Abstract: A system and method for locating DGA compromised IP addresses is provided. A domain name system (DNS) stream is received. The DNS stream is classified into DGA generated domains using a machine learning classifier to generate a classification output. User behavior profiling is performed to enhance the classification output. A verdict is generated based on the user behavior profiling of the classification output including identifying a compromised source IP address associated with a detected DGA malware attack.

Abstract: Techniques for unknown exploit detection using attack traffic analysis and real-time attack event streaming are disclosed. In some embodiments, a system/process/computer program product for exploit detection using attack traffic analysis and real-time attack event streaming includes receiving a stream that includes a plurality of attack events from a security platform at a cloud security service; generating a cluster of attack events from the stream; and tagging the cluster with an unknown attack pattern for further automated security analysis at the cloud security service, wherein the tagged unknown attack pattern cluster does not match a preexisting signature for a known attack pattern.

Abstract: A system and method for locating DGA compromised IP addresses is provided. A domain name system (DNS) stream is received. The DNS stream is classified into DGA generated domains using a machine learning classifier to generate a classification output. User behavior profiling is performed to enhance the classification output. A verdict is generated based on the user behavior profiling of the classification output including identifying a compromised source IP address associated with a detected DGA malware attack.

Abstract: A system and method for locating DGA compromised IP addresses is provided. A domain name system (DNS) stream is received. The DNS stream is classified into DGA generated domains using a machine learning classifier to generate a classification output. User behavior profiling is performed to enhance the classification output. A verdict is generated based on the user behavior profiling of the classification output including identifying a compromised source IP address associated with a detected DGA malware attack.

Abstract: A system and method for detecting dictionary-based DGA traffic is provided. A domain name system (DNS) stream is received. The DNS stream is classified using a per domain dictionary domain generation algorithm (DGA) classifier to generate candidate dictionary DGA domains with cluster information. The candidate dictionary DGA domains are filtered to generate a set of dictionary DGA domains. An action is performed based on a match with a monitored domain name of a monitored DNS request and a dictionary DGA domain of the set of dictionary DGA domains.