Haijiao Liu

21 papers A* 2B 1Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Electron. Agric.
Yapeng Zhang, Juan Liu, Shangzhou Li, Sifan Feng, Ziqi Sun, Yanan Cui, Haijiao Liu, Juanjuan Zhang, Fernando Auat Cheein, Wei Guo
2024 conf
ICIC (LNAI 3)
Jiaqian Yin, Jie Zhou, Yongxue Shan, Jie Peng, Haijiao Liu, Xin Zhou, Xiaodong Wang
2024 B conf
IJCNN
Xin Zhou, Yongxue Shan, Zixuan Dong, Haijiao Liu, Xiaodong Wang
2023 J jnl
Knowl. Based Syst.
Haijiao Liu, Huifang Ma, Zhixin Li, Liang Chang
2023 conf
NLPCC (2)
Fei Hu, Shenpo Dong, Tao Chang, Jie Zhou, Haili Li, Jingnan Wang, Rui Chen, Haijiao Liu, Xiaodong Wang
2019 conf
PAKDD (Workshops)
Ting Tuo, Huifang Ma, Haijiao Liu, Jiahui Wei
2019 conf
KSEM (1)
Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu
2019 J jnl
IEEE Access
Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu
2018 J jnl
Comput. Math. Appl.
Jun Zhang, Haijiao Liu, Zhihui Wei
2018 conf
CSPS (2)
Peng Qin, Haijiao Liu, Xiaonan Zhao, Yingyuan Gao, Zhou Lu, Bin Zhou
2017 J jnl
IEEE Robotics Autom. Lett.
Jun Liu, Zhuoran Zhang, Xiang Wang, Haijiao Liu, Qili Zhao, Chao Zhou, Min Tan, Huayan Pu, Shaorong Xie, Yu Sun
2016 conf
OFC
Haijiao Liu, Nan Hua, Yao Li, Yanhe Li, Xiaoping Zheng
2016 J jnl
JOCN
Zhizhen Zhong, Nan Hua, Massimo Tornatore, Yao Li, Haijiao Liu, Chen Ma, Yanhe Li, Xiaoping Zheng, Biswanath Mukherjee
2016 conf
OFC
Haijiao Liu, Nan Hua, Yao Li, Yanhe Li, Xiaoping Zheng
2016 conf
ICIA
Jun Liu, Zhuoran Zhang, Hirotaka Tao, Ji Ge, Haijiao Liu, Jun Wen, Sevan Hopyan, Huayan Pu, Shaorong Xie, Yu Sun
2015 J jnl
IEEE Robotics Autom. Mag.
Jun Liu, Chaoyang Shi, Jun Wen, Derek Pyne, Haijiao Liu, Changhai Ru, Jun Luo, Shaorong Xie, Yu Sun
2015 A* conf
ICRA
Jun Wen, Jun Liu, Kimberly Lau, Haijiao Liu, Sevan Hopyan, Yu Sun
2015 A* conf
ICRA
Jun Liu, Chaoyang Shi, Jun Wen, Derek Pyne, Haijiao Liu, Changhai Ru, Yu Sun
2014 conf
NEMS
Haijiao Liu, Jun Wen, Jun Liu, Sevan Hopyan, Craig Simmons, Yu Sun
2013 J jnl
Photonic Netw. Commun.
Haijiao Liu, Nan Hua, Lei Wang, Xiaoping Zheng, Zhigang Liu
2013 conf
ICSI (1)
Yuzhi Shi, Haijiao Liu, Mingyuan Fan, Jiwen Huang
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