Ingrid Isenhardt

26 papers B 2C 7Journal 4Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Marcos Galdino, Johanna Grahl, Tobias Hamann, Anas Abdelrazeq, Ingrid Isenhardt
2024 conf
HCI (30)
Antonia Markus, Kristien Klaka, Johanna M. Werz, Esther Borowski, Ingrid Isenhardt
2023 conf
KMIS
Ekin Uhri, Christoph Matz, Ingrid Isenhardt
2023 conf
HCI (43)
Johanna Lauwigi, Samira Khodaei, Hannah Dammers, Anas Abdelrazeq, Ingrid Isenhardt
2022 conf
HCI (28)
Lea M. Daling, Samira Khoadei, Denis Kalkofen, Stefan Thurner, Johannes Sieger, Taras Shepel, Anas Abdelrazeq, Markus Ebner, Martin Ebner, Ingrid Isenhardt
2022 B conf
VL/HCC
Robert Jungnickel, Aymen Gannouni, Anas Abdelrazeq, Ingrid Isenhardt
2021 conf
HCI (38)
Lea M. Daling, Samira Khodaei, Stefan Thurner, Anas Abdelrazeq, Ingrid Isenhardt
2021 C conf
EDUCON
Johanna M. Werz, Miriam Schmitt, Esther Borowski, Uwe Wilkesmann, Ingrid Isenhardt
2021 J jnl
CoRR
Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
2021 conf
HCI (38)
Johanna M. Werz, Konstantin Zähl, Esther Borowski, Ingrid Isenhardt
2021 conf
AHFE (9)
Sanjiv Surendra, Sarah Müller-Abdelrazeq, Frank Hees, Ingrid Isenhardt
2020 conf
HCI (11)
Lea M. Daling, Anas Abdelrazeq, Ingrid Isenhardt
2020 conf
REV
Nina Schiffeler, Valerie Varney, Esther Borowski, Ingrid Isenhardt
2020 conf
HCI (38)
Johanna M. Werz, Esther Borowski, Ingrid Isenhardt
2019 C conf
EDUCON
Lana Plumanns, Daniela Janssen, René Vossen, Frank Hees, Ingrid Isenhardt
2019 conf
REV
Nina Schiffeler, Valerie Stehling, Max Haberstroh, Ingrid Isenhardt
2019 C conf
EDUCON
Lana Plumanns, Daniela Janssen, René Vossen, Ingrid Isenhardt
2019 B conf
ASONAM
Johanna M. Werz, Valerie Varney, Ingrid Isenhardt
2018 C conf
EDUCON
Nina Schiffeler, Valerie Stehling, Max Haberstroh, Ingrid Isenhardt
2018 C conf
EDUCON
Freya Willicks, Valerie Stehling, Anja Richert, Ingrid Isenhardt
2018 conf
DeLFI
Nina Schiffeler, Joshua Grodotzki, Tobias R. Ortelt, Valerie Stehling, Ingrid Isenhardt, A. Erman Tekkaya
2016 C conf
iLRN
Daniela Janßen, Christian Tummel, Anja Richert, Ingrid Isenhardt
2016 J jnl
Int. J. Adv. Corp. Learn.
Daniela Janssen, Christian Tummel, Anja Richert, Ingrid Isenhardt
2015 conf
IEEM
Sarah Luisa Müller, Thomas Thiele, Claudia Jooß, Anja Richert, René Vossen, Ingrid Isenhardt, Sabina Jeschke
2014 J jnl
Int. J. Eng. Pedagog.
Stefan Schröder, Daniela Janssen, Ingo Leisten, René Vossen, Ingrid Isenhardt
2013 C conf
FIE
Stefan Schröder, Daniela Janßen, Ingo Leisten, René Vossen, Ingrid Isenhardt
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"