Hangyi Jiang

17 papers B 1Journal 16
YearRankTypeTitle / Venue / Authors
2013 J jnl
Brain Connect.
J. Tilak Ratnanather, Rakesh M. Lal, Michael An, Clare B. Poynton, Muwei Li, Hangyi Jiang, Kenichi Oishi, Lynn D. Selemon, Susumu Mori, Michael I. Miller
2012 B conf
Image Processing
Yue Li, Hangyi Jiang, Susumu Mori
2011 J jnl
NeuroImage
Nelson Chuang, Susumu Mori, Akira Yamamoto, Hangyi Jiang, Xin Ye, Xin Xu, Linda J. Richards, Jeremy Nathans, Michael I. Miller, Arthur W. Toga, Richard L. Sidman, Jiangyang Zhang
2011 J jnl
NeuroImage
Andreia Faria, Alexander Hoon, Elaine Stashinko, Xin Li, Hangyi Jiang, Ameneh Mashayekh, Kazi Akhter, John T. Hsu, Kenichi Oishi, Jiangyang Zhang, Michael I. Miller, Peter C. M. van Zijl, Susumu Mori
2011 J jnl
NeuroImage
Kenichi Oishi, Susumu Mori, Pamela K. Donohue, Thomas Ernst, Lynn Anderson, Steven Buchthal, Andreia Faria, Hangyi Jiang, Xin Li, Michael I. Miller, Peter C. M. van Zijl, Linda Chang
2011 J jnl
NeuroImage
Andreia Faria, Alexander Hoon, Elaine Stashinko, Xin Li, Hangyi Jiang, Ameneh Mashayekh, Kazi Akhter, John T. Hsu, Kenichi Oishi, Jiangyang Zhang, Michael I. Miller, Peter C. M. van Zijl, Susumu Mori
2010 J jnl
NeuroImage
Andreia Faria, Jiangyang Zhang, Kenichi Oishi, Xin Li, Hangyi Jiang, Kazi Akhter, Laurent Hermoye, Seung-Koo Lee, Alexander Hoon, Elaine Stashinko, Michael I. Miller, Peter C. M. van Zijl, Susumu Mori
2010 J jnl
NeuroImage
Yajing Zhang, Jiangyang Zhang, Kenichi Oishi, Andreia Faria, Hangyi Jiang, Xin Li, Kazi Akhter, Pedro Rosa-Neto, G. Bruce Pike, Alan C. Evans, Arthur W. Toga, Roger P. Woods, John C. Mazziotta, Michael I. Miller, Peter C. M. van Zijl, Susumu Mori
2009 J jnl
NeuroImage
Kenichi Oishi, Andreia Faria, Hangyi Jiang, Xin Li, Kazi Akhter, Jiangyang Zhang, John T. Hsu, Michael I. Miller, Peter C. M. van Zijl, Marilyn S. Albert, Constantine G. Lyketsos, Roger P. Woods, Arthur W. Toga, G. Bruce Pike, Pedro Rosa-Neto, Alan C. Evans, John C. Mazziotta, Susumu Mori
2008 J jnl
NeuroImage
Kenichi Oishi, Karl Zilles, Katrin Amunts, Andreia Faria, Hangyi Jiang, Xin Li, Kazi Akhter, Kegang Hua, Roger P. Woods, Arthur W. Toga, G. Bruce Pike, Pedro Rosa-Neto, Alan C. Evans, Jiangyang Zhang, Hao Huang, Michael I. Miller, Peter C. M. van Zijl, John C. Mazziotta, Susumu Mori
2008 J jnl
NeuroImage
Susumu Mori, Kenichi Oishi, Hangyi Jiang, Li Jiang, Xin Li, Kazi Akhter, Kegang Hua, Andreia V. Faria, Asif Mahmood, Roger P. Woods, Arthur W. Toga, G. Bruce Pike, Pedro Rosa-Neto, Alan C. Evans, Jiangyang Zhang, Hao Huang, Michael I. Miller, Peter C. M. van Zijl, John C. Mazziotta
2008 J jnl
NeuroImage
Kegang Hua, Jiangyang Zhang, Setsu Wakana, Hangyi Jiang, Xin Li, Daniel S. Reich, Peter A. Calabresi, James J. Pekar, Peter C. M. van Zijl, Susumu Mori
2007 J jnl
NeuroImage
Setsu Wakana, Arvind Caprihan, Martina M. Panzenboeck, James H. Fallon, Michele Perry, Randy L. Gollub, Kegang Hua, Jiangyang Zhang, Hangyi Jiang, Prachi Dubey, Ari Blitz, Peter C. M. van Zijl, Susumu Mori
2006 J jnl
Comput. Methods Programs Biomed.
Hangyi Jiang, Peter C. M. van Zijl, Jinsuh Kim, Godfrey D. Pearlson, Susumu Mori
2006 J jnl
NeuroImage
Laurent Hermoye, Christine Saint-Martin, Guy Cosnard, Seung-Koo Lee, Jinna Kim, Marie-Cécile Nassogne, Renaud Menten, Philippe Clapuyt, Pamela K. Donohue, Kegang Hua, Setsu Wakana, Hangyi Jiang, Peter C. M. van Zijl, Susumu Mori
2005 J jnl
NeuroImage
Hao Huang, Jiangyang Zhang, Hangyi Jiang, Setsu Wakana, Lidia Poetscher, Michael I. Miller, Peter C. M. van Zijl, Argye E. Hillis, Robert Wytik, Susumu Mori
2002 J jnl
IEEE Trans. Biomed. Eng.
Hangyi Jiang, Wei R. Chen, Hong Liu
redb/extractors/macho_extractors/macho_universal.py
← Index redb/extractors/macho_extractors/macho_universal.py python
import hashlib
import inspect
import json
from datetime import datetime, timezone
from typing import Any, List

