Shelltropy: hiding malicious shellcode via Shannon encoding

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The more predictable you are, the less you get detected

A technique of hiding malicious shellcode based on low-entropy via Shannon encoding.

Entropy is the measure of the randomness in a set of data (here: shellcode). The higher the entropy, the more random the data is. Shannon Entropy is an algorithm that will produce a result between 0 and 8, where 8 means there is no pattern in the data, thereby it's very random and 0 means data follows a pattern.

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