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Winning the Battle Against Image-based Spam |
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In an attempt to bypass less sophisticated spam filters, an increasing amount of spam is now being sent with the spam "payload" contained in an attached image, often accompanied by randomized text. Mounting an effective defense against image-based spam requires detection techniques that can evolve as quickly as the attacks. Without the ability to automatically adapt to detect new types of threats, an anti-spam solution will always be a step behind the spammers.
- Traditional spam detection technologies and why they fail to detect image- based spam
- Techniques spammers use in image-based spam campaigns to confuse filters
- The relationship between rising inbound email volumes and spam filter effectiveness
- Proofpoint MLX™ technology which leverages machine learning techniques to identify the newest spam attacks without manual tuning or admin intervention
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