16 June 2005

 

Over 100,000 Sources of Spam and Other Malware Detected in Any Given Hour

Mail-Filters.com, Inc. is theglobal leader in OEM anti-spam solutions providing technology for its OEMpartners filtering billions of messages a day in more than 100 countries and30 languages. Mail-Filters noted that last week the number of unique, active,significant spam sources averaged 103,967 hourly. "It must be stressed, however, that these sources are just the tip of theiceberg," says Ben Westbrook, CEO of Mail-Filters. "The number of machinesdetected sending any spam is significantly larger. Given that the typicalnumber of spammers in any given hour is in the hundreds, we can say that thevast majority of these machines are hijacked. Not only that, this is a onehour snapshot of spammers sending messages to our partners' customers. You caneasily see that millions of computers continue to be hijacked for the purposeof sending spam and phish." Mr. Westbrook continued: "The real problem isthat the IP addresses of these innocent hijacked computers get on blacklistsused by some spam filters. Any legitimate mail from these addresses runs therisk of being stopped, driving up those filters' false positive rates andpreventing legitimate mail from being delivered to a business associate,customer, or partner." Mail-Filters described in February 2005 the problem with Trojans and theimpact they are having in the email space. Mail-Filters technology is one ofthe few anti-spam technologies available in the industry that is not impactedby these Trojans. Nevertheless, since most spam filters are fooled by thistactic, spammers and phishers continued to find more effective ways ofhijacking computers for the purpose of sending spam and phishing messages.This latest data shows the practice is still going strong. Mail-Filters' anti-spam filtering technology catches both spam andphishing messages. It combines two proprietary weapons: the Bullet SignatureDatabase created and maintained by both technology and human editors, and theSTAR Engine that detects spammer tricks. This approach allows it to catch newtypes of spam, including phishing, embedded content, HTML, and foreignlanguage spam. The result is a catch rate of more than 95% with less than 1 in1,000,000 false positives.

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