In Depth

Image Spam: By the Numbers

How image spam dodges your email filters

By Scott Berinato

May 15, 2007 — CSO — Image Spaman e-mail solicitation that uses graphical images of text to avoid filtersis not new. Recently, though, it reached an unprecedented level of sophistication and took off. A year ago, fewer than five out of 100 e-mails were image spam, according to Doug Bowers of Symantec. Today, up to 40 percent are. Meanwhile, image spam is the reason spam traffic overall doubled in 2006, according to antispam company Borderware. It is expected to keep rising.

1. GIF Layering

Just as word splitting divides words into multiple images to elude spam filters (see number three), an image spam can be divided into multiple images. Like the transparent plastic overlays in Grays Anatomy, pieces of a message are layered to create a complete, legible message. In this rudimentary example, the spam is divided into three pieces (cut in the middle of letters for added obfuscation). But one message could comprise as many as a dozen layered GIFs.

2. Optical Character

Recognition Duping Optical character recognition (OCR) is the closest to sight that computers get. OCR works by measuring the geometry in images, searching for shapes that match the shapes of letters, then translating a matched geometric shape into real text. To defeat OCR, spammers upset the geometry of letters enoughby altering colors, for exampleso that OCR cant see a letter even as the human eye easily recognizes it. The effect is something like blurred characters in an eye test.

3. Word Splitting and Ransom Notes

If OCR catches up to the color tricks in image spam, a spammers next defense is word splitting. By dividing the image and leaving space in between the pieces, any image the OCR engine is examining is only a piece of a letter with its own distinct geometry. Instead of word splitting, some spammers have employed a ransom note technique in which each letter in the spam message is its own image, and each letter image includes background noise and other baffling techniques. A program cobbles together randomized letter images to make words. The effect looks like a classic ransom note with a mishmash of letters cut out from magazines.

4. Geometric Variance

Many filters can intercept mass mailings based on their sameness. Images, though, can be altered easily without disturbing the message inside them. Thus one spam message will arrive as dozens of differently shaped images, and each time the colors of the text images will have changed, as will the randomly generated speckling and pixel and word salads. No two images are alike despite the fact that they carry similar messages. Shown are two radically different images containing the same stock tip. The technique is popular as a scheme to boost prices of low-value stocks. In March, the SEC suspended trading on 35 such stocks that were the subject of these image spam messages, including some whose prices rose.

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