infrastructures and simulated targets. Moreover, the attacks may originate from computer systems within security infrastructures or remotely using computer systems external to the security infrastructures.

In some examples, a system identifies, in a domain name, n-grams that do not appear in words of a given language, where n is greater than two. The system compares a value based on a number of the identified n-grams to a threshold, and indicates that the domain name is potentially generated by malware in response to the value having a specified relationship with respect to the threshold.

A bot characteristic detection method and apparatus, where the apparatus obtains a first dynamic behavior file and a second dynamic behavior file, where the first dynamic behavior file is a behavior file resulting from dynamic behavior detection performed on a malicious file in a first sandbox, and the second dynamic behavior file is a behavior file resulting from dynamic behavior detection performed on the malicious file in a second sandbox. The apparatus determines a bot characteristic of the malicious file based on a common characteristic of the first dynamic behavior file and the second dynamic behavior file.

A system and method for bot detection utilizing storage variables are presented. The storage variables generated is used to analyze user behavior and distinguish human traffic from bot traffic. The system for detecting bot traffic using storage variables includes a client application, a computer network, a bot detector, a bot computer, a storage variable generator, and a server. The client device enables a user to access information through the client application. The storage variable generator is configured to generates a plurality of storage variables including counter storage variable. The bot detector analyses the presence of bots in incoming traffic.

Methods, systems, and computer program products for performing passive and active identity verification in association with online communications. For example, a computer-implemented method may include receiving one or more electronic messages associated with a user account, analyzing the electronic messages based on a plurality of identity verification profiles associated with the user account, generating an identity trust score associated with the electronic messages based on the analyzing, determining whether to issue a security challenge in response to the electronic messages based on the generated identity trust score, and issuing the security challenge in response to the electronic messages based on the determining.

A method and system for runtime detection of botnets in containerized environments. The method includes creating a domain name system (DNS) policy for a software container, wherein the DNS policy defines at least a plurality of allowed domain names for the software container, wherein the DNS policy is created based on historical DNS queries by the software container; detecting a botnet based on traffic to and from the software container, wherein the botnet is detected when at least a portion of the traffic does not comply with the DNS policy, wherein the botnet is implemented via communication with a bot executed in the software container; and blocking at least one DNS query in the at least a portion of traffic, wherein each blocked DNS query is to a domain having a domain name that does not match any of the plurality of allowed domain names for the software container.