Kai Ding

38 papers Journal 36Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Robotics Autom. Lett.
Yaqian Zhang, Yang Zhang, Kai Ding, Qingyuan Mao, Xiangang Cao
2026 J jnl
IEEE Internet Things J.
Qingdi Liu, Bin Li, Kai Ding, Yirong Zhang
2026 J jnl
Neurocomputing
Yirong Zhang, Kai Ding, Zhongguan Liu, Felix T. S. Chan
2026 J jnl
Robotics Comput. Integr. Manuf.
Kai Ding, Qingyuan Mao, Yaqian Zhang, Yirong Zhang, Pai Zheng, Lihui Wang
2025 J jnl
Adv. Eng. Informatics
Qingfeng Xu, Fei Qiu, Guanghui Zhou, Chao Zhang, Kai Ding, Fengtian Chang, Fengyi Lu, Yongrui Yu, Dongxu Ma, Jiancong Liu
2025 J jnl
Robotics Comput. Integr. Manuf.
Chao Zhang, Qingfeng Xu, Yongrui Yu, Guanghui Zhou, Keyan Zeng, Fengtian Chang, Kai Ding
2025 J jnl
Int. J. Prod. Res.
Jizhuang Hui, Kangqian Zheng, Kai Ding, Xueliang Zhou, Jingxiang Lv, Felix T. S. Chan
2025 J jnl
Int. J. Comput. Integr. Manuf.
Weichen Liu, Jizhuang Hui, Kai Ding, Fuqiang Zhang
2025 J jnl
Adv. Eng. Informatics
Guanghui Zhou, Chong Han, Chao Zhang, Yaguang Zhou, Keyan Zeng, Jiancong Liu, Jiacheng Li, Kai Ding, Felix T. S. Chan
2024 J jnl
Int. J. Comput. Integr. Manuf.
Yongsheng Liu, Xinhui Zhang, Kai Ding, Jizhuang Hui, Jin Zhao, Felix T. S. Chan
2024 J jnl
Adv. Eng. Informatics
Jizhuang Hui, Yaqian Zhang, Kai Ding, Lei Guo, Chun-Hsien Chen, Lihui Wang
2024 J jnl
Int. J. Prod. Res.
Kangqian Zheng, Kai Ding, Jizhuang Hui, Fuqiang Zhang, Jingxiang Lv, Felix T. S. Chan
2024 J jnl
Adv. Eng. Informatics
Longlong He, Jiani Gao, Jiewu Leng, Yue Wu, Kai Ding, Lin Ma, Jie Liu, Duc Truong Pham
2024 J jnl
J. Intell. Manuf.
Lei Guo, Zhengcong Duan, Wanjin Guo, Kai Ding, Chul-Hee Lee, Felix T. S. Chan
2024 J jnl
Robotics Comput. Integr. Manuf.
Yaqian Zhang, Kai Ding, Jizhuang Hui, Sichao Liu, Wanjin Guo, Lihui Wang
2023 J jnl
Comput. Ind. Eng.
Fengtian Chang, Guanghui Zhou, Qian Huang, Kai Ding, Wei Cheng, Jizhuang Hui, Yifan Zhi, Chao Zhang
2023 J jnl
Comput. Ind. Eng.
Yongkui Liu, Yuangang Zheng, Hongguang Bo, Kai Ding, Felix T. S. Chan
2023 J jnl
Int. J. Prod. Res.
Felix T. S. Chan, Kai Ding
2023 J jnl
Int. J. Prod. Res.
Jingyuan Lei, Jizhuang Hui, Fengtian Chang, Salim Dassari, Kai Ding
2023 J jnl
Adv. Eng. Informatics
Chao Zhang, Zenghui Wang, Guanghui Zhou, Fengtian Chang, Dongxu Ma, Yanzhen Jing, Wei Cheng, Kai Ding, Dan Zhao
2022 J jnl
Adv. Eng. Informatics
Fuqiang Zhang, Lei Wu, Weichen Liu, Kai Ding, Jizhuang Hui, Jiewu Leng, Xueliang Zhou
2022 J jnl
Adv. Eng. Informatics
Yaqian Zhang, Kai Ding, Jizhuang Hui, Jingxiang Lv, Xueliang Zhou, Pai Zheng
2022 J jnl
Knowl. Based Syst.
Chao Zhang, Guanghui Zhou, Jingjing Li, Tianyu Qin, Kai Ding, Fengtian Chang
2022 J jnl
Adv. Eng. Informatics
Bin Zhu, Yaqian Zhang, Kai Ding, Felix T. S. Chan, Jizhuang Hui, Fuqiang Zhang
2021 J jnl
Artif. Intell. Eng. Des. Anal. Manuf.
Jizhuang Hui, Jingyuan Lei, Kai Ding, Fuqiang Zhang, Jingxiang Lv
2020 J jnl
Int. J. Prod. Res.
Chaoyang Zhang, Zhengxu Wang, Kai Ding, Felix T. S. Chan, Weixi Ji
2020 J jnl
Robotics Comput. Integr. Manuf.
Kai Ding, Jingyuan Lei, Felix T. S. Chan, Jizhuang Hui, Fuqiang Zhang, Yan Wang
2020 J jnl
Int. J. Prod. Res.
Guanghui Zhou, Chao Zhang, Zhi Li, Kai Ding, Chuang Wang
2020 J jnl
Int. J. Comput. Integr. Manuf.
Fuqiang Zhang, Jingjing Li, Jizhuang Hui, Bin Zhu, Kai Ding
2019 J jnl
IEEE Access
Qingtao Liu, Ziyu Shang, Kai Ding, Jingxiang Lv
2019 J jnl
Int. J. Prod. Res.
Kai Ding, Felix T. S. Chan, Xudong Zhang, Guanghui Zhou, Fuqiang Zhang
2019 J jnl
IEEE Access
Kai Ding, Jingjing Li, Fuqiang Zhang, Jizhuang Hui, Qingtao Liu
2019 J jnl
IEEE Access
Kai Ding, Xudong Zhang, Felix T. S. Chan, Ching-Yuen Chan, Chuang Wang
2018 J jnl
IEEE CAA J. Autom. Sinica
Kai Ding, Pingyu Jiang
2018 conf
ICNSC
Kai Ding, He Shi, Jizhuang Hui, Yongjian Liu, Bin Zhu, Fuqiang Zhang, Wei Cao
2017 J jnl
J. Intell. Manuf.
Kai Ding, Pingyu Jiang, Mei Zheng
2017 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Kai Ding, Pingyu Jiang, Peilu Sun, Chuang Wang
2016 conf
SOLI
Pingyu Jiang, Jiewu Leng, Kai Ding
redb/extractors/macho_extractor.py
← Index redb/extractors/macho_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect
import sys
import os

