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A hash is a condensed, unique reduction of something else, such as a binary data set. However, if we hash many sets of data, there may be duplicate hash outputs from different input data sets.

This no-longer-unique output has been subject to a

A

collision.

B

overlap.

C

stamping.

D

overwrite.

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