CWE-115 Details

The product misinterprets an input, whether from an attacker or another product, in a security-relevant fashion.

Einführungsmodi

Architecture and Design
Implementation

Anwendbare Plattformen

Sprache

Class: Not Language-Specific (Undetermined)

Häufige Konsequenzen

Beobachtete Beispiele

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 at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Kommentar : 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.

Hinweise

This concept needs further study. It is likely a factor in several weaknesses, possibly resultant as well. Overlaps Multiple Interpretation Errors (MIE).

Einreichung

Änderungen