Abstract: A system and method for detecting a first network of compromised computers in a second network of computers, comprising: collecting Domain Name System (DNS) data for the second network; examining the collected data relative to DNS data from known comprised and/or uncompromised computers in the second network; and determining the existence of the first network and/or the identity of compromised computers in the second network based on the examination.

Abstract: A system and method for detecting a first network of compromised computers in a second network of computers, comprising: collecting Domain Name System (DNS) data for the second network; examining the collected data relative to DNS data from known comprised and/or uncompromised computers in the second network; and determining the existence of the first network and/or the identity of compromised computers in the second network based on the examination.

Abstract: Collect Domain Name System (DNS) data, the DNS data generated by a DNS server and/or similar device, wherein the DNS data comprises DNS queries, wherein the collected DNS data comprises DNS query rate information. Examine the collected DNS data relative to DNS data from known compromised and/or uncompromised computers. Determine an existence of the collection of compromised networks and/or computers, and/or an identity of compromised networks and/or computers, based on the examination.

Abstract: A system and method for detecting a first network of compromised computers in a second network of computers, comprising: collecting Domain Name System (DNS) data for the second network; examining the collected data relative to DNS data from known comprised and/or uncompromised computers in the second network; and determining the existence of the first network and/or the identity of compromised computers in the second network based on the examination.

Abstract: According to an aspect of this invention, a method to detect phishing URLs involves: creating a whitelist of URLs using a first regular expression; creating a blacklist of URLs using a second regular expression; comparing a URL to the whitelist; and if the URL is not on the whitelist, comparing the URL to the blacklist. False negatives and positives may be avoided by classifying Internet domain names for the target organization as “legitimate”. This classification leaves a filtered set of URLs with unknown domain names which may be more closely examined to detect a potential phishing URL. Valid domain names may be classified without end-user participation.

Abstract: A system and method for detecting a first network of compromised computers in a second network of computers, comprising: collecting Domain Name System (DNS) data for the second network; examining the collected data relative to DNS data from known comprised and/or uncompromised computers in the second network; and determining the existence of the first network and/or the identity of compromised computers in the second network based on the examination.

Abstract: According to an aspect of this invention, a method to detect phishing URLs involves: creating a whitelist of URLs using a first regular expression; creating a blacklist of URLs using a second regular expression; comparing a URL to the whitelist; and if the URL is not on the whitelist, comparing the URL to the blacklist. False negatives and positives may be avoided by classifying Internet domain names for the target organization as “legitimate”. This classification leaves a filtered set of URLs with unknown domain names which may be more closely examined to detect a potential phishing URL. Valid domain names may be classified without end-user participation.

Abstract: According to an aspect of this invention, a method to detect phishing URLs involves: creating a whitelist of URLs using a first regular expression; creating a blacklist of URLs using a second regular expression; comparing a URL to the whitelist; and if the URL is not on the whitelist, comparing the URL to the blacklist. False negatives and positives may be avoided by classifying Internet domain names for the target organization as “legitimate”. This classification leaves a filtered set of URLs with unknown domain names which may be more closely examined to detect a potential phishing URL. Valid domain names may be classified without end-user participation.

Abstract: A system and method for detecting a first network of compromised computers in a second network of computers, comprising: collecting Domain Name System (DNS) data for the second network; examining the collected data relative to DNS data from known comprised and/or uncompromised computers in the second network; and determining the existence of the first network and/or the identity of compromised computers in the second network based on the examination.