CWE-340: Generation of Predictable Numbers or Identifiers
Weakness ID: 340
Vulnerability Mapping:ALLOWEDThis CWE ID could be used to map to real-world vulnerabilities in limited situations requiring careful review
(with careful review of mapping notes)
Abstraction:
ClassClass - a weakness that is described in a very abstract fashion, typically independent of any specific language or technology. More specific than a Pillar Weakness, but more general than a Base Weakness. Class level weaknesses typically describe issues in terms of 1 or 2 of the following dimensions: behavior, property, and resource.
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Description
The product uses a scheme that generates numbers or identifiers that are more predictable than required.
Common Consequences
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
Varies by Context
Scope: Other
Relationships
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
Class - a weakness that is described in a very abstract fashion, typically independent of any specific language or technology. More specific than a Pillar Weakness, but more general than a Base Weakness. Class level weaknesses typically describe issues in terms of 1 or 2 of the following dimensions: behavior, property, and resource.
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.
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.
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.
Composite - a Compound Element that consists of two or more distinct weaknesses, in which all weaknesses must be present at the same time in order for a potential vulnerability to arise. Removing any of the weaknesses eliminates or sharply reduces the risk. One weakness, X, can be "broken down" into component weaknesses Y and Z. There can be cases in which one weakness might not be essential to a composite, but changes the nature of the composite when it becomes a vulnerability.
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
Demonstrative Examples
Example 1
This code generates a unique random identifier for a user's session.
(bad code)
Example Language: PHP
function generateSessionID($userID){
srand($userID); return rand();
}
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).
Selected Observed
Examples
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.
Product for administering PBX systems uses predictable identifiers and timestamps for filenames (CWE-340) which allows attackers to access files via direct request (CWE-425).
PRNG allows attackers to use the output of small PRNG requests to determine the internal state information, which could be used by attackers to predict future pseudo-random numbers.
Listening TCP ports are sequentially allocated, allowing spoofing attacks.
Memberships
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
Category - a CWE entry that contains a set of other entries that share a common characteristic.
(this CWE ID could be used to map to real-world vulnerabilities in limited situations requiring careful review)
Reason
Abstraction
Rationale
This CWE entry is a Class and might have Base-level children that would be more appropriate
Comments
Examine children of this entry to see if there is a better fit
Notes
Maintenance
As of CWE 4.5, terminology related to randomness, entropy, and
predictability can vary widely. Within the developer and other
communities, "randomness" is used heavily. However, within
cryptography, "entropy" is distinct, typically implied as a
measurement. There are no commonly-used definitions, even within
standards documents and cryptography papers. Future versions of
CWE will attempt to define these terms and, if necessary,
distinguish between them in ways that are appropriate for
different communities but do not reduce the usability of CWE for
mapping, understanding, or other scenarios.
Taxonomy
Mappings
Mapped Taxonomy Name
Node ID
Fit
Mapped Node Name
PLOVER
Predictability problems
WASC
11
Brute Force
References
[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.
Content
History
Submissions
Submission Date
Submitter
Organization
2006-07-19
(CWE Draft 3, 2006-07-19)
PLOVER
Modifications
Modification Date
Modifier
Organization
2024-07-16
(CWE 4.15, 2024-07-16)
CWE Content Team
MITRE
updated Relationships
2024-02-29
(CWE 4.14, 2024-02-29)
CWE Content Team
MITRE
updated Demonstrative_Examples
2023-10-26
CWE Content Team
MITRE
updated Observed_Examples
2023-06-29
CWE Content Team
MITRE
updated Mapping_Notes
2023-04-27
CWE Content Team
MITRE
updated Relationships
2021-10-28
CWE Content Team
MITRE
updated Relationships
2021-07-20
CWE Content Team
MITRE
updated Maintenance_Notes
2020-02-24
CWE Content Team
MITRE
updated Description, Name, Relationships
2012-05-11
CWE Content Team
MITRE
updated References, Relationships
2011-06-27
CWE Content Team
MITRE
updated Common_Consequences
2011-06-01
CWE Content Team
MITRE
updated Common_Consequences
2010-02-16
CWE Content Team
MITRE
updated Taxonomy_Mappings
2008-09-08
CWE Content Team
MITRE
updated Relationships, Taxonomy_Mappings
2008-07-01
Eric Dalci
Cigital
updated Time_of_Introduction
Previous Entry Names
Change Date
Previous Entry Name
2020-02-24
Predictability Problems
More information is available — Please edit the custom filter or select a different filter.
Description
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.
