CWE-1102 Detalhe

CWE-1102

Reliance on Machine-Dependent Data Representation
2019-01-03
00h00 +00:00
Incomplete
2026-10-28
00h00 +00:00
CWE Mitre.org
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Nome: Reliance on Machine-Dependent Data Representation

The code uses a data representation that relies on low-level data representation or constructs that may vary across different processors, physical machines, OSes, or other physical components.

Informações Gerais

Modos de Introdução

Implementation
Porting

Plataformas Aplicáveis

Linguagem

Classe: Not Language-Specific (Undetermined)

Consequências Comuns

Escopo Impacto Probabilidade
OtherReduce Maintainability

Nota: This issue makes it more difficult to maintain and/or port the product, which indirectly affects security by making it more difficult or time-consuming to find and/or fix vulnerabilities. It also might make it easier to introduce vulnerabilities.

Exemplos Observados

Referências Descrição

CVE-2025-47153

Chain: build process for JavaScript runtime environment can have inconsistent sizes for off_t (CWE-1102), allowing out-of-bounds access / segmentation fault (CWE-119)

Métodos de Detecção

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.)
Eficácia : High

Notas de Mapeamento de Vulnerabilidade

Justificativa : 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.
Comentário : 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.

Referências

REF-963

Providing a Framework for Effective Software Quality Assessment
Robert A. Martin, Lawrence H. Shafer.
https://www.researchgate.net/publication/285403022_PROVIDING_A_FRAMEWORK_FOR_EFFECTIVE_SOFTWARE_QUALITY_MEASUREMENT_MAKING_A_SCIENCE_OF_RISK_ASSESSMENT

Submissão

Nome Organização Data Data de lançamento Version
CWE Content Team MITRE 2018-07-02 +00:00 2019-01-03 +00:00 3.2

Modificações

Nome Organização Data Comentário
CWE Content Team MITRE 2020-02-24 +00:00 updated Relationships
CWE Content Team MITRE 2023-01-31 +00:00 updated Description
CWE Content Team MITRE 2023-04-27 +00:00 updated Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2025-12-11 +00:00 updated Applicable_Platforms, Common_Consequences, Description, Time_of_Introduction
CWE Content Team MITRE 2026-04-30 +00:00 updated Observed_Examples
CWE Content Team MITRE 2026-10-28 +00:00 updated Detection_Factors
As informações apresentadas no CVE Find originam-se de várias fontes de referência cuidadosamente selecionadas. Os dados CVE são fornecidos pela MITRE Corporation e pelo National Vulnerability Database (NVD). O catálogo de Vulnerabilidades Conhecidas Exploradas (KEV) é proveniente da Cybersecurity and Infrastructure Security Agency (CISA), enquanto as pontuações EPSS vêm do FIRST.org. Além disso, os dados sobre fraquezas de software (CWE) e padrões de ataque comuns (CAPEC) são mantidos pela MITRE Corporation, e as informações sobre configurações de hardware e software (CPE) são fornecidas pelo NVD.