Weidong Cao

39 papers A* 10A 6C 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
HPCA
Fan Li, Qiufeng Li, Yanan Guo, Weidong Cao, Xin Xin
2026 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tianrui Ma, Zhe Gao, Zhe Chen, Ramakrishna Kakarala, Charles Shan, Weidong Cao, Xuan Zhang
2025 J jnl
CoRR
Zhiqiang Yi, Yiwen Liang, Weidong Cao
2025 A* conf
ICML
Jian Gao, Weidong Cao, Xuan Zhang
2025 A* conf
ICLR
Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang
2025 J jnl
CoRR
Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang
2025 A* conf
DAC
Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang
2025 A* conf
DAC
Shikai Wang, Yaolong Hu, Zhiqiang Yi, Taiyun Chi, Weidong Cao
2025 A conf
ISLPED
Yiwen Liang, Zhiqiang Yi, Tianrui Ma, Weidong Cao
2025 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Weidong Cao, Jian Gao, Tianrui Ma, Rui Ma, Mouhacine Benosman, Xuan Zhang
2024 A* conf
DAC
Weidong Cao, Jian Gao, Xin Xin, Xuan Zhang
2024 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaoyu Sun, Weidong Cao, Brian Crafton, Kerem Akarvardar, Haruki Mori, Hidehiro Fujiwara, Hiroki Noguchi, Yu-Der Chih, Meng-Fan Chang, Yih Wang, Tsung-Yung Jonathan Chang
2024 J jnl
ACM Trans. Design Autom. Electr. Syst.
Xiaoyu Sun, Xiaochen Peng, Sai Qian Zhang, Jorge Gomez, Win-San Khwa, Syed Shakib Sarwar, Ziyun Li, Weidong Cao, Zhao Wang, Chiao Liu, Meng-Fan Chang, Barbara De Salvo, Kerem Akarvardar, H.-S. Philip Wong
2024 J jnl
CoRR
Weidong Cao, Jian Gao, Tianrui Ma, Rui Ma, Mouhacine Benosman, Xuan Zhang
2023 C conf
ISCAS
Weidong Cao, Xuan Zhang
2023 A* conf
ICLR
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
2023 J jnl
CoRR
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
2023 A* conf
ISCA
Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang
2023 C conf
ISCAS
Weidong Cao, Hua Wang, Xuan Zhang
2023 J jnl
CoRR
Weidong Cao, Hua Wang, Xuan Zhang
2023 A conf
ICCAD
Huifeng Zhu, Weidong Cao, Xuan Zhang
2023 A* conf
DAC
Jian Gao, Weidong Cao, Xuan Zhang
2022 J jnl
CoRR
Weidong Cao, Changqing Wang, Weijian Chen, Song Hu, Hua Wang, Lan Yang, Xuan Zhang
2022 J jnl
CoRR
Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma
2022 J jnl
CoRR
Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma
2022 A* conf
DAC
Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma
2022 A conf
ISLPED
Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang
2022 J jnl
IEEE Trans. Computers
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
2022 J jnl
CoRR
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
2022 A conf
ICCAD
Huifeng Zhu, Zhiyuan Yu, Weidong Cao, Ning Zhang, Xuan Zhang
2021 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2020 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2019 A conf
DATE
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2019 A conf
ICCAD
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2019 J jnl
CoRR
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2018 J jnl
Microelectron. J.
Fangxu Lv, Xuqiang Zheng, Feng Zhao, Jianye Wang, Shigang Yue, Ziqiang Wang, Weidong Cao, Yajun He, Chun Zhang, Hanjun Jiang, Zhihua Wang
2016 conf
NEWCAS
Naiwen Zhou, Linghan Wu, Ziqiang Wang, Xuqiang Zheng, Weidong Cao, Chun Zhang, Fule Li, Zhihua Wang
2015 conf
NEWCAS
Weidong Cao, Ziqiang Wang, Dongmei Li, Xuqiang Zheng, Ke Huang, Shuai Yuan, Fule Li, Zhihua Wang
2015 conf
MWSCAS
Weidong Cao, Ziqiang Wang, Dongmei Li, Xuqiang Zheng, Fule Li, Chun Zhang, Zhihua Wang
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"