Hopper disassembler vs ida software#

The approach can work with different sets of disassemblers. The results shown are for malware binaries compiled with GCC for MIPS with the O3 compilation level. Finally, the systematic evaluation within our approach led to a bug discovery in Ghidra v9.1, which was acknowledged by the Ghidra team.ġ INTRODUCTION Figure 1: DisCo effectively combines disassemblers for superior performance: The gain in the performance over the best input can be as high as +17.8% with a combined performance 99.8% in F1 score combining five disassemblers. Third, we quantify the effect of the architecture, the compiler, and the compiler options on the performance of disassemblers. As a proof of concept, we show that byte-level signatures identified by DisCo can improve the performance of Ghidra by as much as 13.6% in terms of the F1 score. Second, the collective wisdom of the disassemblers can be brought back to improve each disassembler. For example, our approach outperforms the best contributing disassembler by as much as 17.8% in the F1 score for function start identification for MIPS binaries compiled using GCC with O3 option. First, we show that DisCo can combine the collective wisdom of disassemblers effectively. We develop and evaluate our approach using 1760 IoT malware binaries compiled with different compilers and compiler options for the ARM and MIPS architectures. In this work, we take a different approach and ask: why not use all the disassemblers instead of picking one? We present DisCo, a novel and effective approach to harness the collective capability of a group of disassemblers combining their output into an ensemble consensus.

Hopper disassembler vs ida software#

Which disassembler should a malware analyst choose in order to get the most accurate disassembly and be able to detect, analyze and defuse malware quickly? There is no clear answer to this question: (a) the performance of disassemblers varies across configurations, and (b) most prior work on disassemblers focuses on benign software and the x86 CPU architecture. Malware infects thousands of systems globally each day causing millions of dollars in damages.