CWE-1102: 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.
How it's found
Reliance on Machine-Dependent Data Representation is typically found by tracing untrusted input from where it enters the system to the point where it is used without the check or neutralization this weakness describes, combining manual code review with dynamic testing.
Consequences
- Reduce Maintainability: 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.
Where this fits in a TurboPentest engagement
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
Frequently asked questions
What is CWE-1102?
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.
How do you find Reliance on Machine-Dependent Data Representation?
Reliance on Machine-Dependent Data Representation is typically found by tracing untrusted input from where it enters the system to the point where it is used without the check or neutralization this weakness describes, combining manual code review with dynamic testing.
What is the impact of CWE-1102?
Reduce Maintainability: 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.
Does TurboPentest test for Reliance on Machine-Dependent Data Representation?
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
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