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Spam message volumes have doubled over the past 12 months and
are expected to triple in the near future, so it is no wonder that end users
are seeing twice as much uncaught spam in their inboxes. While the email
filters are just as efficient as they were a year ago, they are dealing with
twice the volume. This situation is worsened by the recent emergence of image
spam. Through the BorderWare Security Network (BSN), it has been observed
that image spam currently accounts for at least 35% of overall spam volumes
and this trend is on the rise.
While image spam may look the same to an end user, spammers
use programs to automatically create and vary each image. This causes
messages to appear unique when received and processed by spam filters. The
randomness of the images effectively evades fingerprinting techniques, which
is designed to keep track of common message characteristics. More recent
developments have seen a rise in the use of rare or uncommon fonts rendered
in images with the intent of avoiding detection by OCR techniques. OCR is
designed to recognize the common font shapes and to decode the images into
text.
The downloadable white paper discusses why image spam is so difficult to
control and explains how the Borderware MXtreme suite of perimeter appliances
apply leading edge technologies to make significant reductions in image spam
threats.
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