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOUniversal


class MachOUniversalExtractor(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_universal"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_UNIVERSAL.value

    def _extract_universal_info(self):
        """Extract Universal/FAT binary architecture information using new API."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Parse at Universal level first (new API requirement)
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            # Check if this is a FAT binary
            is_fat = len(architectures) > 1

            architecture_info = []

            # Extract info for each architecture
            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    # Get header info for this architecture
                    header_info = self.macho.get_macho_header(arch=arch_name)

                    # Get architecture-specific MachO instance for detailed analysis
                    arch_macho = self.macho.get_macho_for_arch(arch_name)

                    # Calculate architecture slice hash (if we can access the raw data)
                    arch_sha256 = None
                    arch_md5 = None
                    arch_sha1 = None

                    # For FAT binaries, try to get slice-specific info
                    if is_fat and arch_macho:
                        try:
                            # This would require access to the slice data
                            # For now, we'll use the general file info
                            arch_sha256 = general_info.get('SHA256', '') if general_info else ''
                            arch_md5 = general_info.get('MD5', '') if general_info else ''
                            arch_sha1 = general_info.get('SHA1', '') if general_info else ''
                        except Exception as e:
                            self.log.debug(f"Could not extract slice hash for {arch_name}: {e}")

                    architecture_info.append({
                        'architecture': arch_name,
                        'arch_sha256': arch_sha256,
                        'arch_md5': arch_md5,
                        'arch_sha1': arch_sha1,
                        'cputype': header_info.get('cputype') if header_info else None,
                        'cpusubtype': header_info.get('cpusubtype') if header_info else None,
                        'filetype': header_info.get('filetype') if header_info else None
                    })

                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            # Create Universal dataclass
            macho_universal = MachOUniversal(
                is_fat=is_fat,
                architecture_count=len(architectures),
                architectures=architectures,
                architecture_info=architecture_info,
                fat_hash=self.sha256,
                fat_md5=self.md5,
                fat_sha1=self.sha1
            )

            return macho_universal

        except Exception as e:
            self.log.error(f"Error extracting MachO Universal info: {e}")
            return None

    def _extract_fat_architecture_mappings(self):
        """Extract detailed FAT binary architecture mappings for database relationships."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return []

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return []  # Not a FAT binary

            mappings = []
            current_time = datetime.now(timezone.utc)

            # For each architecture, create a mapping record
            for arch_name in architectures:
                try:
                    # Get general info
                    general_info = self.macho.get_general_info()

                    # Create mapping record for FAT binary architecture table
                    mapping = {
                        'fat_hash': self.sha256,  # SHA256 of the FAT binary
                        'architecture': arch_name,
                        'arch_sha256': general_info.get('SHA256', '') if general_info else '',  # Will need proper slice extraction
                        'arch_md5': general_info.get('MD5', '') if general_info else '',
                        'arch_sha1': general_info.get('SHA1', '') if general_info else '',
                        'arch_filename': f"{general_info.get('Filename', '')}.{arch_name}" if general_info else '',
                        'analysis_date': current_time
                    }
                    mappings.append(mapping)

                except Exception as e:
                    self.log.warning(f"Error creating mapping for architecture {arch_name}: {e}")
                    continue

            return mappings

        except Exception as e:
            self.log.error(f"Error extracting FAT architecture mappings: {e}")
            return []

