CWE-704 Details

CWE-704

Incorrect Type Conversion or Cast
Incomplete
2008-09-09
00h00 +00:00
2025-12-11
00h00 +00:00
CWE Mitre.org
Benachrichtigungen für ein CWE
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Benachrichtigungen verwalten

Name: Incorrect Type Conversion or Cast

The product does not correctly convert an object, resource, or structure from one type to a different type.

Allgemeine Informationen

Einführungsmodi

Implementation

Anwendbare Plattformen

Sprache

Name: C (Often)
Name: C++ (Often)
Class: Not Language-Specific (Undetermined)
Class: Memory-Unsafe (Undetermined)

Technologien

Class: Not Technology-Specific (Undetermined)

Häufige Konsequenzen

Bereich Auswirkung Wahrscheinlichkeit
OtherOther

Beobachtete Beispiele

Referenzen Beschreibung

CVE-2021-43537

Chain: in a web browser, an unsigned 64-bit integer is forcibly cast to a 32-bit integer (CWE-681) and potentially leading to an integer overflow (CWE-190). If an integer overflow occurs, this can cause heap memory corruption (CWE-122)

CVE-2022-3979

Chain: data visualization program written in PHP uses the "!=" operator instead of the type-strict "!==" operator (CWE-480) when validating hash values, potentially leading to an incorrect type conversion (CWE-704)

Erkennungsmethoden

Fuzzing

Fuzz testing (fuzzing) is a powerful technique for generating large numbers of diverse inputs - either randomly or algorithmically - and dynamically invoking the code with those inputs. Even with random inputs, it is often capable of generating unexpected results such as crashes, memory corruption, or resource consumption. Fuzzing effectively produces repeatable test cases that clearly indicate bugs, which helps developers to diagnose the issues.
Wirksamkeit : High

Hinweise zur Schwachstellen-Zuordnung

Begründung : This CWE entry is a Class and might have Base-level children that would be more appropriate
Kommentar : Examine children of this entry to see if there is a better fit

Referenzen

REF-961

Automated Source Code Reliability Measure (ASCRM)
Object Management Group (OMG).
http://www.omg.org/spec/ASCRM/1.0/

Einreichung

Name Organisation Datum Veröffentlichungsdatum Version
CWE Content Team MITRE 2008-09-09 +00:00 2008-09-09 +00:00 1.0

Änderungen

Name Organisation Datum Kommentar
Eric Dalci Cigital 2008-07-01 +00:00 updated Time_of_Introduction
CWE Content Team MITRE 2008-11-24 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2009-05-27 +00:00 updated Description
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences, Relationships
CWE Content Team MITRE 2011-09-13 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2012-05-11 +00:00 updated 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 Relationships
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms, Taxonomy_Mappings
CWE Content Team MITRE 2019-01-03 +00:00 updated References, 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 2020-08-20 +00:00 updated Relationships
CWE Content Team MITRE 2020-12-10 +00:00 updated Relationships
CWE Content Team MITRE 2022-10-13 +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 Detection_Factors, Relationships, Time_of_Introduction
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2023-10-26 +00:00 updated Demonstrative_Examples, Observed_Examples
CWE Content Team MITRE 2024-02-29 +00:00 updated Observed_Examples
CWE Content Team MITRE 2025-12-11 +00:00 updated Applicable_Platforms, Weakness_Ordinalities
Die auf CVE Find präsentierten Informationen stammen aus mehreren sorgfältig ausgewählten Referenzquellen. CVE-Daten werden von der MITRE Corporation und der National Vulnerability Database (NVD) bereitgestellt. Der Katalog bekannter ausgenutzter Schwachstellen (KEV) stammt von der Cybersecurity and Infrastructure Security Agency (CISA), während EPSS-Scores von FIRST.org kommen. Darüber hinaus werden Daten zu Software-Schwachstellen (CWE) und häufigen Angriffsmustern (CAPEC) von der MITRE Corporation gepflegt, und Informationen zu Hardware- und Software-Konfigurationen (CPE) werden von der NVD bereitgestellt.