Wei Huang

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Neural Syst.
Wei Huang, Hengjiang Li, Fan Qin, Diwei Wu, Kaiwen Cheng, Huafu Chen
2026 J jnl
Neurocomputing
Wei Huang, Fan Qin, Luan Zhang, Quan Pan, Jing Guo, Yun-Shuang Fan, Huafu Chen
2026 J jnl
Inf. Fusion
Wei Huang, Hengjiang Li, Fan Qin, Jingpeng Li, Sizhuo Wang, Pengfei Yang, Luan Zhang, Yun-Shuang Fan, Jing Guo, Kaiwen Cheng, Huafu Chen
2026 J jnl
Pattern Recognit.
Wei Huang, Pengfei Yang, Fan Qin, Hengjiang Li, Jingpeng Li, Sizhuo Wang, Changde Du, Kaiwen Cheng, Huafu Chen
2025 J jnl
Int. J. Neural Syst.
Wei Huang, Ying Tang, Sizhuo Wang, Jingpeng Li, Kaiwen Cheng, Hongmei Yan
2024 J jnl
Inf. Fusion
Wei Huang, Pengfei Yang, Ying Tang, Fan Qin, Hengjiang Li, Diwei Wu, Wei Ren, Sizhuo Wang, Jingpeng Li, Yucheng Zhu, Bo Zhou, Jingyuan Sun, Qiang Li, Kaiwen Cheng, Hongmei Yan, Huafu Chen
2024 J jnl
Int. J. Neural Syst.
Rong Li, Jiyi Li, Chong Wang, Haoxiang Liu, Tao Liu, Xuyang Wang, Ting Zou, Wei Huang, Hongmei Yan, Huafu Chen
2022 J jnl
Comput. Methods Programs Biomed.
Jiang Zhang, Chen Li, Ganwanming Liu, Min Min, Chong Wang, Jiyi Li, Yuting Wang, Hongmei Yan, Zhentao Zuo, Wei Huang, Huafu Chen
2022 conf
ICMSSP
Miao Hao, Yajie Wang, Wei Huang, Minghui Wang, Hong Yang
2022 J jnl
Appl. Soft Comput.
Chaorong Li, Wei Huang, Yuanyuan Huang
2021 J jnl
Neural Networks
Wei Huang, Hongmei Yan, Kaiwen Cheng, Chong Wang, Jiyi Li, Yuting Wang, Chen Li, Chaorong Li, Yunhan Li, Zhentao Zuo, Huafu Chen
2021 J jnl
Pattern Recognit.
Chaorong Li, Yuanyuan Huang, Wei Huang, Fengqing Qin
2019 J jnl
IEEE Access
Chaorong Li, Xiaoyun Guan, Peihui Yang, Yuanyuan Huang, Wei Huang, Huafu Chen
2018 J jnl
Neurocomputing
Wei Huang, Hongmei Yan, Ran Liu, Lixia Zhu, Huangbin Zhang, Huafu Chen
2018 J jnl
CoRR
Chaorong Li, Wei Huang, Huafu Chen
2017 J jnl
Comput. Biol. Medicine
Yang Chen, Yan Luo, Wei Huang, Die Hu, Rongqin Zheng, Shu-zhen Cong, Fankun Meng, Hong Yang, Hong-jun Lin, Yan Sun, Xiu-yan Wang, Tao Wu, Jie Ren, Shu-Fang Pei, Ying Zheng, Yun He, Yu Hu, Na Yang, Hongmei Yan
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_DYLIB.value

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_dylibs"