Xiaobo Chen

40 papers B 3C 2Misc 1Journal 23Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Swarm Evol. Comput.
Li Zhang, Xiaobo Chen
2025 J jnl
Eng. Appl. Artif. Intell.
Weilong Dai, Zuoyong Li, Xiaofeng Xu, Xiaobo Chen, Huanqiang Zeng, Rong Hu
2025 J jnl
Comput. Chem. Eng.
Zhibo Zhang, Yani Wang, Mengzhen Zhu, Zhenhua Zhao, Lingling Lv, Hanguo Zhu, Xingong Zhang, Xin Zhou, Hao Yan, Chaohe Yang, Xiaobo Chen
2025 J jnl
IEEE Trans. Multim.
Kai Hu, Xiaobo Chen, Zhineng Chen, Yuan Zhang, Xieping Gao
2025 J jnl
BMC Medical Imaging
Zhihui Shi, Lin Wu, Dengke Jiang, Ruiling Yang, Rui Liao, Lizhu Liu, Ruimin You, Yanli Li, Xingxiang Dong, Dafu Zhang, Jing Wang, Xuewen Zhang, Xiaobo Chen, Zhenhui Li
2024 J jnl
IEEE Access
Li Zhang, Xiaobo Chen
2024 J jnl
J. Intell. Fuzzy Syst.
Li Zhang, Xiaobo Chen
2024 J jnl
IEEE Trans. Engineering Management
Ming Yuan, Xuetong Wang, Han Lin, Hengqin Wu, Mingchuan Yu, Xiaobo Chen
2024 C conf
ICIS
Lin Chen, Xiaobo Chen
2024 conf
CIPAE
Lanyue Huang, Qiaohui Chen, Xiaobo Chen, Qian Peng
2024 J jnl
CoRR
Alan Wake, Bei Chen, C. X. Lv, Chao Li, Chengen Huang, Chenglin Cai, Chujie Zheng, Daniel Cooper, Fan Zhou, Feng Hu, Guoyin Wang, Heng Ji, Howard Qiu, Jiangcheng Zhu, Jun Tian, Katherine Su, Lihuan Zhang, Liying Li, Ming Song, Mou Li, Peng Liu, Qicheng Hu, Shawn Wang, Shijun Zhou, Shiming Yang, Shiyong Li, Tianhang Zhu, Wen Xie, Xiang He, Xiaobo Chen, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Yanpeng Li, Yongke Zhao, Yongzhen Luo, Yuchi Xu, Yuxuan Sha, Zhaodong Yan, Zhiyuan Liu, Zirui Zhang, Zonghong Dai
2023 conf
ASICON
Weizhen Cai, Jianjun Zhou, Xiaobo Chen, Xiaoming Liu
2022 J jnl
Multim. Tools Appl.
Li Zhang, Xiaobo Chen
2022 J jnl
Pattern Recognit.
Yanan Wang, Zhuqing Jiang, Chang Liu, Kai Li, Aidong Men, Haiying Wang, Xiaobo Chen
2021 J jnl
Ind. Manag. Data Syst.
Ming-Lang Tseng, Thi Phuong Thuy Tran, Kuo-Jui Wu, Bing Xue, Xiaobo Chen
2021 J jnl
Comput. Chem. Eng.
Xin Zhou, Mingyue Zhao, Nan Sheng, Lei Tang, Xiang Feng, Hui Zhao, Yibin Liu, Xiaobo Chen, Hao Yan, Chaohe Yang
2021 J jnl
IEEE Access
Li Zhang, Xiaobo Chen
2021 J jnl
J. Comput. Appl. Math.
Ruipeng Li, Xiaobo Chen, Wenyang Duan
2021 conf
BIC
Qifang Liang, Buping Liu, Chunping Liu, Wenxing Liu, Xiaoxue Han, Limei Wan, Xiaobo Chen, Peng Wu, Hongyu Li, Yujiao Sun, Yubin Yang, Weixiong Chen
2020 J jnl
Remote. Sens.
Yue Wu, Wenping Ma, Maoguo Gong, Zhuangfei Bai, Wei Zhao, Qiongqiong Guo, Xiaobo Chen, Qiguang Miao
2020 J jnl
Traitement du Signal
Xiaobo Chen, Lin Zhao, Yong Hao, Lianhua Yu, Chengcai Lv
2020 conf
ICITE
Ye Li, Wei Tian, Xin You, Kang Li, Jinhui Yuan, Xiaobo Chen, Linjie Pan
2020 J jnl
Sensors
Xiaobo Chen, Yanjun Wang, Ling Chen, Jianyu Ji
2020 J jnl
Sensors
Xiaobo Chen, Jianyu Ji, Yanjun Wang
2019 J jnl
J. Open Source Softw.
Michael Green, Xiaobo Chen
2018 B conf
ICPR
Xiaobo Chen
2018 B conf
ICPR
Xiaobo Chen
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jinyang Song, Feng Shen, Xiaobo Chen, Di Zhao
2017 J jnl
J. Comput. Phys.
Hui Liang, Xiaobo Chen
2015 J jnl
Neurocomputing
Yinghua Yang, Xiaole Li, Xiaozhi Liu, Xiaobo Chen
2014
Xiaobo Chen
2012 conf
ICVES
Hui Li, Xiaobo Chen, Ling Huang, Danya Yao
2012 conf
ITST
Xiaobo Chen, Danya Yao
2011 B conf
ICIP
Xiaobo Chen, Feng Ye, Fuguo Zhu, Aidong Men
2010 conf
AMT
Baocai Yin, Huirong Yang, Pengbin Fu, Xiaobo Chen
2010 Misc conf
ICNC
Yinghua Yang, Zhenhao Tang, Xiaobo Chen
2007 C conf
CCA
Xiaozhi Liu, Yinghua Yang, Shukai Qin, Xiaobo Chen
2007 conf
ACM Great Lakes Symposium on VLSI
Daniel Große, Xiaobo Chen, Gerhard W. Dueck, Rolf Drechsler
2006 conf
ICC
Xiaobo Chen, Zhisheng Niu
2006 conf
ISDA (1)
Xiaobo Chen, Xiaozhi Liu, Shukai Qin, Yinghua Yang
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