Wei Qiao

53 papers B 4C 20Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2024 C conf
IAS
Bogac Canbaz, Wei Qiao, Liyan Qu
2024 C conf
IAS
Anne Stratman, Wei Qiao, Liyan Qu
2023 J jnl
IEEE Access
Xiaohang Jin, Hao Wang, Ziqian Kong, Zhengguo Xu, Wei Qiao
2022 J jnl
IEEE Syst. J.
Josue Campos do Prado, Wei Qiao
2022 J jnl
IEEE Trans. Ind. Electron.
Yayu Peng, Wei Qiao, Liyan Qu
2021 J jnl
IEEE Trans. Smart Grid
Mohamed Kareem AlAshery, Zhehan Yi, Di Shi, Xiao Lu, Chunlei Xu, Zhiwei Wang, Wei Qiao
2021 conf
EIT
Josue Campos do Prado, Wei Qiao, Dongliang Xiao
2021 J jnl
IEEE Trans. Instrum. Meas.
Yayu Peng, Wei Qiao, Fangzhou Cheng, Liyan Qu
2020 J jnl
IEEE Access
Samrat Nath, Jingxian Wu, Yue Zhao, Wei Qiao
2019 J jnl
IEEE Trans. Smart Grid
Josue Campos do Prado, Wei Qiao
2019 J jnl
IEEE Trans. Ind. Electron.
Fangzhou Cheng, Liyan Qu, Wei Qiao, Liwei Hao
2019 conf
ISGT
Josue Campos do Prado, Wei Qiao, Sharon Thomas
2019 conf
ISGT
Dongliang Xiao, Wei Qiao, Liyan Qu
2018 C conf
IAS
Xiaohang Jin, Zijun Que, Yi Sun, Yuanjing Guo, Wei Qiao
2018 conf
ISGT
Josue Campos do Prado, Wei Qiao
2018 J jnl
IEEE Trans. Ind. Electron.
Jun Wang, Fangzhou Cheng, Wei Qiao, Liyan Qu
2017 conf
EIT
Yayu Peng, Fangzhou Cheng, Wei Qiao, Liyan Qu
2017 conf
EIT
Haibo Li, Liyan Qu, Wei Qiao
2017 J jnl
IEEE Trans. Ind. Electron.
Haosen Wang, Liyan Qu, Wei Qiao, Bo Liu
2017 C conf
IAS
Fangzhou Cheng, Jun Wang, Liyan Qu, Wei Qiao
2017 C conf
IAS
Yayu Peng, Wei Qiao, Liyan Qu, Jun Wang
2016 C conf
IAS
Xiaohang Jin, Fangzhou Cheng, Yayu Peng, Wei Qiao, Liyan Qu
2016 J jnl
IEEE Trans. Ind. Electron.
Jun Wang, Yayu Peng, Wei Qiao
2016 C conf
IAS
Fangzhou Cheng, Yayu Peng, Liyan Qu, Wei Qiao
2016 J jnl
IEEE Trans. Ind. Electron.
Ze Wang, Bo Tian, Wei Qiao, Liyan Qu
2015 J jnl
IEEE Trans. Ind. Electron.
Wei Qiao, Dingguo Lu
2015 J jnl
IEEE Trans. Ind. Electron.
Wei Qiao, Dingguo Lu
2015 J jnl
IEEE Trans. Ind. Electron.
Xiang Gong, Wei Qiao
2015 C conf
IAS
Xiaohang Jin, Yayu Peng, Fangzhou Cheng, Wei Qiao, Liyan Qu
2015 J jnl
IEEE Trans. Ind. Electron.
Chun Wei, Zhe Zhang, Wei Qiao, Liyan Qu
2013 C conf
IAS
Zhe Zhang, Yue Zhao, Wei Qiao, Liyan Qu
2013 C conf
IAS
Jianwu Zeng, Wei Qiao, Liyan Qu
2013 J jnl
IEEE Trans. Ind. Electron.
Xiang Gong, Wei Qiao
2013 C conf
IAS
Yue Zhao, Zhe Zhang, Cong Ma, Wei Qiao, Liyan Qu
2013 C conf
ACC
Jianwu Zeng, Dingguo Lu, Yue Zhao, Zhe Zhang, Wei Qiao, Xiang Gong
2012 C conf
IAS
Zhe Zhang, Yue Zhao, Wei Qiao, Liyan Qu
2012 C conf
IAS
Jianwu Zeng, Zhe Zhang, Wei Qiao
2012 C conf
IAS
Yue Zhao, Wei Qiao, Long Wu
2012 conf
ISIE
Yue Zhao, Wei Qiao, Long Wu
2011 C conf
IAS
Yue Zhao, Wei Qiao
2010 J jnl
IEEE Trans. Smart Grid
Fangxing Li, Wei Qiao, Hongbin Sun, Hui Wan, Jianhui Wang, Yan Xia, Zhao Xu, Pei Zhang
2010 C conf
IAS
Xiang Gong, Xu Yang, Wei Qiao
2009 C conf
IAS
Liyan Qu, Wei Qiao
2009 B conf
IJCNN
Wei Qiao
2008 J jnl
IEEE Trans. Neural Networks
Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy
2008 C conf
IAS
Wei Qiao, Ronald G. Harley
2008 J jnl
Neural Networks
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley
2008 J jnl
Eng. Appl. Artif. Intell.
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Venayagamoorthy
2007 C conf
IAS
Wei Qiao, Liyan Qu, Ronald G. Harley
2007 B conf
IJCNN
Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy
2007 J jnl
IEEE Trans. Ind. Electron.
Wei Qiao, Ronald G. Harley
2006 B conf
IJCNN
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley
2005 B conf
IJCNN
Wei Qiao, Zhi Gao, Ronald G. Harley
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"