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            universal_info = self._extract_universal_info()
            return universal_info
        except Exception as e:
            self.log.error(f"Error extracting MachO Universal info: {e}")
            return None

    def extract_fat_binary_basic_properties_data(self):
        """Extract data needed for creating multiple BasicProperties records for FAT binaries.

        Returns:
            Tuple: (is_fat, fat_sha256, architectures_info) where:
                - is_fat: bool indicating if this is a FAT binary
                - fat_sha256: SHA256 of the FAT wrapper
                - architectures_info: dict with arch names and their hashes
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return False, None, {}

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return False, None, {}  # Not a FAT binary

            # This is a FAT binary
            architectures_info = {}

            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    if general_info:
                        architectures_info[arch_name] = {
                            'sha256': general_info.get('SHA256', ''),
                            'md5': general_info.get('MD5', ''),
                            'sha1': general_info.get('SHA1', ''),
                            'filename': general_info.get('Filename', ''),
                            'filesize': general_info.get('Filesize', 0)
                        }
                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            return True, self.sha256, architectures_info

        except Exception as e:
            self.log.error(f"Error extracting FAT binary data: {e}")
            return False, None, {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            universal_info = self.extract()
            if universal_info is None:
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Get architecture info for the binary
            try:
                if universal_info.is_fat:
                    # For FAT binaries, architecture fields should be NULL since it contains multiple
                    architecture_raw = None
                    architecture_str = None
                else:
                    # For single-arch binaries, get the actual architecture info
                    header_info = self.macho.get_macho_header()
                    architecture_raw = header_info.get('cputype', 0) if header_info else 0
                    architecture_str = universal_info.architectures[0] if universal_info.architectures else None
            except Exception as e:
                self.log.warning(f"Could not get architecture info for binary: {e}")
                architecture_raw = None
                architecture_str = None

            # Main Universal binary record
            data.append([
                self.sha256,                              # sha256
                self.md5,                                 # md5
                self.sha1,                                # sha1
                None,                                     # parent_sha256 (always None for main FAT binary)
                architecture_raw,                         # architecture (raw CPU type)
                architecture_str,                         # architecture_str (human-readable)
                universal_info.is_fat,                    # is_fat
                universal_info.architecture_count,       # architecture_count
                universal_info.architectures,            # architectures (array)
                json.dumps(universal_info.architecture_info[0] if len(universal_info.architecture_info) == 1 else {"architectures": universal_info.architecture_info}) if universal_info.architecture_info else None,  # architecture_info (JSON)
                current_time,                             # analysis_date
            ])

            column_names = [
                'sha256', 'md5', 'sha1', 'parent_sha256', 'architecture', 'architecture_str',
                'is_fat', 'architecture_count', 'architectures', 'architecture_info',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'Nullable(FixedString(64))', 'Nullable(UInt32)', 'LowCardinality(Nullable(String))',
                'UInt8', 'UInt32', 'Array(LowCardinality(String))', 'JSON',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def prepare_fat_architecture_export_data(self) -> Any:
        """Prepare export data for the FAT binary architecture mapping table."""
        mappings = self._extract_fat_architecture_mappings()
        if not mappings:
            return None

        data = []
        for mapping in mappings:
            data.append([
                mapping['fat_hash'],
                mapping['architecture'],
                mapping['arch_sha256'],
                mapping['arch_md5'],
                mapping['arch_sha1'],
                mapping['arch_filename'],
                mapping['analysis_date'],
            ])

        column_names = [
            'fat_hash', 'architecture', 'arch_sha256', 'arch_md5', 'arch_sha1',
            'arch_filename', 'analysis_date'
        ]

        column_type_names = [
            'FixedString(64)', 'LowCardinality(String)', 'FixedString(64)',
            'FixedString(32)', 'FixedString(40)', 'String',
            'DateTime64(3, \'UTC\')'
        ]

        return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_macho_universal"

    # def get_fat_architecture_table(self) -> str:
    #     """Return table name for FAT binary architecture mappings."""
    #     return "redb_fat_binary_architectures"