- Implemented MachineLearning class with ExtractFeatures method - Updated project files to include new machine learning source and header files - Modified main executable to call feature extraction - Updated VSCode settings to include additional C++ headers - Commented out previous file dumping code in main function
32 lines
766 B
C++
32 lines
766 B
C++
#pragma once
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#define _CRT_SECURE_NO_WARNINGS
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#include <iostream>
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#include <iostream>
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#include <winternl.h>
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#include <vector>
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#include <map>
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#include <unordered_map>
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#include <ntstatus.h>
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#include <ctime>
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#include "unicorn/include/unicorn/unicorn.h"
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#include "capstone/include/capstone/capstone.h"
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#pragma comment(lib, "unicorn/unicorn.lib")
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#pragma comment(lib, "capstone/capstone.lib")
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#include "libpeconv/include/peconv.h"
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#include "native_struct.h"
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struct BasicPeInfo {
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std::string inputFilePath;
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bool isX64;
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uint64_t RecImageBase;
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uint64_t entryPoint;
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uint64_t imageEnd;
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bool isRelocated;
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uint8_t* peBuffer;
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size_t peSize;
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PIMAGE_NT_HEADERS ntHead64;
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PIMAGE_NT_HEADERS32 ntHead32;
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};
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#include "sandbox.h"
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#include "ml.h" |