Victoria Wu

13 papers B 1Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Medical Imaging
Victoria Wu, Andrea Fung, Bahar Khodabakhshian, Baraa Abdelsamad, Hooman Vaseli, S. Neda Ahmadi Amiri, Jamie Alexis D. Goco, Michael Y. Tsang, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang
2025 conf
ICCVW
Hooman Vaseli, Victoria Wu, Nima Kondori, Nguyen Nhat Minh To, Andrea Fung, Ang Nan Gu, Purang Abolmaesumi
2025 conf
ASMUS@MICCAI
Hooman Vaseli, Victoria Wu, Diane Kim, Michael Y. Tsang, Ang Nan Gu, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang
2025 J jnl
Medical Image Anal.
Ang Nan Gu, Hooman Vaseli, Michael Y. Tsang, Victoria Wu, S. Neda Ahmadi Amiri, Nima Kondori, Andrea Fung, Teresa S. M. Tsang, Purang Abolmaesumi
2025 conf
iMIMIC@MICCAI
Yeganeh Ghamary, Victoria Wu, Hooman Vaseli, Christina Luong, Teresa Tsang, Siavash Bigdeli, Purang Abolmaesumi
2025 J jnl
CoRR
Yeganeh Ghamary, Victoria Wu, Hooman Vaseli, Christina Luong, Teresa Tsang, Siavash Bigdeli, Purang Abolmaesumi
2020 conf
EMBC
Justin Gerolami, Victoria Wu, Paolo Nasute Fauerbach, Doris Jabs, Cecil Jay Engel, John F. Rudan, Shaila Merchant, Ross Walker, Emran Mohammad Abu Anas, Purang Abolmaesumi, Gabor Fichtinger, Tamas Ungi, Parvin Mousavi
2020 J jnl
IEEE Trans. Biomed. Eng.
Tamas Ungi, Thomas Hastings Greer, Kyle Sunderland, Victoria Wu, Zachary M. C. Baum, Christopher Schlenger, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward, Gabor Fichtinger
2020 conf
Image-Guided Procedures
Victoria Wu, Tamas Ungi, Kyle Sunderland, Grace Pigeau, Abigael Schonewille, Gabor Fichtinger
2020 conf
Image-Guided Procedures
Grace Pigeau, Lydia Elbatarny, Victoria Wu, Abigael Schonewille, Gabor Fichtinger, Tamas Ungi
2019 J jnl
Auton. Robots
Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich
2017 conf
HRI (Companion)
Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich
2016 B conf
RO-MAN
Anahita Mohseni-Kabir, Victoria Wu, Sonia Chernova, Charles Rich
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"