CWE-665 Detail

CWE-665

Improper Initialization
MEDIUM
Draft
2008-04-11 00:00 +00:00
2024-02-29 00:00 +00:00

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Improper Initialization

The product does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used.

Extended Description

This can have security implications when the associated resource is expected to have certain properties or values, such as a variable that determines whether a user has been authenticated or not.

Informations

Modes Of Introduction

Implementation : This weakness can occur in code paths that are not well-tested, such as rare error conditions. This is because the use of uninitialized data would be noticed as a bug during frequently-used functionality.
Operation

Applicable Platforms

Language

Class: Not Language-Specific (Undetermined)

Common Consequences

Scope Impact Likelihood
ConfidentialityRead Memory, Read Application Data

Note: When reusing a resource such as memory or a program variable, the original contents of that resource may not be cleared before it is sent to an untrusted party.
Access ControlBypass Protection Mechanism

Note: If security-critical decisions rely on a variable having a "0" or equivalent value, and the programming language performs this initialization on behalf of the programmer, then a bypass of security may occur.
AvailabilityDoS: Crash, Exit, or Restart

Note: The uninitialized data may contain values that cause program flow to change in ways that the programmer did not intend. For example, if an uninitialized variable is used as an array index in C, then its previous contents may produce an index that is outside the range of the array, possibly causing a crash or an exit in other environments.

Observed Examples

Reference Description
CVE-2001-1471chain: an invalid value prevents a library file from being included, skipping initialization of key variables, leading to resultant eval injection.
CVE-2008-3637Improper error checking in protection mechanism produces an uninitialized variable, allowing security bypass and code execution.
CVE-2008-4197Use of uninitialized memory may allow code execution.
CVE-2008-2934Free of an uninitialized pointer leads to crash and possible code execution.
CVE-2007-3749OS kernel does not reset a port when starting a setuid program, allowing local users to access the port and gain privileges.
CVE-2008-0063Product does not clear memory contents when generating an error message, leading to information leak.
CVE-2008-0062Lack of initialization triggers NULL pointer dereference or double-free.
CVE-2008-0081Uninitialized variable leads to code execution in popular desktop application.
CVE-2008-3688chain: Uninitialized variable leads to infinite loop.
CVE-2008-3475chain: Improper initialization leads to memory corruption.
CVE-2008-5021Composite: race condition allows attacker to modify an object while it is still being initialized, causing software to access uninitialized memory.
CVE-2005-1036Chain: Bypass of access restrictions due to improper authorization (CWE-862) of a user results from an improperly initialized (CWE-909) I/O permission bitmap
CVE-2008-3597chain: game server can access player data structures before initialization has happened leading to NULL dereference
CVE-2009-2692chain: uninitialized function pointers can be dereferenced allowing code execution
CVE-2009-0949chain: improper initialization of memory can lead to NULL dereference
CVE-2009-3620chain: some unprivileged ioctls do not verify that a structure has been initialized before invocation, leading to NULL dereference

Potential Mitigations

Phases : Requirements

Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.

For example, in Java, if the programmer does not explicitly initialize a variable, then the code could produce a compile-time error (if the variable is local) or automatically initialize the variable to the default value for the variable's type. In Perl, if explicit initialization is not performed, then a default value of undef is assigned, which is interpreted as 0, false, or an equivalent value depending on the context in which the variable is accessed.


Phases : Architecture and Design
Identify all variables and data stores that receive information from external sources, and apply input validation to make sure that they are only initialized to expected values.
Phases : Implementation
Explicitly initialize all your variables and other data stores, either during declaration or just before the first usage.
Phases : Implementation
Pay close attention to complex conditionals that affect initialization, since some conditions might not perform the initialization.
Phases : Implementation
Avoid race conditions (CWE-362) during initialization routines.
Phases : Build and Compilation
Run or compile your product with settings that generate warnings about uninitialized variables or data.
Phases : Testing
Use automated static analysis tools that target this type of weakness. Many modern techniques use data flow analysis to minimize the number of false positives. This is not a perfect solution, since 100% accuracy and coverage are not feasible.

Detection Methods

Automated Dynamic Analysis

This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results.

Initialization problems may be detected with a stress-test by calling the software simultaneously from a large number of threads or processes, and look for evidence of any unexpected behavior. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results.


