Haiyang Feng

34 papers Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decis. Support Syst.
Wenfan Zhao, Haiyang Feng, Nan Feng, Minqiang Li
2026 J jnl
Inf. Syst. Frontiers
Jingjing Li, Haiyang Feng, Nan Feng, Nan Yuan
2025 J jnl
Inf. Syst. Res.
Haiyang Feng, Nan Feng, Ling Zhang, Zhengrui Jiang, Minqiang Li
2025 J jnl
IEEE Trans. Engineering Management
Wenshuo Zhang, Minqiang Li, Haiyang Feng, Nan Feng
2025 J jnl
Decis. Support Syst.
Jiahe Wang, Nan Feng, Haiyang Feng, Minqiang Li
2025 J jnl
Inf. Manag.
Haiyang Feng, Muzi Li, Wenfan Zhao, Nan Feng
2025 J jnl
J. Assoc. Inf. Syst.
Danyu Liang, Haiyang Feng, Xinxue (Shawn) Qu, Nan Feng, Minqiang Li
2024 conf
CyberSciTech
Haikuo Zhang, Weizhen Han, Haiyong Shi, Haiyang Feng, Jin Hu
2024 J jnl
J. Assoc. Inf. Syst.
Nan Feng, Tianlu Zhou, Haiyang Feng, Minqiang Li
2024 J jnl
Ind. Manag. Data Syst.
Ling Zhang, Nan Feng, Haiyang Feng, Minqiang Li
2024 J jnl
IEEE Trans. Engineering Management
Chongkai Wang, Minqiang Li, Haiyang Feng, Nan Feng
2024 conf
CyberSciTech
Haiyang Feng, Weizhen Han, Haikuo Zhang, Lisha Yang, Meng Xu
2023 J jnl
Inf. Manag.
Fuzan Chen, Aijun Lu, Harris Wu, Minqiang Li, Haiyang Feng
2023 conf
PACIS
Wanying Chen, Haiyang Feng, Nan Feng, Yi Wu
2023 conf
PACIS
Sihang Chen, Haiyang Feng, Minqiang Li
2023 J jnl
Ind. Manag. Data Syst.
Bin Zhao, Haoquan Tan, Chi Zhou, Haiyang Feng
2023 J jnl
Int. J. Electron. Commer.
Chongkai Wang, Minqiang Li, Haiyang Feng, Nan Feng
2022 J jnl
Inf. Manag.
Nan Feng, Jia Su, Haiyang Feng, Minqiang Li
2022 J jnl
J. Assoc. Inf. Syst.
Nan Yuan, Haiyang Feng, Minqiang Li, Nan Feng
2021 J jnl
Decis. Support Syst.
Nan Feng, JianJian Chen, Haiyang Feng, Minqiang Li
2021 J jnl
Electron. Commer. Res. Appl.
Charlie Wang, Minqiang Li, Haiyang Feng, Nan Feng
2020 J jnl
MIS Q.
Haiyang Feng, Zhengrui Jiang, Minqiang Li, Nan Feng
2020 J jnl
Int. J. Electron. Commer.
Yu Wang, Minqiang Li, Haiyang Feng, Nan Feng
2020 J jnl
Electron. Commer. Res. Appl.
Nan Feng, JianJian Chen, Haiyang Feng, Minqiang Li
2020 J jnl
Inf. Manag.
Nan Feng, Yufan Chen, Haiyang Feng, Dahui Li, Minqiang Li
2019 J jnl
Inf. Technol. Manag.
Yu Wang, Minqiang Li, Haiyang Feng, Nan Feng
2018 conf
WEB
Ronghui Wang, Lin Chen, Haiyang Feng, Guofang Nan, Minqiang Li
2018 conf
CONF-IRM
Nan Feng, Haiyang Feng, Jie Zhang, Yufan Chen, Minqiang Li
2018 J jnl
MIS Q.
Haiyang Feng, Zhengrui Jiang, Dengpan Liu
2017 J jnl
Comput. Ind. Eng.
Xiaoxiao Luo, Minqiang Li, Haiyang Feng, Nan Feng
2014 J jnl
Soft Comput.
Haiyang Feng, Minqiang Li, Fuzan Chen
2013 J jnl
Comput. Ind. Eng.
Haiyang Feng, Minqiang Li, Fuzan Chen
2013 J jnl
Comput. Oper. Res.
Minqiang Li, Haiyang Feng, Fuzan Chen, Jisong Kou
2012 J jnl
Comput. Ind. Eng.
Minqiang Li, Haiyang Feng, Fuzan Chen
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