CWE-338
Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
Description
The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.
{"xhtml:p":["When a non-cryptographic PRNG is used in a cryptographic context, it can expose the cryptography to certain types of attacks.","Often a pseudo-random number generator (PRNG) is not designed for cryptography. Sometimes a mediocre source of randomness is sufficient or preferable for algorithms that use random numbers. Weak generators generally take less processing power and/or do not use the precious, finite, entropy sources on a system. While such PRNGs might have very useful features, these same features could be used to break the cryptography."]}
Parent Weaknesses (ChildOf)
Common Consequences
Scope
Impact
Bypass Protection Mechanism
Potential Mitigations
Use functions or hardware which use a hardware-based random number generation for all crypto. This is the recommended solution. Use CyptGenRandom on Windows, or hw_rand() on Linux.
CVE-2021-3692PHP framework uses mt_rand() function (Marsenne Twister) when generating tokens
CVE-2009-3278Crypto product uses rand() library function to generate a recovery key, making it easier to conduct brute force attacks.
CVE-2009-3238Random number generator can repeatedly generate the same value.
CVE-2009-2367Web application generates predictable session IDs, allowing session hijacking.
CVE-2008-0166SSL library uses a weak random number generator that only generates 65,536 unique keys.
Applicable Platforms
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