CWE-343: Predictable Value Range from Previous Values
CWE版本: 4.18
更新日期: 2025-09-09
弱点描述
The product'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.
扩展描述
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.
常见后果
影响范围: Other
技术影响: Varies by Context
潜在缓解措施
描述: Increase the entropy used to seed a PRNG.
阶段: Architecture and Design Requirements
策略: Libraries or Frameworks
描述: 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").
阶段: Implementation
描述: Use a PRNG that periodically re-seeds itself using input from high-quality sources, such as hardware devices with high entropy. However, do not re-seed too frequently, or else the entropy source might block.
引入模式
| 阶段 | 说明 |
|---|---|
| Architecture and Design | - |
| Implementation | - |
适用平台
编程语言
分类映射
| 分类名称 | 条目ID | 条目名称 | 映射适配度 |
|---|---|---|---|
| PLOVER | - | Predictable Value Range from Previous Values | - |