Na Zhu

40 papers A* 2C 1Misc 1Journal 27Unranked 9
YearRankTypeTitle / Venue / Authors
2025 Misc conf
ICASSP
Zeren Zhang, Jo-Ku Cheng, Jingyang Deng, Lu Tian, Jinwen Ma, Ziran Qin, Xiaokai Zhang, Na Zhu, Tuo Leng
2025 J jnl
Symmetry
Qike Huang, Xiaokai Zhang, Na Zhu, Fangzhen Zhu, Tuo Leng
2025 A* conf
IJCAI
Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng
2025 J jnl
J. Medical Syst.
Qian Ruan, Jinghong Shi, Yunke Dai, Pingliang Yang, Na Zhu, Shun Wang
2025 A* conf
ACM Multimedia
Yongan Guo, Zhongyan Zhou, Yuao Wang, Na Zhu, Xuyun Zhang, Hongwang Xiao, Yuan Miao, Bo Li
2024 J jnl
J. Sci. Comput.
Na Zhu, Hongxing Rui
2024 J jnl
J. Comput. Appl. Math.
Na Zhu, Hongxing Rui
2024 J jnl
J. Comput. Phys.
Meiling Zhao, Na Zhu, Liqun Wang
2024 J jnl
CoRR
Zeren Zhang, Jo-Ku Cheng, Jingyang Deng, Lu Tian, Jinwen Ma, Ziran Qin, Xiaokai Zhang, Na Zhu, Tuo Leng
2024 C conf
HIS
Na Zhu, Wenjun Luo, Zhisheng Huang
2024 J jnl
CoRR
Jia Zou, Xiaokai Zhang, Yiming He, Na Zhu, Tuo Leng
2024 J jnl
Symmetry
Jia Zou, Xiaokai Zhang, Yiming He, Na Zhu, Tuo Leng
2024 J jnl
CoRR
Xiaokai Zhang, Na Zhu, Yiming He, Jia Zou, Cheng Qin, Yang Li, Zhenbing Zeng, Tuo Leng
2024 J jnl
Symmetry
Na Zhu, Xiaokai Zhang, Qike Huang, Fangzhen Zhu, Zhenbing Zeng, Tuo Leng
2024 J jnl
Symmetry
Xiaokai Zhang, Na Zhu, Yiming He, Jia Zou, Cheng Qin, Yang Li, Tuo Leng
2024 J jnl
Symmetry
Yiming He, Jia Zou, Xiaokai Zhang, Na Zhu, Tuo Leng
2024 J jnl
CoRR
Yiming He, Jia Zou, Xiaokai Zhang, Na Zhu, Tuo Leng
2023 J jnl
Appl. Math. Lett.
Na Zhu, Hongxing Rui
2023 conf
ICETC
Xuexue Gao, Na Zhu, Yu Zeng, Yuhan Dong, Wenshuang Ge, Shutian Liu
2023 J jnl
CoRR
Xiaokai Zhang, Na Zhu, Yiming He, Jia Zou, Qike Huang, Xiaoxiao Jin, Yanjun Guo, Chenyang Mao, Zhe Zhu, Dengfeng Yue, Fangzhen Zhu, Yang Li, Yifan Wang, Yiwen Huang, Runan Wang, Cheng Qin, Zhenbing Zeng, Shaorong Xie, Xiangfeng Luo, Tuo Leng
2023 J jnl
J. Comput. Phys.
Meiling Zhao, Na Zhu, Liqun Wang
2022 conf
EITCE
Xiaodie Wu, Na Zhu, Yukun Wang
2022 J jnl
IET Image Process.
Na Zhu, Guangzhe Zhao, Xiaolong Zhang, Zhexue Jin
2022 conf
ISSSR
Jianbing Yang, Na Zhu, Haojun Ji, Bin He
2021 J jnl
Comput. Appl. Math.
Meiling Zhao, Na Zhu, Liqun Wang
2021 conf
ICETM
Na Zhu, Yan Zheng, Dong Han, Hongliang Ma
2020 J jnl
IEEE Access
Mingyang Wang, Shijia Jiao, Jiaqi Zhang, Xiangrong Zhang, Na Zhu
2020 J jnl
Scientometrics
Mingyang Wang, Jiaqi Zhang, Shijia Jiao, Xiangrong Zhang, Na Zhu, Guangsheng Chen
2019 J jnl
J. Comput. Phys.
Meiling Zhao, Na Zhu
2019 J jnl
CoRR
Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis
2018 conf
ICC
Orestis Akrivopoulos, Na Zhu, Dimitrios Amaxilatis, Christos Tselios, Aris Anagnostopoulos, Ioannis Chatzigiannakis
2018 conf
PerCom Workshops
Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis
2018 conf
ICNC-FSKD
Na Zhu
2018 J jnl
Scientometrics
Yashuang Qi, Na Zhu, Yujia Zhai, Ying Ding
2015 J jnl
Bioinform.
Na Zhu, Verena Heinrich, Thorsten Dickhaus, Jochen Hecht, Peter N. Robinson, Stefan Mundlos, Tom Kamphans, Peter M. Krawitz
2013 conf
ICIC (1)
Ying Yuan, Cuirong Wang, Na Zhu, Cong Wan, Cong Wang
2012 conf
ICICA (LNCS)
Linlin Dong, Lixin Sun, Xiaoming Jiang, Na Zhu
2010 J jnl
Photonic Netw. Commun.
Na Zhu, Ying Zhang, Yumei Cai, Fei Han
2008 J jnl
Photonic Netw. Commun.
Na Zhu, Yawei Duan
2006 J jnl
Photonic Netw. Commun.
Na Zhu, Haijin Sun, Naifu Zhou
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"