Spammers using common file formats as attachments for pump-and-dump scams
This white paper explains what makes spam such an unbearable problem and how spamming tactics are evolving daily to beat anti-spam software. In the space of two months, spammers have switched from image spam to using PDF, Excel and ZIP file attachments. By using these attachments to send images instead of embedding them in the body of the email message, spammers have taken the cat-and-mouse game with anti-spam software developers to a new level.
At one point or another – like the majority of computer users – you have received emails that promise business deals worth millions of pounds, that try to sell products to improve your appearance or that try to convince that it’s worth investing your money in a particular company or stock. Dealing with spam (unsolicited email that is not targeted at specific individuals), is one problem that all email users share in common. Research shows that between 65% and 90% of all email received is considered spam.
On an individual user basis, spam is annoying; it is a waste of time and often contains spyware, malware and even pornography. On a company-wide basis, the same threats apply however there is also the financial cost to manage spam that must be taken into consideration.
The evolution of spam
Until a while ago, spam was the domain of text- or html-based emails. For anonymous delivery, these messages traditionally relied on abusing open SMTP relays. When open SMTP relays became less common, spammers switched to proxy servers, dial-up services and more recently, hijacked computers. Spammers designed personalized template emails to deliver their messages and then made use of bulk mailing software for distribution.
To block spam, email service providers and companies often relied on keyword ‘detection’, and drew up a list of keywords that commonly appeared in most of the spam email. This list would often include keywords such as ‘viagra’ or ‘bank’. However, this method often blocked genuine email and adding more keywords simply resulted in more false positives which in turn blocked legitimate email. But spammers became smarter too, and they addressed keyword blocking by replacing keywords such as ‘viagra’ to ‘v1agra’.
Another attempt at blocking spam includes making use of blacklists that contain a list of IP addresses of known spammers or compromised hosts. However, these lists have to be constantly updated because spammers have learnt to counteract this by rapidly changing the origin of spam.
New trends: Dynamic Zombie botnets
Botnets can be defined as networks of compromised computers which can be controlled by a single master. The number of nodes (also known as zombies) of these botnets can run into millions and these machines make use of different software vulnerabilities to gain full access to the infected hosts and add it to their existing array of zombies. Computer hackers had long been using botnets to launch DoS (denial of service) attacks and distribute network hacking attacks. Computer criminals had also been using botnets for money-making schemes, such as stealing credit card information and scamming pay-per-click advertising companies.
Seeing huge potential in botnets, spammers started financing hackers to make use of zombie machines. Hackers were able to offer services such as renting of botnets for a few minutes or hours and collections of email recipients (spam lists). The anti-virus industry noticed correlations between the spam industry and botnets. Not only were malware writers allowing spammers to make use of their creations, but they were writing malicious code to specifically suit their needs. An unholy alliance had been created.
Image spam
By early 2006, most anti-spam vendors had added Bayesian filtering to their arsenal of spam blocking methods. The fight between spam and anti-spam looked like it was taking a positive turn. However, by the end of 2006, the nature of spam had totally shifted. Whereas spam had been mainly text based, this time spam started looking more graphic in nature. Spammers began making use of images to bypass text-based content filtering, simply by no longer using any text content. By making use of image spam, spammers were attacking the defenses of most anti-spam solutions; while the images displayed text messages to the end-users, the anti-spam software was only able to see pixels.Some email anti-spam solutions decided to go with OCR (Optical Character Recognition) to turn the images into text that the software could then use. However, spammers took their images to the next level. In an approach usually applied to CAPTCHA (an anti-spam solution that is used on web forums), they started fuzzing (including noise and distortions) images to make it even harder for the machine to recognize text. Although it is possible for the machine to read this text, the process is very CPU intensive – especially when it is handling multitudes of images every few seconds. Read the full article: Attachment Spam- the latest trend
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