Haiquan Qiu

26 papers A* 5Misc 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Artif. Intell.
Yongqi Zhang, Haiquan Qiu, Shuzhi Liu, Enjun Du, Quanming Yao
2026 J jnl
CoRR
Yangzhe Peng, Haiquan Qiu, Quanming Yao, Kun He
2025 A* conf
ICDE
Haiquan Qiu, Quanming Yao
2025 J jnl
CoRR
Haiquan Qiu, You Wu, Yingjie Tan, Yaqing Wang, Quanming Yao
2025 J jnl
CoRR
Haiquan Qiu, You Wu, Quanming Yao
2025 A* conf
EMNLP
Haiquan Qiu, You Wu, Dong Li, Jianmin Guo, Quanming Yao
2025 J jnl
CoRR
Haiquan Qiu, Quanming Yao
2024 J jnl
CoRR
Haiquan Qiu, Yatao Bian, Quanming Yao
2024 J jnl
CoRR
Haiquan Qiu, Shuzhi Liu, Quanming Yao
2024 A* conf
ICLR
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
2023 J jnl
CoRR
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
2023 J jnl
Int. J. Mach. Learn. Cybern.
Ding Zhang, Youlong Yang, Haiquan Qiu
2023 J jnl
Pattern Recognit.
Haiquan Qiu, Youlong Yang, Hua Pan
2022 A* conf
ICML
Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao
2022 J jnl
Appl. Intell.
Mingxue Jiang, Youlong Yang, Haiquan Qiu
2022 J jnl
Knowl. Based Syst.
Haiquan Qiu, Youlong Yang, Saeid Rezakhah
2022 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng
2021 A* conf
CVPR
Haiquan Qiu, Yao Wang, Deyu Meng
2021 J jnl
Inf. Sci.
Haiquan Qiu, Youlong Yang, Benchong Li
2021 J jnl
Neural Comput. Appl.
Zhiwen Hua, Youlong Yang, Haiquan Qiu
2021 Misc conf
ICASSP
Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang
2020 J jnl
Soft Comput.
Danni Wei, Youlong Yang, Haiquan Qiu
2016 J jnl
Medical Biol. Eng. Comput.
Jianpeng Qiu, Zhiyi Qu, Haiquan Qiu, Xiaomin Zhang
2011 conf
FSKD
Haiquan Qiu, Yongchao Hou, Hua Pan
2010 conf
FSKD
Yongchao Hou, Haiquan Qiu
2007 conf
ICFIE
Hua Pan, Haiquan Qiu, Bing-Yuan Cao, Yongchao Hou
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