Weakness (CWE)
CWE-332: Insufficient Entropy in PRNG
The lack of entropy available for, or used by, a Pseudo-Random Number Generator (PRNG) can be a stability and security threat.
How to prevent it (3 mitigations)
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Architecture and Design, Requirements
Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").
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Implementation
Consider a PRNG that re-seeds itself as needed from high-quality pseudo-random output, such as hardware devices.
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Architecture and Design
When deciding which PRNG to use, look at its sources of entropy. Depending on what your security needs are, you may need to use a random number generator that always uses strong random data -- i.e., a random number generator that attempts to be strong but will fail in a weak way or will always provide some middle ground of protection through techniques like re-seeding. Generally, something that always provides a predictable amount of strength is preferable.
Source: MITRE CWE-332
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