Nataliia Korshun

25 papers A 1Unranked 24
YearRankTypeTitle / Venue / Authors
2025 A conf
ICST
Volodymyr Sokolov, Yuliia Kostiuk, Pavlo Skladannyi, Nataliia Korshun
2025 conf
CQPC
Pavlo Skladannyi, Yuliia Kostiuk, Svitlana Rzaieva, Bohdan Bebeshko, Nataliia Korshun
2025 conf
CSDP
Yuliya Kostyuk, Svitlana Rzaieva, Karyna Khorolska, Nataliia Mazur, Nataliia Korshun
2025 conf
CPITS
Myroslav Ryabyy, Anton Spiridonov, Nataliia Korshun, Roman Kyrychok
2025 conf
CPITS II
Andrii Bondarchuk, Viktoriia Onyshchenko, Andrii Hashko, Andrii Strazhnikov, Nataliia Korshun
2024 conf
DECaT
Vasyl Buhas, Ihor Ponomarenko, Oksana Kazak, Nataliia Korshun
2024 conf
CPITS
Yevhenii Martseniuk, Andrii Partyka, Oleh Harasymchuk, Nataliia Korshun
2024 conf
CPITS
Oleh Deineka, Oleh Harasymchuk, Andrii Partyka, Anatoliy Obshta, Nataliia Korshun
2024 conf
CQPC
Dmytro Proskurin, Tetiana Okhrimenko, Sergiy Gnatyuk, Dauriya Zhaksigulova, Nataliia Korshun
2024 conf
CPITS II
Pavlo Vorobets, Oleksandr Vakhula, Andriy Horpenyuk, Nataliia Korshun
2024 conf
CPITS II
Yuliia Kostiuk, Pavlo Skladannyi, Nataliia Korshun, Bohdan Bebeshko, Karyna Khorolska
2024 conf
DECaT
Inna O. Lunina, Nataliia M. Nazukova, Tetiana Kvasha, Nataliia Korshun
2024 conf
CH&CMiGIN
Yuliia Kostiuk, Pavlo Skladannyi, Volodymyr Sokolov, Hennadii Hulak, Nataliia Korshun
2023 conf
DSMSI (1)
Nataliia Korshun, Ivan Myshko, Olha Tkachenko
2023 conf
CPITS II
Denys Shevchuk, Oleh Harasymchuk, Andrii Partyka, Nataliia Korshun
2023 conf
CPITS II
Danyil Zhuravchak, Anastasiia Tolkachova, Andrian Piskozub, Valerii Dudvkevych, Nataliia Korshun
2023 conf
CPITS
Bohdan Oliinyk, Yurii Shcheblanin, Oleg Kurchenko, Oleksandr Toroshanko, Nataliia Korshun
2023 conf
CPITS
Bohdan Zhurakovskyi, Oleksandr Pliushch, Mikhail Polishchuck, Nataliia Korshun, Sergiy Obushnyi
2022 conf
TTSIIT
Viktor Grechaninov, Hennadii Hulak, Volodymyr Sokolov, Pavlo Skladannyi, Nataliia Korshun
2022 conf
ITEST
Volodymyr Buriachok, Nataliia Korshun, Oleksii B. Zhyltsov, Volodymyr Sokolov, Pavlo Skladannyi
2022 conf
CPITS
Bohdan Zhurakovskyi, Nataliia Fedorova, Oleksandr Pliushch, Mikhail Polishchuck, Nataliia Korshun
2021 conf
CPITS I
Denis Berestov, Oleg Kurchenko, Yuri Shcheblanin, Nataliia Korshun, Tetiana S. Opryshko
2021 conf
CPITS I
Olha Shevchenko, Andrii Bondarchuk, Olha Polonevych, Bohdan Zhurakovskyi, Nataliia Korshun
2021 conf
CPITS II (2)
Mykyta Moshenchenko, Bohdan Zhurakovskyi, Vadym Poltorak, Andrii Bondarchuk, Nataliia Korshun
2021 conf
CPITS II (2)
Pavlo Anakhov, Viktoriia V. Zhebka, Nataliia Korshun, Alina Tushych, Tymur Dovzhenko
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOImport


class MachOImportExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_IMPORT.value

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            # Flatten the data - one row per function import (like PE imports)
            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(Nullable(String))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_imports"