Carrie Tzou

13 papers Unranked 13
YearRankTypeTitle / Venue / Authors
2020 conf
ICLS
Theresa Horstman, Gavin Tierney, Carrie Tzou
2020 conf
ICLS
Blakely Tsurusaki, Carrie Tzou, Laura Carsten Conner
2020 conf
ICLS
Megan Bang, Angela Booker, Krystal Villanosa, Charlene Montano Nolan, Shawn Peterson, Amanda Ramayon, Ashley Braun, Sara Marie Ortiz, Philip Bell, Priya Pugh, Jordan Sherry-Wagner, Meixi Ng, Shirin Vossoughi, Nikki McDaid-Morgan, Leah A. Bricker, Forrest Bruce, Mario Guerra, Carrie Tzou, Elizabeth Starks
2020 conf
ICLS
Priya Pugh, Blakely Tsurusaki, Carrie Tzou, Laura Carsten Conner, P. Teal Sullivan
2018 conf
ICLS
Enrique Suárez, Carrie Tzou, Megan Bang, Meixi Ng, Ricarose Roque, Nichole Pinkard, Raymond McDermott, Brigid Barron, Shelley V. Goldman, Megan Luce, Tanner Vea, Luke Conlin, Philip Bell, Caitlin Kennedy Martin
2018 conf
ICLS
Gavin Tierney, Theresa Horstman, Carrie Tzou
2017 conf
CSCL
Victor R. Lee, Carrie Tzou, Megan Bang, Philip Bell, Shelley Stromholt, Nancy Price, Meixi Ng, Yasmin B. Kafai, Orkan Telhan, Richard Lee Davis, K-Fai Steele, Barrie M. Adleberg, Jennifer Kahn, Rogers Hall, Abigail Leigh Phillips, Jennifer Hansen, Mimi Recker, Brigid Barron
2014 conf
ICLS
Carrie Tzou, Laura Conner, Stephen Pompea, Mareca Guthrie
2014 conf
ICLS
Maureen Callanan, Catherine Eberbach, Shelley V. Goldman, Jennifer Jipson, Amber Levinson, Elyse Litvack, Megan Luce, Lucy R. McClain, Sinem Siyahhan, Carrie Tzou, Jessica Umphress, Tanner Vea, Heather Toomey Zimmerman, Philip Bell
2010 conf
ICLS (1)
Carrie Tzou, Philip Bell
2010 conf
ICLS
Carrie Tzou
2008 conf
ICLS (3)
Leah A. Bricker, Philip Bell, Suzanne Reeve, Brigid Barron, Nichole Pinkard, Kimberly Gomez, Caitlin Kennedy Martin, Akili Lee, Mark Chen, Heather Toomey Zimmerman, Carrie Tzou, Giovanna Scalone, Christopher Hoadley, Sameer Honwad, Véronique Mertl, Laurie McCarthy, Reed Stevens, Sheldon Levias, Flávio S. Azevedo
2004 conf
ICLS
Carrie Tzou, Brian J. Reiser
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"