Effectiveness : Moderate

Manual Dynamic Analysis

Identify error conditions that are not likely to occur during normal usage and trigger them. For example, run the program under low memory conditions, run with insufficient privileges or permissions, interrupt a transaction before it is completed, or disable connectivity to basic network services such as DNS. Monitor the software for any unexpected behavior. If you trigger an unhandled exception or similar error that was discovered and handled by the application's environment, it may still indicate unexpected conditions that were not handled by the application itself.

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

Vulnerability Mapping Notes

Rationale : This CWE entry is a level-1 Class (i.e., a child of a Pillar). It might have lower-level children that would be more appropriate
Comments : Examine children of this entry to see if there is a better fit

Related Attack Patterns

CAPEC-ID Attack Pattern Name
CAPEC-26 Leveraging Race Conditions
The adversary targets a race condition occurring when multiple processes access and manipulate the same resource concurrently, and the outcome of the execution depends on the particular order in which the access takes place. The adversary can leverage a race condition by "running the race", modifying the resource and modifying the normal execution flow. For instance, a race condition can occur while accessing a file: the adversary can trick the system by replacing the original file with their version and cause the system to read the malicious file.
CAPEC-29 Leveraging Time-of-Check and Time-of-Use (TOCTOU) Race Conditions
This attack targets a race condition occurring between the time of check (state) for a resource and the time of use of a resource. A typical example is file access. The adversary can leverage a file access race condition by "running the race", meaning that they would modify the resource between the first time the target program accesses the file and the time the target program uses the file. During that period of time, the adversary could replace or modify the file, causing the application to behave unexpectedly.

References

REF-436

Exploiting Uninitialized Data
mercy.
http://www.felinemenace.org/~mercy/papers/UBehavior/UBehavior.zip

REF-437

MS08-014 : The Case of the Uninitialized Stack Variable Vulnerability
Microsoft Security Vulnerability Research & Defense.
https://msrc.microsoft.com/blog/2008/03/ms08-014-the-case-of-the-uninitialized-stack-variable-vulnerability/

REF-62

The Art of Software Security Assessment
Mark Dowd, John McDonald, Justin Schuh.

Submission

Name Organization Date Date Release Version
PLOVER 2008-04-11 +00:00 2008-04-11 +00:00 Draft 9

Modifications

Name Organization Date Comment
Sean Eidemiller Cigital 2008-07-01 +00:00 added/updated demonstrative examples
Eric Dalci Cigital 2008-07-01 +00:00 updated Potential_Mitigations, Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2008-11-24 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2009-01-12 +00:00 updated Common_Consequences, Demonstrative_Examples, Description, Likelihood_of_Exploit, Modes_of_Introduction, Name, Observed_Examples, Potential_Mitigations, References, Relationships, Weakness_Ordinalities
CWE Content Team MITRE 2009-03-10 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2009-05-27 +00:00 updated Description, Relationships
CWE Content Team MITRE 2009-07-27 +00:00 updated Related_Attack_Patterns
CWE Content Team MITRE 2009-10-29 +00:00 updated Common_Consequences
CWE Content Team MITRE 2010-02-16 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2010-04-05 +00:00 updated Applicable_Platforms
CWE Content Team MITRE 2010-06-21 +00:00 updated Detection_Factors, Potential_Mitigations
CWE Content Team MITRE 2010-09-27 +00:00 updated Observed_Examples
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences, Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2011-09-13 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2012-05-11 +00:00 updated Demonstrative_Examples, References, Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2013-02-21 +00:00 updated Demonstrative_Examples, Relationships
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2015-12-07 +00:00 updated Relationships
CWE Content Team MITRE 2017-01-19 +00:00 updated Type
CWE Content Team MITRE 2017-11-08 +00:00 updated References, Taxonomy_Mappings
CWE Content Team MITRE 2019-01-03 +00:00 updated Related_Attack_Patterns, Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2019-06-20 +00:00 updated Relationships
CWE Content Team MITRE 2020-02-24 +00:00 updated Relationships
CWE Content Team MITRE 2020-06-25 +00:00 updated Relationships
CWE Content Team MITRE 2020-08-20 +00:00 updated Relationships
CWE Content Team MITRE 2020-12-10 +00:00 updated Relationships
CWE Content Team MITRE 2021-03-15 +00:00 updated Observed_Examples
CWE Content Team MITRE 2023-01-31 +00:00 updated Description, Potential_Mitigations, Relationships
CWE Content Team MITRE 2023-04-27 +00:00 updated Detection_Factors, References, Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2023-10-26 +00:00 updated Relationships
CWE Content Team MITRE 2024-02-29 +00:00 updated Mapping_Notes
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