Inga Hege

18 papers B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Bio Algorithms Med Syst.
Jaroslav Majerník, Andrea Kacmarikova, Martin Komenda, Andrzej A. Kononowicz, Anna Kocurek, Agata Stalmach-Przygoda, Lukasz Balcerzak, Inga Hege, Ioan-Adrian Ciureanu
2021 conf
IDT
Jaroslav Majerník, Martin Komenda, Andrzej A. Kononowicz, Inga Hege, Ioan-Adrian Ciureanu
2020 J jnl
Bio Algorithms Med Syst.
Andrzej A. Kononowicz, Lukasz Balcerzak, Anna Kocurek, Agata Stalmach-Przygoda, Ioan-Adrian Ciureanu, Inga Hege, Martin Komenda, Jaroslav Majerník
2017 B conf
CBMS
Inga Hege, Andrzej A. Kononowicz, Michal Nowakowski, Martin Adler
2015 J jnl
Bio Algorithms Med Syst.
Andrzej A. Kononowicz, Inga Hege
2015 J jnl
Bio Algorithms Med Syst.
Inga Hege, Iris Schröpfer, Katja Radon
2014 conf
MIE
Julia Küfner, Andrzej A. Kononowicz, Inga Hege
2012 J jnl
Bio Algorithms Med Syst.
Inga Hege, Martin R. Fischer
2011 conf
MIE
Andrzej A. Kononowicz, Nabil Zary, David Davies, Jörn Heid, Luke Woodham, Inga Hege
2010 J jnl
Bio Algorithms Med Syst.
Daniela Kempkens, Inga Hege, Bas A. de Leng, Uno Fors, Sören Huwendiek, Andrzej A. Kononowicz, Terry Poulton, Martin R. Fischer
2010 J jnl
Bio Algorithms Med Syst.
Martin R. Fischer, Inga Hege, Katja Radon, Sören Huwendiek
2010 J jnl
Comput. Educ.
Laura Wengenroth, Inga Hege, Katja Förderreuther, Elena Riu, Heinz Mandl, Peter Kujath, Katja Radon
2009 conf
MIE
Andrzej A. Kononowicz, Jörn Heid, Jeroen Donkers, Inga Hege, Luke Woodham, Nabil Zary
2009 J jnl
Bio Algorithms Med Syst.
Nabil Zary, Inga Hege, Jörn Heid, Andrzej A. Kononowicz, Luke Woodham, Jeroen Donkers
2009 conf
MIE
Nabil Zary, Inga Hege, Jörn Heid, Luke Woodham, Jeroen Donkers, Andrzej A. Kononowicz
2009 J jnl
Bio Algorithms Med Syst.
Inga Hege, Andrzej A. Kononowicz, Michael Pfähler, Martin Adler, Martin R. Fischer
2009 J jnl
Bio Algorithms Med Syst.
Laura Wengenroth, Maria Julia Calvo, Alain Cantineau, Denise Carvalho-Silva, Inga Hege, Veronica Herrera, Monique Isler, Stefanie Kolb, Tiina Lehtonen, Begona Martinez-Jarreta, Eduard Monso, Elena Ana Pauncu, Paul Smits, Arun Dev Vellore, Katja Radon
2009 J jnl
Bio Algorithms Med Syst.
Claudia Frey, Inga Hege, Patricia M. Hinske, Martin R. Fischer
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"