Kai Wang

22 papers C 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 C conf
INDIN
Haiyang Jiang, Tong Liu, Huaping Liu, Visakan Kadirkamanathan, Hang Wu, Kai Wang
2025 J jnl
IEEE Trans. Instrum. Meas.
Haiyang Jiang, Tong Liu, Huaping Liu, Kai Wang, Jiabao Song
2023 J jnl
IEEE Trans. Cybern.
Tong Liu, Zeyue Tian, Sheng Chen, Kai Wang, Chris J. Harris
2022 J jnl
IEEE Trans. Instrum. Meas.
Yang Yu, Qingyu Xiong, Zhisheng Ye, Xingchen Liu, Qiude Li, Kai Wang
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Jiangshuai Huang, Xiaojie Su, Kai Wang, Guoqi Li
2021 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Jiangshuai Huang, Xiaojie Su, Kai Wang
2021 J jnl
IEEE Trans. Fuzzy Syst.
Yaoyao Tan, Kai Wang, Xiaojie Su, Fangzheng Xue, Peng Shi
2021 J jnl
IEEE Syst. J.
Shuai Yang, Yao Wen, Bingna Qiao, Kai Wang, Xiaojie Su
2021 J jnl
IEEE Trans. Instrum. Meas.
Yang Yu, Qingyu Xiong, Mei Yang, Chao Wu, Qiwu Zhu, Kai Wang, Min Gao
2020 J jnl
J. Frankl. Inst.
Qiwu Zhu, Qingyu Xiong, Kai Wang, Wang Lu, Tong Liu
2020 J jnl
Neural Process. Lett.
Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2020 J jnl
Neural Comput. Appl.
Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2019 conf
IIAI-AAI
Yang Yu, Qingyu Xiong, Rui Xu, Min Gao, Chaoyin Li, Kai Wang
2019 conf
IIAI-AAI
Hualing Yi, Qingyu Xiong, Qinghong Zou, Rui Xu, Kai Wang, Min Gao
2019 J jnl
IEEE Access
Kai Wang, Xing Yu, Qingyu Xiong, Qiwu Zhu, Wang Lu, Ya Huang, Linyu Zhao
2019 conf
IIAI-AAI
Qinghong Zou, Qingyu Xiong, Hualing Yi, Qiude Li, Rui Xu, Kai Wang
2019 J jnl
Neural Process. Lett.
Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2018 J jnl
IEEE Access
Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2018 J jnl
IEEE Access
Kai Wang, Longkun Ma, Qingyu Xiong, Shan Liang, Guotan Sun, Xing Yu, Zheng Yao, Tong Liu
2017 conf
CCTA
Jiaqi Zhong, Shan Liang, Qingyu Xiong, Min Gao, Kai Wang
2016 J jnl
Sci. Program.
Kai Wang, Youjin Zhao, Qingyu Xiong, Min Fan, Guotan Sun, Longkun Ma, Tong Liu
2016 J jnl
Intell. Autom. Soft Comput.
Kai Wang, Youjin Zhao, Qingyu Xiong, Xiling Shen, Min Fan, Min Gao
redb/extractors/macho_extractors/macho_exports.py
← Index redb/extractors/macho_extractors/macho_exports.py python
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 MachOExport


class MachOExportExtractor(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_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_exports(self, arch_name=None):
        """Extract export information from the MachO binary for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get exported symbols using new API for specific architecture
            exported_symbols = self.macho.get_exported_symbols(arch=arch_name)

            # Extract all exported symbols (may be empty for some binaries)
            # Handle None or empty dict
            if not exported_symbols:
                exported_symbols = {}
            all_symbols = []
            for dylib_name, symbols in exported_symbols.items():
                # Process symbol names
                for symbol in symbols:
                    if isinstance(symbol, bytes):
                        symbol = symbol.decode('utf-8', errors='replace')
                    all_symbols.append(symbol)

            # Create export dataclass
            macho_export = MachOExport(
                macho_exports_total=len(all_symbols),
                macho_export_symbols=all_symbols  # Empty list is fine, but None is not allowed for Array type
            )

            return macho_export

        except Exception as e:
            self.log.error(f"Error extracting MachO exports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of exports for each architecture
                results = []
                for arch_name in architectures:
                    exports = self._extract_exports(arch_name)
                    if exports:
                        exports.arch_identifier = arch_name
                        results.append(exports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_exports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO exports: {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 exports for this architecture
                macho_export = self._extract_exports(arch_name)
                if not macho_export:
                    continue

                data.append([
                    arch_sha256,                          # sha256 (arch-specific)
                    macho_export.macho_exports_total,     # macho_exports_total
                    macho_export.macho_export_symbols,    # macho_export_symbols (keep as array!)
                    current_time,                         # analysis_date
                ])

            column_names = [
                'sha256',
                'macho_exports_total', 'macho_export_symbols',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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