import machofile

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class MachOExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        # Read binary and parse machofile BEFORE calling super().__init__
        # This avoids reading the file twice
        with open(filepath, "rb") as f:
            binary_data = f.read()

        # Parse machofile with binary data
        self.macho = macho if macho else self._generate_machofile_object(binary_data)

        # Extract hashes from machofile to pass to parent
        precomputed_hashes = None
        if self.macho:
            try:
                general_info = self.macho.get_general_info()
                if general_info:
                    # For FAT binaries, get_general_info() returns dict with 'fat' key
                    # For single-arch, it returns the info directly
                    if 'fat' in general_info:
                        fat_info = general_info['fat']
                        precomputed_hashes = {
                            'MD5': fat_info.get('MD5'),
                            'SHA1': fat_info.get('SHA1'),
                            'SHA256': fat_info.get('SHA256'),
                        }
                    else:
                        precomputed_hashes = {
                            'MD5': general_info.get('MD5'),
                            'SHA1': general_info.get('SHA1'),
                            'SHA256': general_info.get('SHA256'),
                        }
            except Exception as e:
                logger.debug(f"Could not get hashes from machofile: {e}")

        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            precomputed_hashes=precomputed_hashes,
        )

        # Store binary data so base class doesn't re-read
        self._binary_data = binary_data

    @property
    def binary(self):
        """Override to use already-read binary data."""
        return self._binary_data

    def _generate_machofile_object(self, binary_data):
        """Generate and parse a machofile object from binary data."""
        macho = None
        try:
            macho = machofile.UniversalMachO(data=binary_data)
            if not macho:
                raise Exception("Empty file?")

