A new open dataset and toolset enables machine-learning classifiers to identify CPU architecture and endianness of ELF binaries with over 98 percent accuracy on code sections and 99.2 percent on complete files.
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Towards usable automated detection of CPU architecture and endianness for arbitrary binary files and object code sequences
A new open dataset and toolset enables machine-learning classifiers to identify CPU architecture and endianness of ELF binaries with over 98 percent accuracy on code sections and 99.2 percent on complete files.