CWE-1241 - Use of Predictable Algorithm in Random Number Generator
CWE-1241
- Abstraction:
- Base
- Structure:
- Simple
- Status:
- Draft
- Weakness Name
Use of Predictable Algorithm in Random Number Generator
- Description
The device uses an algorithm that is predictable and generates a pseudo-random number.
Pseudo-random number generator algorithms are predictable because their registers have a finite number of possible states, which eventually lead to repeating patterns. As a result, pseudo-random number generators (PRNGs) can compromise their randomness or expose their internal state to various attacks, such as reverse engineering or tampering. It is highly recommended to use hardware-based true random number generators (TRNGs) to ensure the security of encryption schemes. TRNGs generate unpredictable, unbiased, and independent random numbers because they employ physical phenomena, e.g., electrical noise, as sources to generate random numbers.
- Common Consequences
Scope: Confidentiality
Impact: Read Application Data
- Related Weaknesses
- Release Date:
- 2020-02-24
- Latest Modification Date:
- 2023-10-26
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