Victor Krylov

13 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Symmetry
Alessandro M. Baldini, Vladimir Baranov, Michele Biasotti, Gianluigi Boca, Paolo Walter Cattaneo, Gianluca Cavoto, Fabrizio Cei, Marco Chiappini, Gianluigi Chiarello, Alessandro Corvaglia, Federica Cuna, Giovanni Dal Maso, Antonio de Bari, Matteo De Gerone, Marco Francesconi, Luca Galli, Giovanni Gallucci, Flavio Gatti, Francesco Grancagnolo, Marco Grassi, Dmitry N. Grigoriev, Malte Hildebrandt, Kei Ieki, Fedor Ignatov, Toshiyuki Iwamoto, Peter-Raymond Kettle, Nikolay Khomutov, Satoru Kobayashi, Alexander Kolesnikov, Nikolay Kravchuk, Victor Krylov, Nikolay Kuchinskiy, William Kyle, Terence Libeiro, Vladimir Malyshev, Manuel Meucci, Satoshi Mihara, William Molzon, Toshinori Mori, Alexander Mtchedlishvili, Mitsutaka Nakao, Donato Nicolò, Hajime Nishiguchi, Shinji Ogawa, Rina Onda, Wataru Ootani, Atsushi Oya, Dylan Palo, Marco Panareo, Angela Papa, Valerio Pettinacci, Alexander Popov, Francesco Renga, Stefan Ritt, Massimo Rossella, Aleksander Rozhdestvensky, Patrick Schwendimann, Kohei Shimada, Giovanni Signorelli, Alexey Stoykov, Giovanni F. Tassielli, Kazuki Toyoda, Yusuke Uchiyama, Masashi Usami, Cecilia Voena, Kosuke Yanai, Kensuke Yamamoto, Taku Yonemoto, Yury V. Yudin
2018 conf
DSMP
Galyna Shcherbakova, Svitlana Antoshchuk, Anatoly Sachenko, Maksym Gerganov, Marina Polyakova, Victor Krylov
2017 conf
IDAACS
Diana Zahorodnia, Yuriy R. Pigovsky, Pavlo Bykovyy, Victor Krylov, Bohdan Rusyn, Vasyl Koval
2017 conf
IDAACS
Galyna Shcherbakova, Shi Hao-Su, Victor Krylov, Natalija Bilous, Svitlana Antoshchuk
2017 conf
IDAACS
Victor Krylov, Natalya Volkova, Yuliya Kozina
2016 conf
DSMP
Galina Shcherbakova, Victor Krylov, Radmila Pisarenko
2016 conf
DSMP
Marina Polyakova, Victor Krylov, Natalya Volkova
2012 J jnl
Int. J. Comput.
Galina Shcherbacova, Victor Krylov, Oleg Logvinov
2012 J jnl
Int. J. Comput.
Marina Polyakova, Victor Krylov, Natalya Volkova
2011 conf
IDAACS (1)
Galyna Shcherbakova, Victor Krylov, Valentin Abakumov, Volodymyr Brovkov, Iuliia Kozina
2010 J jnl
Int. J. Comput.
Marina Polyakova, Victor Krylov, Natalia Gulyaeva, Tatyana Pruschak
2009 J jnl
Int. J. Comput.
Marina Polyakova, Victor Krylov, Natalia Volkova
2008 J jnl
Int. J. Comput.
Marina Polyakova, Victor Krylov
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"