Patent classifications
H04L61/3015
Methods and systems for identifying malware enabled by automatically generated domain names
Computerized methods and systems identify malware enabled by automatically generated domain names. An agent executes a malware, in a controlled environment, at a first temporal input value and a second temporal input value. A first set of domain names is generated in response to the execution at the first temporal input value. A second set of domain names is generated in response to the execution at the second temporal input value. The agent compares the first set of domain names with the second set of domain names to produce a comparison output metric.
Large network simulation
Systems, methods, and apparatuses are described for simulating a network. Interrogations directed to hosts in the simulated network may be received. For some interrogations, data objects may be instantiated to simulate the interrogated hosts by, e.g., providing responses to low-level network commands. One or more characteristics of a simulated host may be determined randomly or pseudo-randomly.
Large network simulation
Systems, methods, and apparatuses are described for simulating a network. Interrogations directed to hosts in the simulated network may be received. For some interrogations, data objects may be instantiated to simulate the interrogated hosts by, e.g., providing responses to low-level network commands. One or more characteristics of a simulated host may be determined randomly or pseudo-randomly.
Domain name registration and management
A method for synchronizing management of a plurality of domain names in a Domain Name System (DNS). The method comprises the following steps: receiving a request from a domain name registrant for an action as an operation on an object unique to a domain name of the DNS, the domain name having synchronized objects with another domain name being stored as a domain name bundle including the domain name in a domain name database; changing the object in the domain name database according to the action; identifying the another domain name in the domain name bundle; requesting a change to a corresponding object to the object for the another domain name with the action in order to propagate the operation performed on the object to the corresponding object, the corresponding object being unique to the another domain name; and forwarding a reported result of the action to the domain name registrant, the object and the corresponding object representing the synchronized objects by having the same parameter value, an owner to all domain names in the domain name bundle being the domain name registrant.
Domain name operation verification code generation and/or verification
System, apparatus, methods, and computer-readable medium for generating a verification code related to a registry operation request are provided. A verification process may be performed to determine if a verification request related to a registry operation is to be approved. If the request is to be approved, a verification code is generated that includes identifying information of a verification service provider and a code indicating that the request has been verified.
Alternate character set domain name suggestion and registration using translation and/or transliteration
Some embodiments provide domain name suggestions based on a user-provided ASCII phrase translated and/or transliterated into any of a number of supported non-English language character sets. To suggest non-English-language domain names, some embodiments parse, translate, and transliterate the user-provided ASCII names into domain names that include at least one non-English language character. Moreover, some embodiments determine the DNS registration status (e.g., as a second-level domain) of the Punycode (in ASCII) corresponding to these non-English domain names and provide the user with the ability to register any that are unregistered.
Dynamic binding and load determination in a content delivery network (CDN)
A content provider has a plurality of content provider domain names, and a content delivery network (CDN) allocates a plurality of CDN domain names to the particular content provider. The content provider domain names are mapped to the CDN domain names. CDN domain names are bound to corresponding CDN clusters. The binding of the of CDN domain names to corresponding CDN clusters is modified.
Client device based solution for handling MAC randomization
A system and method are provided for a network device for use with a client device having a hostname and a MAC address. The network device contains a memory that has a second hostname and a second MAC address stored within the memory. The second MAC address corresponds to the second hostname. The memory also contains a processor configured to execute instructions stored on the memory to cause the network device to: receive, from the client device, the hostname and the MAC address; determine whether the MAC address is randomized; provide an instruction to the client device to inform a user of the client device that the client device hostname is registered when the hostname matches the second hostname and the MAC address is randomized.
Client device based solution for handling MAC randomization
A system and method are provided for a network device for use with a client device having a hostname and a MAC address. The network device contains a memory that has a second hostname and a second MAC address stored within the memory. The second MAC address corresponds to the second hostname. The memory also contains a processor configured to execute instructions stored on the memory to cause the network device to: receive, from the client device, the hostname and the MAC address; determine whether the MAC address is randomized; provide an instruction to the client device to inform a user of the client device that the client device hostname is registered when the hostname matches the second hostname and the MAC address is randomized.
Machine learning techniques for internet protocol address to domain name resolution systems
An IP-to-Domain (IP2D) resolution system predicts which domain is most likely associated with an IP address. The resolution system generates unique source vote features (FSV) from (IP, domain, source) data. The FSV features are used to train a computer learning model that predicts which domain is most likely associated with an IP address. The domain predictions can then be used to more efficiently process events, more accurately calculate consumption scores, and more accurately detect associated company surges.