The software's random number generator produces a series of
					values which, when observed, can be used to infer a relatively small range of
					possibilities for the next value that could be generated.The output of a random number generator should not be predictable based on
						observations of previous values. In some cases, an attacker cannot predict
						the exact value that will be produced next, but can narrow down the
						possibilities significantly. This reduces the amount of effort to perform a
						brute force attack. For example, suppose the product generates random
						numbers between 1 and 100, but it always produces a larger value until it
						reaches 100. If the generator produces an 80, then the attacker knows that
						the next value will be somewhere between 81 and 100. Instead of 100
						possibilities, the attacker only needs to consider 20.