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Jean-Marie 'Histausse' Mineau 2025-09-30 03:05:07 +02:00
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@ -6,7 +6,7 @@ In this chapter, we presented a set of transformations to apply to an applicatio
We also presented a dynamic analysis approach to collect the information needed to perform those transformations.
We then applied this method to a recent subset of applications of our dataset from @sec:rasta.
When comparing the success rate of the tools of @sec:rasta on the applications before and after the transformation, we found that, in general, the success rate of those tools slightly decreases, with a few exceptions.
When comparing the success rate of the tools of @sec:rasta on the applications before and after the transformation, we found that, in general, the success rate of those tools slightly decreases (except for a few tools).
We also showed that our transformation indeed allows static analysis tools to access and process that runtime information in their analysis.
However, a more in-depth look at the results of our dynamic analysis showed that our code coverage is lacking, and that the great majority of dynamically loaded code we intercepted is from generic advertisement and telemetry libraries.