Spotting Spam with Similarity Hashes

Many researchers have tried to find methods where they can hash a string and then compare the hashes. This allows content to be searched for and matched against to be represented in a hash form (and not in the original text). This makes it more efficient to store and to process. A good example is within a spam message, and where we receive two spam emails which only differ in the target’s contact name (taken from a real spam…