Generation of Predictable Numbers or Identifiers
The product uses a scheme that generates numbers or identifiers that are more predictable than required.
Demonstrations
The following examples help to illustrate the nature of this weakness and describe methods or techniques which can be used to mitigate the risk.
Note that the examples here are by no means exhaustive and any given weakness may have many subtle varieties, each of which may require different detection methods or runtime controls.
Example One
This code generates a unique random identifier for a user's session.
Because the seed for the PRNG is always the user's ID, the session ID will always be the same. An attacker could thus predict any user's session ID and potentially hijack the session.
This example also exhibits a Small Seed Space (CWE-339).
See Also
Weaknesses in this category are related to randomness.
Weaknesses in this category are related to the A02 category "Cryptographic Failures" in the OWASP Top Ten 2021.
This category identifies Software Fault Patterns (SFPs) within the Predictability cluster.
This view (slice) covers all the elements in CWE.
CWE entries in this view have maintenance notes. Maintenance notes are an indicator that an entry might change significantly in future versions. This view was created...
This view (slice) lists weaknesses that can be introduced during implementation.
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