Kate Hone

20 papers A* 1B 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Enobong Adahada, Isabel Sassoon, Kate Hone, Yongmin Li
2025 J jnl
Informatics
Kanitsorn Suriyapaiboonwattana, Kate Hone
2025 J jnl
Informatics
Saiphit Satjawisate, Kanitsorn Suriyapaiboonwattana, Alisara Saramolee, Kate Hone
2025 J jnl
Informatics
Kanitsorn Suriyapaiboonwattana, Yuttana Jaroenruen, Saiphit Satjawisate, Kate Hone, Panupong Puttarak, Nattapong Kaewboonma, Puriwat Lertkrai, Siwanath Nantapichai
2024 B conf
CBMS
Lina Huang, Alina Dana Miron, Kate Hone, Yongmin Li
2024 J jnl
CoRR
Lina Huang, Alina Dana Miron, Kate Hone, Yongmin Li
2023 conf
ICEIT
Kanitsorn Suriyapaiboonwattana, Kate Hone
2023 conf
HCI (31)
Kanitsorn Suriyapaiboonwattana, Kate Hone
2022 J jnl
IEEE Trans. Cybern.
Nianyin Zeng, Zidong Wang, Weibo Liu, Hong Zhang, Kate Hone, Xiaohui Liu
2021 J jnl
IEEE Trans. Cybern.
Weibo Liu, Zidong Wang, Yuan Yuan, Nianyin Zeng, Kate Hone, Xiaohui Liu
2021 J jnl
J. Enterp. Inf. Manag.
Mohamad Merhi, Kate Hone, Ali Tarhini, Nisreen Ameen
2021 A* conf
CHI
Monica Pereira, Kate Hone
2021 J jnl
IEEE Trans. Evol. Comput.
Mincan Li, Zidong Wang, Kenli Li, Xiangke Liao, Kate Hone, Xiaohui Liu
2016 J jnl
BMC Medical Informatics Decis. Mak.
Jo Gibbs, Lorna J. Sutcliffe, Voula Gkatzidou, Kate Hone, Richard E. Ashcroft, Emma M. Harding-Esch, Catherine Lowndes, Syed Tariq Sadiq, Pam Sonnenberg, Claudia S. Estcourt
2015 J jnl
Int. J. Mob. Hum. Comput. Interact.
Sumayyah Hassan Alfaresi, Kate Hone
2015 J jnl
BMC Medical Informatics Decis. Mak.
Voula Gkatzidou, Kate Hone, Lorna J. Sutcliffe, Jo Gibbs, Syed Tariq Sadiq, Ala Szczepura, Pam Sonnenberg, Claudia S. Estcourt
2014 J jnl
IEEE Trans. Cybern.
Xiao Liang, Yongsheng Ding, Zidong Wang, Kuangrong Hao, Kate Hone, Hua-Ping Wang
2013 conf
BCS HCI
Voula Gkatzidou, Kate Hone, Jo Gibbs, Lorna J. Sutcliffe, Syed Tariq Sadiq, Pam Sonnenberg, Claudia S. Estcourt
2003 conf
HCI (4)
Lorna Lines, Kate Hone
2003 conf
HCI (4)
Ghada R. El Said, Kate Hone
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"