Abstract: Detection of squatting domains is disclosed. A set of new fully qualified domain names (FQDNs) is received. The set of new FQDNs is analyzed to detect domain squatting by identifying a subset of the new FQDNs as candidate squatting domains. The candidate squatting domains are distributed to a security device/service.

Abstract: Inline package name based supply chain attack detection and prevention is disclosed. An indication that a client device has made a request to a remote server for a package is received. A data appliance then performs an action responsive to the received indication. In an example implementation, the data appliance makes a determination of whether the request for the package is associated with a nonexisting package.

Abstract: A method and system for detecting shadowed domains is provided. New hostnames are collected for a predetermined period of time. Candidate shadowed domains are selected from the new hostnames. Classification of the candidate shadowed domains is performed based on a plurality of features relating to the candidate shadowed domains to output a set of identified shadowed domains. An action is performed based on the set of identified shadowed domains.

Abstract: Techniques for generating actionable indicators of compromise (IOCs) are disclosed. A set of potential sources for IOCs are received. One or more candidate IOCs are extracted from at least one source included in the set of potential sources. An actionable IOC is automatically identified from the one or more candidate IOCs. The actionable IOC is provided to a security enforcement service.

Abstract: Techniques for generating actionable indicators of compromise (IOCs) are disclosed. A set of potential sources for IOCs are received. One or more candidate IOCs are extracted from at least one source included in the set of potential sources. An actionable IOC is automatically identified from the one or more candidate IOCs. The actionable IOC is provided to a security enforcement service.

Abstract: Inline package name based supply chain attack detection and prevention is disclosed. An indication that a client device has made a request to a remote server for a package is received. A data appliance then performs an action responsive to the received indication. In an example implementation, the data appliance makes a determination of whether the request for the package is associated with a nonexisting package.

Abstract: Techniques for identifying and blocking domains used for NXNS-based distributed denial of service (DDos) attacks are disclosed. An analysis of DNS data is performed to identify a candidate attack domain associated with an NXNS attack. The candidate attack domain is confirmed as a confirmed attack domain based at least in part on a validation.

Abstract: Detection of algorithmically generated domains is disclosed. A DNS query is received. Markov Chain analysis is performed on a domain included in the received query. A determination of whether the received query implicates an algorithmically generated domain is made based at least in part on a result of the Markov Chain analysis.

Abstract: Detection of algorithmically generated domains is disclosed. A DNS query is received. Markov Chain analysis is performed on a domain included in the received query. A determination of whether the received query implicates an algorithmically generated domain is made based at least in part on a result of the Markov Chain analysis.

Abstract: The present application discloses a method, system, and computer system for determining whether a registered domain is malicious. The method includes that a newly registered domain is registered, applying a malicious domain detector in connection with determining whether the newly registered domain is malicious, and in response to determining that the newly registered domain is malicious, sending to a security entity an indication that the newly registered domain is malicious.

Abstract: The present application discloses a method, system, and computer system for identifying dangling records. The method includes obtaining a set of domains, determining whether a record associated with a domain comprised in the set of domains is dangling, and in response to determining that the record associated with the domain is dangling, providing, to a registrant, a notification that the record is dangling.

Abstract: The present application discloses a method, system, and computer system for predicting responses to DNS queries. The method includes receiving a DNS query comprising a subdomain portion and a root domain portion from a client device, determining whether to obtain target address information corresponding to the DNS from a predictive cache, in response to determining to obtain the target address information from the predictive cache, obtaining the target address information from the predictive cache, and providing the target address information to the client device.

Abstract: Detection of squatting domains is disclosed. A set of new fully qualified domain names (FQDNs) is received. The set of new FQDNs is analyzed to detect domain squatting by identifying a subset of the new FQDNs as candidate squatting domains. The candidate squatting domains are distributed to a security device/service.

Abstract: Techniques for generating actionable indicators of compromise (IOCs) are disclosed. A set of potential sources for IOCs are received. One or more candidate IOCs are extracted from at least one source included in the set of potential sources. An actionable IOC is automatically identified from the one or more candidate IOCs. The actionable IOC is provided to a security enforcement service.

Abstract: Detection of DNS tunneling traffic is disclosed. A DNS query comprising a subdomain portion and a root domain portion is received from a client device. A determination is made that the root domain portion received in the DNS query is associated with a malicious DNS tunneling root domain. A remedial action is taken in response to the determining.

Abstract: Detection of algorithmically generated domains is disclosed. A DNS query is received. Markov Chain analysis is performed on a domain included in the received query. A determination of whether the received query implicates an algorithmically generated domain is made based at least in part on a result of the Markov Chain analysis.