名稱: Incorrect Type Conversion or Cast
The product does not correctly convert an object, resource, or structure from one type to a different type.
一般資訊
引入方式
Implementation適用平台
程式語言
名稱： C (Often)名稱： C++ (Often)
類別： Not Language-Specific (Undetermined)
類別： Memory-Unsafe (Undetermined)
技術
類別： Not Technology-Specific (Undetermined)常見後果
| 範圍 | 影響 | 可能性 |
|---|---|---|
| Other | Other |
觀察到的案例
| 參考資料 | 描述 |
|---|---|
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) |
偵測方法
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.有效性 : High
漏洞對應備注
理由說明 : This CWE entry is a Class and might have Base-level children that would be more appropriate備註 : Examine children of this entry to see if there is a better fit
參考資料
REF-961
Automated Source Code Reliability Measure (ASCRM)Object Management Group (OMG).
http://www.omg.org/spec/ASCRM/1.0/
REF-1534
Automated Technical Debt Measure, Version 2OMG.
https://www.omg.org/spec/ATDM2/1.0/PDF
提交
| 名稱 | 機構 | 日期 | 發布日期 | Version |
|---|---|---|---|---|
| CWE Content Team | MITRE | 1.0 |
修改記錄
| 名稱 | 機構 | 日期 | 備註 |
|---|---|---|---|
| Eric Dalci | Cigital | updated Time_of_Introduction | |
| CWE Content Team | MITRE | updated Relationships, Taxonomy_Mappings | |
| CWE Content Team | MITRE | updated Description | |
| CWE Content Team | MITRE | updated Common_Consequences, Relationships | |
| CWE Content Team | MITRE | updated Relationships, Taxonomy_Mappings | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships, Taxonomy_Mappings | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Applicable_Platforms, Taxonomy_Mappings | |
| CWE Content Team | MITRE | updated References, Relationships, Taxonomy_Mappings | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Relationships | |
| CWE Content Team | MITRE | updated Description | |
| CWE Content Team | MITRE | updated Detection_Factors, Relationships, Time_of_Introduction | |
| CWE Content Team | MITRE | updated Mapping_Notes | |
| CWE Content Team | MITRE | updated Demonstrative_Examples, Observed_Examples | |
| CWE Content Team | MITRE | updated Observed_Examples | |
| CWE Content Team | MITRE | updated Applicable_Platforms, Weakness_Ordinalities | |
| CWE Content Team | MITRE | updated Demonstrative_Examples, Dimensions, References, Relationships |
