10. The method of claim 1 , wherein: step (b) includes identifying one or more words that are likely misspelled; step (c) includes replacing one or more words that are likely misspelled with one or more words that were likely intended if the one or more words were correctly spelled, when producing the deobfuscated text; step (d) includes searching the deobfuscated text for words and phrases that are known to be used in spam; step (e) includes comparing the deobuscated text to text of one or more other messages known to be spam to determine a degree of sameness; step (f) includes taking into account whether one or more word that is likely misspelled is a word or is part of a phrase that is known to be used in spam, when determining the probability that the message is spam; and also taking into account the degree of sameness when determining the probability that the message is spam.
10. The method of claim 1 , wherein: step (b) includes identifying one or more words that are likely misspelled; step (c) includes replacing one or more words that are likely misspelled with one or more words that were likely intended if the one or more words were correctly spelled, when producing the deobfuscated text; step (d) includes searching the deobfuscated text for words and phrases that are known to be used in spam; step (e) includes comparing the deobuscated text to text of one or more other messages known to be spam to determine a degree of sameness; step (f) includes taking into account whether one or more word that is likely misspelled is a word or is part of a phrase that is known to be used in spam, when determining the probability that the message is spam; and also taking into account the degree of sameness when determining the probability that the message is spam. 11. The method of claim 10 , wherein step (f) includes determining that words that are likely being misspelled are known to be used in spam is used to increase the probability that the message is spam.