Caihong Liu

39 papers B 2Journal 17Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Eng. Appl. Artif. Intell.
An Xie, Qiang Lin, Xianwu Zeng, Yongchun Cao, Zhengxing Man, Caihong Liu, Zhengqi Cai, Xiaodi Huang
2026 J jnl
Biomed. Signal Process. Control.
Hongqin Xiang, Yongchun Cao, Qiang Lin, Tongtong Li, Jingjun Wei, Caihong Liu, Zhengqi Cai, Xiaodi Huang
2026 J jnl
Expert Syst. Appl.
Ailing Xie, Qiang Lin, Xianwu Zeng, Yongchun Cao, Caihong Liu, Xiaodi Huang
2026 J jnl
Biomed. Signal Process. Control.
Tao Song, Qiang Lin, Xianwu Zeng, Yongchun Cao, Zhengxing Man, Caihong Liu, Zhengqi Cai, Chun Gui, Xiaodi Huang
2025 J jnl
IET Image Process.
Yunlong Zhao, Qiang Lin, Junfeng Mao, Jingjun Wei, Yongchun Cao, Zhengxing Man, Caihong Liu, Jingyan Ma, Xiaodi Huang
2025 J jnl
Trans. GIS
Caihong Liu, Chonghui Guo
2025 J jnl
J. Comput. Inf. Syst.
Weibin Wang, Jonah Ji, Caihong Liu, June Wei
2023 conf
ICSPCC
Caihong Liu, Zhou Bin, Gongbing Shan
2023 B conf
SMC
Xin Zheng, Yuming Zhu, Caihong Liu, Lei He, Bingxu Mu
2023 B conf
SMC
Caihong Liu, Yuming Zhu, Bingxu Mu, Lei He
2023 conf
ICSPCC
Caihong Liu, Yan Qi, Li Qing
2023 conf
ICRSA
Caihong Liu, Changhui Liu
2022 J jnl
J. Comput. Inf. Syst.
Caihong Liu, Hannah Ji, June Wei
2022 conf
IEEM
Caihong Liu, Yuming Zhu, Jia-He Zhou, Jiangtao Xia
2022 J jnl
Inf.
Caihong Liu, Mayire Ibrayim, Askar Hamdulla
2022 J jnl
Sensors
Caihong Liu, Mayire Ibrayim, Askar Hamdulla
2022 conf
IEEM
Yong Zhao, Jiangtao Xia, Caihong Liu
2022 J jnl
J. Comput. Inf. Syst.
Caihong Liu, Hannah Ji, June Wei
2021 conf
HCI (35)
Siqi Yin, Caihong Liu, Yi Xie, Shui Yu
2021 J jnl
Expert Syst. Appl.
Caihong Liu, Chonghui Guo
2021 conf
IEEM
Yong Zhao, Jiangtao Xia, Caihong Liu
2021 conf
ICSPCC
Caihong Liu, Zhenjia Dou, Yu Hu, Hongsong Zhou
2021 conf
HCI (35)
Caihong Liu, Hannah Ji, June Wei
2021 conf
HCI (43)
Caihong Liu, Hannah Ji, June Wei
2021 conf
ICSPCC
Caihong Liu, Qiming Ma, Yuhong Pang, Huakui Wang
2021 J jnl
Frontiers Comput. Sci.
Qiang Lin, Yusheng Hao, Caihong Liu
2020 conf
ICSPCC
Caihong Liu, Qing Li, Yu Hu, Hongsong Zhou
2020 J jnl
Int. J. Internet Protoc. Technol.
Yucai Zhou, Xiaoya Xu, Caihong Liu, Yuelin Li
2020 conf
HCI (36)
Caihong Liu, June Wei
2020 J jnl
Expert Syst. Appl.
Caihong Liu, Chonghui Guo
2020 conf
HCI (36)
Caihong Liu, Hannah Ji, June Wei
2020 conf
HCI (36)
Caihong Liu, June Wei
2018 J jnl
Inf.
Caihong Liu, Qiang Liu
2018 conf
ICSPCC
Caihong Liu, Qi Yan, Yuhong Pang, Hongsong Zhou
2018 conf
ICSAI
Xiuping Chen, Caihong Liu, Jinshui Ji, Cairen Pucuo, Wei Zhang
2017 conf
ICPCSEE (2)
Caihong Liu, Chonghui Guo
2017 J jnl
Int. J. Online Eng.
Xiaobin Shu, Caihong Liu, Chunxia Jiao, Qin Wang, Hongfeng Yin
2017 conf
ICSPCC
Caihong Liu, Hongsong Zhou, Xiukun Li
2008 conf
FSKD (5)
Lei Lu, Caiming Zhang, Caihong Liu
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