| Home > CWE List > CWE-338: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) (4.20) |
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Weakness ID: 338
Vulnerability Mapping:
ALLOWED
This CWE ID may be used to map to real-world vulnerabilities
Abstraction: Base Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource. |
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.
This table specifies different individual consequences
associated with the weakness. The Scope identifies the application security area that is
violated, while the Impact describes the negative technical impact that arises if an
adversary succeeds in exploiting this weakness. The Likelihood provides information about
how likely the specific consequence is expected to be seen relative to the other
consequences in the list. For example, there may be high likelihood that a weakness will be
exploited to achieve a certain impact, but a low likelihood that it will be exploited to
achieve a different impact.
| Impact | Details |
|---|---|
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Bypass Protection Mechanism |
Scope: Access Control
If a PRNG is used for authentication and authorization, such as a session ID or a seed for generating a cryptographic key, then an attacker may be able to easily guess the ID or cryptographic key and gain access to restricted functionality.
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| Phase(s) | Mitigation |
|---|---|
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Implementation |
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.
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This table shows the weaknesses and high level categories that are related to this
weakness. These relationships are defined as ChildOf, ParentOf, MemberOf and give insight to
similar items that may exist at higher and lower levels of abstraction. In addition,
relationships such as PeerOf and CanAlsoBe are defined to show similar weaknesses that the user
may want to explore.
Relevant to the view "Research Concepts" (View-1000)
| Nature | Type | ID | Name |
|---|---|---|---|
| ChildOf |
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330 | Use of Insufficiently Random Values |
Relevant to the view "Weaknesses for Simplified Mapping of Published Vulnerabilities" (View-1003)
| Nature | Type | ID | Name |
|---|---|---|---|
| ChildOf |
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330 | Use of Insufficiently Random Values |
Relevant to the view "Architectural Concepts" (View-1008)
| Nature | Type | ID | Name |
|---|---|---|---|
| MemberOf |
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1013 | Encrypt Data |
The different Modes of Introduction provide information
about how and when this
weakness may be introduced. The Phase identifies a point in the life cycle at which
introduction
may occur, while the Note provides a typical scenario related to introduction during the
given
phase.
| Phase | Note |
|---|---|
| Architecture and Design | |
| Implementation | REALIZATION: This weakness is caused during implementation of an architectural security tactic. |
This listing shows possible areas for which the given
weakness could appear. These
may be for specific named Languages, Operating Systems, Architectures, Paradigms,
Technologies,
or a class of such platforms. The platform is listed along with how frequently the given
weakness appears for that instance.
| Languages |
Class: Not Language-Specific (Undetermined Prevalence) |
| Technologies |
Class: Not Technology-Specific (Undetermined Prevalence) |
Example 1
Both of these examples use a statistical PRNG seeded with the current value of the system clock to generate a random number:
The random number functions used in these examples, rand() and Random.nextInt(), are not considered cryptographically strong. An attacker may be able to predict the random numbers generated by these functions. Note that these example also exhibit CWE-337 (Predictable Seed in PRNG).
Note: this is a curated list of examples for users to understand the variety of ways in which this weakness can be introduced. It is not a complete list of all CVEs that are related to this CWE entry.
| Reference | Description |
|---|---|
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PHP framework uses mt_rand() function (Marsenne Twister) when generating tokens
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Crypto product uses rand() library function to generate a recovery key, making it easier to conduct brute force attacks.
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Random number generator can repeatedly generate the same value.
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Web application generates predictable session IDs, allowing session hijacking.
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SSL library uses a weak random number generator that only generates 65,536 unique keys.
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| Ordinality | Description |
|---|---|
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Primary
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(where the weakness exists independent of other weaknesses)
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| Method | Details |
|---|---|
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Automated Static Analysis |
Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Effectiveness: High |
This MemberOf Relationships table shows additional CWE Categories and Views that
reference this weakness as a member. This information is often useful in understanding where a
weakness fits within the context of external information sources.
| Nature | Type | ID | Name |
|---|---|---|---|
| MemberOf | 884 | CWE Cross-section | |
| MemberOf | 905 | SFP Primary Cluster: Predictability | |
| MemberOf | 1170 | SEI CERT C Coding Standard - Guidelines 48. Miscellaneous (MSC) | |
| MemberOf | 1346 | OWASP Top Ten 2021 Category A02:2021 - Cryptographic Failures | |
| MemberOf | 1414 | Comprehensive Categorization: Randomness | |
| MemberOf | 1439 | OWASP Top Ten 2025 Category A04:2025 - Cryptographic Failures |
| Usage |
ALLOWED
(this CWE ID may be used to map to real-world vulnerabilities)
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| Reason | Acceptable-Use |
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Rationale |
This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities. |
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Comments |
Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction. |
Maintenance
| Mapped Taxonomy Name | Node ID | Fit | Mapped Node Name |
|---|---|---|---|
| CLASP | Non-cryptographic PRNG | ||
| CERT C Secure Coding | MSC30-C | CWE More Abstract | Do not use the rand() function for generating pseudorandom numbers |
| [REF-18] |
Secure Software, Inc.. "The CLASP Application Security Process". 2005.
<https://cwe.mitre.org/documents/sources/TheCLASPApplicationSecurityProcess.pdf>. (URL validated: 2024-11-17) |
| [REF-44] | Michael Howard, David LeBlanc and John Viega. "24 Deadly Sins of Software Security". "Sin 20: Weak Random Numbers." Page 299. McGraw-Hill. 2010. |
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