Fuzzing With Constraints
Автор: Andreas Zeller
Загружено: 2022-08-09
Просмотров: 195
Fuzzing with Constraints
In previous chapters, we have seen how Grammar-Based Fuzzing allows us to efficiently generate myriads of syntactically valid inputs. However, there are semantic input features that cannot be expressed in a context-free grammar, such as
"X is the length of Y";
"X is an identifier previously declared"; or
"X should be longer than 4,096 bytes".
In this chapter, we show how the ISLa framework allows us to express such features as constraints added to a grammar. By having ISLa solve these constraints automatically, we produce inputs that are not only syntactically valid, but actually semantically valid. Furthermore, such constraints allow us to very precisely shape the inputs we want for testing.
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