            # Parse the MachO object once during initialization
            macho.parse()

        except Exception as e:
            logger.error(f"Format error parsing MachO: {e}")
        return macho

    # def _is_macho_file(self):
    #     """Check if the file is a valid Mach-O binary."""
    #     try:
    #         if not self.macho:
    #             return False
            
    #         # For Universal/FAT binaries, check if any architecture is valid
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             return len(self.macho.architectures) > 0
    #         else:
    #             # Single architecture binary
    #             return hasattr(self.macho, 'macho') and self.macho.macho is not None
    #     except Exception as e:
    #         self.log.error(f"Error checking Mach-O file: {e}")
    #         return False

    def _is_signed(self):
        """Check if the Mach-O binary is code signed using new API."""
        try:
            if not self.macho:
                return False

            # Get architectures using new API
            architectures = self.macho.get_architectures()

            # For each architecture, check if signed
            for arch in architectures:
                try:
                    signature_info = self.macho.get_code_signature_info(arch=arch)
                    if signature_info and signature_info.get('signed', False):
                        return True
                except Exception:
                    continue

            return False
        except Exception as e:
            self.log.error(f"Error checking Mach-O signature: {e}")
            return False

    def _get_architectures(self):
        """Get list of architectures in the Mach-O binary using new API."""
        try:
            if not self.macho:
                return []

            # Use new API method
            architectures = self.macho.get_architectures()
            return architectures if architectures else []
        except Exception as e:
            self.log.error(f"Error getting architectures: {e}")
            return []

    # def _get_macho_for_arch(self, arch_name=None):
    #     """Get MachO instance for specific architecture or default."""
    #     try:
    #         if not self.macho:
    #             return None
            
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             if arch_name:
    #                 return self.macho.architectures.get(arch_name)
    #             else:
    #                 # Return first available architecture
    #                 return next(iter(self.macho.architectures.values())) if self.macho.architectures else None
    #         else:
    #             # Single architecture binary
    #             return self.macho.macho if hasattr(self.macho, 'macho') else None
    #     except Exception as e:
    #         self.log.error(f"Error getting MachO for architecture: {e}")
    #         return None

    # def _get_formatted_header_values(self, header):
    #     """Get both raw and human-readable header values."""
    #     try:
    #         macho_instance = self._get_macho_for_arch()
    #         if not macho_instance:
    #             return None
            
    #         # Parse the MachO if not already parsed
    #         if not hasattr(macho_instance, 'header') or not macho_instance.header:
    #             macho_instance.parse()
            
    #         # Get human-readable values using machofile's formatting methods
    #         magic_str = macho_instance.format_magic_value(header.get('magic', 0))
            
    #         # Simple CPU type mapping since CPU_TYPE_MAP is not exposed
    #         cputype = header.get('cputype', 0)
    #         if cputype == 0x7:
    #             cputype_str = "x86"
    #         elif cputype == 0x1000007:
    #             cputype_str = "x86_64"
    #         elif cputype == 0xC:
    #             cputype_str = "ARM"
    #         elif cputype == 0x100000C:
    #             cputype_str = "ARM 64-bit"
    #         else:
    #             cputype_str = str(cputype)
            
    #         cpusubtype_str = macho_instance.decode_cpusubtype(header.get('cputype', 0), header.get('cpusubtype', 0))
    #         filetype_str = macho_instance.format_file_type(header.get('filetype', 0))
    #         flags_str = macho_instance.decode_flags(header.get('flags', 0))
            
    #         return {
    #             'raw': {
    #                 'magic': header.get('magic', 0),
    #                 'cputype': header.get('cputype', 0),
    #                 'cpusubtype': header.get('cpusubtype', 0),
    #                 'filetype': header.get('filetype', 0),
    #                 'flags': header.get('flags', 0),
    #             },
    #             'formatted': {
    #                 'magic_str': magic_str,
    #                 'cputype_str': cputype_str,
    #                 'cpusubtype_str': cpusubtype_str,
    #                 'filetype_str': filetype_str,
    #                 'flags_str': flags_str,
    #             }
    #         }
    #     except Exception as e:
    #         self.log.error(f"Error formatting header values: {e}")
    #         return None