Kaidi Wang

38 papers A* 2A 4C 1Misc 1Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2025 Misc conf
ICASSP
Jianglong Yao, Shenghui Lu, Pengyu Ren, Kaidi Wang, Qinyang Hong, Lin Li
2025 A conf
INTERSPEECH
Shenghui Lu, Hukai Huang, Jinanglong Yao, Kaidi Wang, Qingyang Hong, Lin Li
2025 J jnl
Artif. Intell. Medicine
Qiao Ning, Yue Wang, Yaomiao Zhao, Jiahao Sun, Lu Jiang, Kaidi Wang, Minghao Yin
2025 A conf
INTERSPEECH
Peijie Chen, Wenhao Guan, Kaidi Wang, Weijie Wu, Hukai Huang, Qingyang Hong, Lin Li
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Jianrui Du, Kaidi Wang, Yingjun Fan, Ganghua Lai, Yushu Yu
2025 J jnl
CoRR
Weijie Wu, Wenhao Guan, Kaidi Wang, Peijie Chen, Zhuanling Zha, Junbo Li, Jun Fang, Lin Li, Qingyang Hong
2025 A conf
INTERSPEECH
Pengyu Ren, Wenhao Guan, Kaidi Wang, Peijie Chen, Qingyang Hong, Lin Li
2025 J jnl
CoRR
Kaidi Wang, Wenhao Guan, Shenghui Lu, Jianglong Yao, Lin Li, Qingyang Hong
2025 J jnl
CoRR
Kaidi Wang, Yi He, Wenhao Guan, Weijie Wu, Hongwu Ding, Xiong Zhang, Di Wu, Meng Meng, Jian Luan, Lin Li, Qingyang Hong
2025 J jnl
ACM Trans. Knowl. Discov. Data
Lu Jiang, Ruilou Zhang, Yanan Xiao, Kunpeng Liu, Kaidi Wang, Minghao Yin
2025 J jnl
Neurocomputing
Yuting Feng, Tao Yang, Kaidi Wang, Jiali Sun, Yushu Yu
2025 J jnl
IEEE Trans. Robotics
Kaidi Wang, Ganghua Lai, Yushu Yu, Jianrui Du, Jiali Sun, Bin Xu, Antonio Franchi, Fuchun Sun
2024 J jnl
CoRR
Chunjiang Liu, Yikun Han, Haiyun Xu, Shihan Yang, Kaidi Wang, Yongye Su
2024 J jnl
Signal Image Video Process.
Kaidi Wang, Yuanlin Zheng, Kaiyang Liao, Haiwen Liu, Bangyong Sun
2024 conf
SLT
Hukai Huang, Jiayan Lin, Kaidi Wang, Yishuang Li, Wenhao Guan, Lin Li, Qingyang Hong
2024 J jnl
CoRR
Hukai Huang, Jiayan Lin, Kaidi Wang, Yishuang Li, Wenhao Guan, Lin Li, Qingyang Hong
2024 A conf
INTERSPEECH
Wenhao Guan, Kaidi Wang, Wangjin Zhou, Yang Wang, Feng Deng, Hui Wang, Lin Li, Qingyang Hong, Yong Qin
2024 A* conf
ICRA
Jiali Sun, Kaidi Wang, Chuanbeibei Shi, Xiujia Li, Xiaojian Yi, Yushu Yu, Fuchun Sun, Yiqun Dong
2024 J jnl
IEEE Robotics Autom. Lett.
Ganghua Lai, Chuanbeibei Shi, Kaidi Wang, Yushu Yu, Yiqun Dong, Antonio Franchi
2024 J jnl
CoRR
Jie Wang, Yichen Wang, Zhilin Zhang, Jianhao Zeng, Kaidi Wang, Zhiyang Chen
2024 A* conf
ICDM
Yanan Xiao, Xianglin Li, Lu Jiang, Pengfei Wang, Kaidi Wang, Na Luo
2023 J jnl
Intell. Autom. Soft Comput.
Bowen Zhang, Yanbo Shi, Jianming Zhao, Tianyu Wang, Kaidi Wang
2023 J jnl
Signal Image Video Process.
Chunxia Liu, Yuanlin Zheng, Kaiyang Liao, Bing Chen, Kaidi Wang, Chongjun Zhong, Bo Xie, Yalin Miao
2022 conf
ICCSIP
Jianrui Du, Yingjun Fan, Kaidi Wang, Yuting Feng, Yushu Yu
2022 J jnl
Comput. Geosci.
Theodore C. Lim, Kaidi Wang
2022 conf
ICAIS (3)
Hongtao Chen, Shuo Guo, Yanbo Shi, Weixuan Wei, Kaidi Wang
2022 J jnl
Remote. Sens.
Shengli Wang, Yulong Ge, Xiaolin Meng, Pengli Shen, Kaidi Wang, Fuyang Ke
2021 J jnl
IEEE Access
Xinjian Wei, Guangxu Li, Kaidi Wang
2021 J jnl
Int. J. Syst. Sci.
Yushu Yu, Kaidi Wang, Rong Guo, Vincenzo Lippiello, Xiaojian Yi
2021 conf
HCI (30)
Kaidi Wang, Lei Liu
2021 conf
SICE
Bingjun Li, Ryo Ishizuka, Kaidi Wang, Shigeyuki Tateno
2021 conf
ECC
Yushu Yu, Rong Guo, Kaidi Wang, Vincenzo Lippiello
2020 J jnl
Sensors
Xuan Wang, Xiuqin Su, Guizhong Liu, Junfeng Han, Kaidi Wang, Wenhua Zhu
2020 conf
ICCAI
Xinjian Wei, Kaidi Wang, Guangxu Li, Hyoungseop Kim
2020 C conf
MABS
Kaidi Wang, Wenwen Zhang, Henning S. Mortveit, Samarth Swarup
2020 J jnl
CoRR
Kaidi Wang, Wenwen Zhang
2020 J jnl
IEEE Access
Shaobo Wu, Xiuqin Su, Kaidi Wang
2019 J jnl
IEEE Access
Kaidi Wang, Shaoyi Li, Saisai Niu, Kai Zhang
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"