结构: Simple
Abstraction: Variant
状态: Draft
被利用可能性: unkown
A PRNG uses a relatively small space of seeds.
cwe_Nature: ChildOf cwe_CWE_ID: 335 cwe_View_ID: 1000 cwe_Ordinal: Primary
cwe_Nature: ChildOf cwe_CWE_ID: 335 cwe_View_ID: 699 cwe_Ordinal: Primary
cwe_Nature: PeerOf cwe_CWE_ID: 341 cwe_View_ID: 1000
Language: {'cwe_Class': 'Language-Independent', 'cwe_Prevalence': 'Undetermined'}
范围 | 影响 | 注释 |
---|---|---|
Other | Varies by Context |
策略:
Use well vetted pseudo-random number generating algorithms with adequate length seeds. Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a "random enough" number.
策略: Libraries or Frameworks
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").
映射的分类名 | ImNode ID | Fit | Mapped Node Name |
---|---|---|---|
PLOVER | Small Seed Space in PRNG |