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Binary rewriting is a rapidly-maturing technique for modifying software forinstrumentation, customization, optimization, and hardening without access tosource code. Unfortunately, the practical applications of binary rewritingtools are often unclear to users because their limitations are glossed over inthe literature. This, among other challenges, has prohibited the widespreadadoption of these tools. To address this shortcoming, we collect ten popularbinary rewriters and assess their generality across a broad range of inputbinary classes and the functional reliability of the resulting rewrittenbinaries. Additionally, we evaluate the performance of the rewriters themselvesas well as the rewritten binaries they produce.  The goal of this broad evaluation is to establish a shared context for futureresearch and development of binary rewriting tools by providing a state of thepractice for their capabilities. To support potential binary rewriter users, wealso identify input binary features that are predictive of tool success andshow that a simple decision tree model can accurately predict whether aparticular tool can rewrite a target binary. The binary rewriters, our corpusof 3344 sample binaries, and the evaluation infrastructure itself are allfreely available as open-source software.

A Broad Comparative Evaluation of x86-64 Binary Rewriters