Cayelan C. Carey

14 papers A 1B 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Trans. Mach. Learn. Res.
Abhilash Neog, Arka Daw, Sepideh Fatemi, Medha Sawhney, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W. Howard, Cayelan C. Carey, Paul C. Hanson, Anuj Karpatne
2025 J jnl
Ecol. Informatics
Hoang Vuong Dang, Kermode Stephanie, Peisheng Huang, Cayelan C. Carey, Matthew R. Hipsey
2024 B conf
e-Science
Sungjae Park, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Yun-Jung Ku, Mary E. Lofton, Renato J. O. Figueiredo
2024 J jnl
J. Open Source Softw.
Sungjae Park, Yun-Jung Ku, Nan Mu, Vahid Daneshmand, R. Quinn Thomas, Cayelan C. Carey, Renato J. O. Figueiredo
2024 J jnl
Ecol. Informatics
Whitney M. Woelmer, R. Quinn Thomas, Freya Olsson, Bethel G. Steele, Kathleen C. Weathers, Cayelan C. Carey
2024 J jnl
Comput. Sci. Eng.
Renato J. O. Figueiredo, Cayelan C. Carey, R. Quinn Thomas
2021 B conf
e-Science
Vahid Daneshmand, Adrienne Breef-Pilz, Cayelan C. Carey, Yuqi Jin, Yun-Jung Ku, Kensworth C. Subratie, R. Quinn Thomas, Renato J. O. Figueiredo
2020 J jnl
Environ. Model. Softw.
Matthew R. Hipsey, Gideon Gal, George B. Arhonditsis, Cayelan C. Carey, J. Alex Elliott, Marieke A. Frassl, Jan H. Janse, Lee de Mora, Barbara J. Robson
2020 A conf
SDM
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2019 J jnl
Environ. Model. Softw.
John C. Little, Erich T. Hester, Sondoss Elsawah, George M. Filz, Adrian Sandu, Cayelan C. Carey, Takuya Iwanaga, Anthony J. Jakeman
2019 J jnl
CoRR
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2017 J jnl
Concurr. Comput. Pract. Exp.
Kensworth Subratie, Saumitra Aditya, Srinivas Mahesula, Renato Figueiredo, Cayelan C. Carey, Paul C. Hanson
2015 J jnl
CoRR
Kensworth Subratie, Saumitra Aditya, Renato Figueiredo, Cayelan C. Carey, Paul C. Hanson
2012 J jnl
Environ. Model. Softw.
Emily L. Kara, Paul C. Hanson, David P. Hamilton, Matthew R. Hipsey, Katherine D. McMahon, Jordan S. Read, Luke A. Winslow, John Dedrick, Kevin Rose, Cayelan C. Carey, Stefan Bertilsson, David da Motta Marques, Lucas Beversdorf, Todd Miller, Chin H. Wu, Yi-Fang Hsieh, Evelyn Gaiser, Tim Kratz
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"