Weihua Dong

33 papers C 2Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Int. J. Geogr. Inf. Sci.
Anran Yang, Cheng Fu, Qingren Jia, Weihua Dong, Mengyu Ma, Hao Chen, Fei Yang, Hui Wu
2025 J jnl
Int. J. Digit. Earth
Hua Liao, Jinhua Meng, Yue Zhou, Weihua Dong
2025 J jnl
Ann. GIS
Qiaosong Hei, Tianyu Yang, Weihua Dong, Bing He, Donghui Han
2025 J jnl
Ann. GIS
Tianyu Yang, Bo Zhao, Song Gao, Weihua Dong
2025 J jnl
Comput. Electron. Agric.
Chunfeng Gao, Bing He, Wei Guo, Ying Qu, Qiao Wang, Weihua Dong
2024 J jnl
Geo spatial Inf. Sci.
Bowen Shi, Weihua Dong, Zhicheng Zhan
2024 J jnl
J. Locat. Based Serv.
Haosheng Huang, Yi Cheng, Weihua Dong, Georg Gartner, Jukka Matthias Krisp, Liqiu Meng
2024 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Bing He, Tong Qin, Bowen Shi, Weihua Dong
2024 J jnl
CoRR
Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng
2023 J jnl
ISPRS Int. J. Geo Inf.
Changbo Zhang, Hua Liao, Yongbo Huang, Weihua Dong
2023 J jnl
Comput. Environ. Urban Syst.
Tong Qin, Weihua Dong, Haosheng Huang
2023 J jnl
Int. J. Geogr. Inf. Sci.
Xiaohuan Wu, Weihua Dong, Lun Wu, Yu Liu
2022 J jnl
Comput. Environ. Urban Syst.
Hua Liao, Wendi Zhao, Changbo Zhang, Weihua Dong, Haosheng Huang
2022 J jnl
ISPRS Int. J. Geo Inf.
Yuyang Tian, Tianyu Yang, Weihua Dong
2022 J jnl
Sensors
Hua Liao, Wendi Zhao, Changbo Zhang, Weihua Dong
2022 J jnl
ISPRS Int. J. Geo Inf.
Hua Liao, Changbo Zhang, Wendi Zhao, Weihua Dong
2021 J jnl
Comput. Environ. Urban Syst.
Weihua Dong, Shengkai Wang, Yu Liu
2020 J jnl
ISPRS Int. J. Geo Inf.
Weihua Dong, Zhicheng Zhan, Hua Liao, Liqiu Meng, Jiping Liu
2020 J jnl
ISPRS Int. J. Geo Inf.
Bing Liu, Weihua Dong, Zhicheng Zhan, Shengkai Wang, Liqiu Meng
2020 J jnl
Int. J. Digit. Earth
Weihua Dong, Tianyu Yang, Hua Liao, Liqiu Meng
2019 J jnl
Int. J. Geogr. Inf. Sci.
Hua Liao, Weihua Dong, Haosheng Huang, Georg Gartner, Huiping Liu
2018 J jnl
ISPRS Int. J. Geo Inf.
Weihua Dong, Shengkai Wang, Yizhou Chen, Liqiu Meng
2018 J jnl
ISPRS Int. J. Geo Inf.
Weihua Dong, Liangyu Zheng, Bing Liu, Liqiu Meng
2017 J jnl
ISPRS Int. J. Geo Inf.
Hua Liao, Weihua Dong
2017 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Weihua Dong, Jianhang Lan, Shunlin Liang, Wei Yao, Zhicheng Zhan
2017 J jnl
ISPRS Int. J. Geo Inf.
Bing Liu, Weihua Dong, Liqiu Meng
2016 conf
CNS
Luping Zhang, Hong Wen, Huanhuan Song, Jie Tang, Yixin Jiang, Weihua Dong, Xiping Zhu
2015 J jnl
ISPRS Int. J. Geo Inf.
Jun Chen, Ran Li, Weihua Dong, Yuejing Ge, Hua Liao, Yang Cheng
2015 J jnl
ISPRS Int. J. Geo Inf.
Hua Liao, Weihua Dong, Huiping Liu, Yuejing Ge
2014 J jnl
Remote. Sens.
Weihua Dong, Xian'en Li, Xiangguo Lin, Zhilin Li
2014 C conf
CIT
Ronghui Wang, Zhiguang Chen, Nong Xiao, Minxuan Zhang, Weihua Dong
2010 J jnl
Int. J. Geogr. Inf. Sci.
Zhilin Li, Weihua Dong
2006 C conf
IGARSS
Weihua Dong, Jiping Liu, Qingsheng Guo
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