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added 2021/08/25 8:50 p.m.27 views

GHSA-M9M5-CG5H-R582 Improper random number generation in nanorand

In versions of nanorand prior to 0.5.1, RandomGen implementations for standard unsigned integers could fail to properly generate numbers, due to using bit-shifting to truncate a 64-bit number, rather than just an as conversion. This often manifested as RNGs returning nothing but 0, including the...

5.1CVSS9.4AI score0.01515EPSS
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