Chang Deng

27 papers A* 3B 3C 2Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Chang Deng, Bryon Aragam
2025 J jnl
Ad Hoc Networks
Chang Deng, Xiuwen Fu, Claudio Savaglio, Giancarlo Fortino
2025 J jnl
Comput. Networks
Xiuwen Fu, Chang Deng, Antonio Guerrieri
2024 J jnl
Stat. Comput.
Xin Chen, Chang Deng, Shuaida He, Runxiong Wu, Jia Zhang
2024 J jnl
CoRR
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2024 A* conf
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 A* conf
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 J jnl
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2023 A* conf
ICML
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
2023 J jnl
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2022 J jnl
IEEE Access
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2022 J jnl
Remote. Sens.
Ronghua Yang, Chang Deng, Kegen Yu, Zhao Li, Leixilan Pan
2021 conf
IEEE BigData
Sicong Liang, Chang Deng, Yu Zhang
2021 conf
ECML/PKDD (1)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020 J jnl
ISPRS Int. J. Geo Inf.
Zejun Xiang, Ronghua Yang, Chang Deng, Mingxing Teng, Mengkun She, Degui Teng
2020 J jnl
CoRR
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020 conf
BigCom
Xiang Cui, Ji Zhang, Hao Zhou, Chang Deng
2020 conf
ISAIMS
Rongqiang Shao, Yan Chen, Chang Deng, Qingyue Gong
2020 J jnl
CoRR
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2019 B conf
GLOBECOM
Chang Deng, Wenjun Xu, Chia-Han Lee, Hui Gao, Wenbo Xu, Zhiyong Feng
2018 conf
ICCSIP (1)
Chang Deng, Jun Lu
2007 B conf
SMC
Chang Deng, Özge Uncu, William A. Gruver
2005 J jnl
IEEE Trans. Ind. Electron.
Meng Joo Er, Chang Deng
2004 C conf
ICARCV
Chang Deng, Meng Joo Er, Jing Xu
2004 J jnl
IEEE Trans. Syst. Man Cybern. Part B
Meng Joo Er, Chang Deng
2003 B conf
SMC
Chang Deng, Meng Joo Er
2002 C conf
ICARCV
Meng Joo Er, Chang Deng
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