Weiming Fu

45 papers A 2C 3Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Ambreen Basheer, Man Li, Weiming Fu, Jiahu Qin
2026 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Xiaozheng Jin, Jing Chi, Jiahu Qin, Wei Xing Zheng, Xiaoming Wu, Weiming Fu
2025 J jnl
IEEE Trans. Ind. Informatics
Weimin Zhai, Qichao Ma, Jiahu Qin, Weiming Fu, Yu Kang
2025 J jnl
IEEE Trans. Consumer Electron.
Dunfeng Zhang, Ruitian Han, Weiming Fu, Lili Ran, Jiahu Qin
2025 J jnl
IEEE Trans. Instrum. Meas.
Fengshuo Guo, Weiming Fu, Jiahu Qin, Qichao Ma, Yu Kang
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Ruitian Han, Weiming Fu, Jiahu Qin
2025 J jnl
IEEE Trans. Ind. Informatics
Dunfeng Zhang, Weiming Fu, Jiahu Qin, Ruitian Han, Yanni Wan
2024 J jnl
J. Frankl. Inst.
Qingchen Liu, Yang Liu, Qichao Ma, Weiming Fu, Jiahu Qin
2024 J jnl
IEEE Trans. Smart Grid
Lili Ran, Jiahu Qin, Yanni Wan, Weiming Fu, Wenwu Yu, Feng Xiao
2023 J jnl
IEEE Trans. Intell. Transp. Syst.
Lili Ran, Yanni Wan, Jiahu Qin, Weiming Fu, Dunfeng Zhang, Yu Kang
2023 J jnl
IEEE Trans. Cybern.
Baijia Ye, Jiahu Qin, Weiming Fu, Yingda Zhu, Yaonan Wang, Yu Kang
2023 J jnl
J. Frankl. Inst.
Cong Zhang, Jie Wang, Qingchen Liu, Weiming Fu, Wei Xing Zheng
2023 J jnl
IEEE Trans. Smart Grid
Yanni Wan, Jiahu Qin, Yang Shi, Weiming Fu, Dunfeng Zhang
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Zilin Zhang, Yanni Wan, Jiahu Qin, Weiming Fu, Yu Kang
2022 J jnl
J. Frankl. Inst.
Yanni Wan, Jiahu Qin, Qichao Ma, Weiming Fu, Shi Wang
2022 J jnl
IEEE Trans. Ind. Informatics
Weiming Fu, Yanni Wan, Jiahu Qin, Yu Kang, Li Li
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Ku Du, Qichao Ma, Yu Kang, Weiming Fu
2022 J jnl
J. Syst. Sci. Complex.
Weiming Fu, Jiahu Qin, Qing Ling, Yu Kang, Baijia Ye
2021 J jnl
IEEE Trans. Ind. Electron.
Weiming Fu, Jiahu Qin, Wei Xing Zheng, Yuhang Chen, Yu Kang
2020 J jnl
J. Frankl. Inst.
Guoyong Chen, Weiming Fu, Yu Kang, Jiahu Qin, Wei Xing Zheng
2020 J jnl
IEEE Trans. Signal Process.
Jiahu Qin, Yingda Zhu, Weiming Fu
2020 J jnl
Autom.
Weiming Fu, Jiahu Qin, Junfeng Wu, Wei Xing Zheng, Yu Kang
2020 J jnl
IEEE Trans. Ind. Informatics
Weiming Fu, Jiahu Qin, Yang Shi, Wei Xing Zheng, Yu Kang
2019 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Jiahu Qin, Weiming Fu, Yang Shi, Huijun Gao, Yu Kang
2019 conf
ICARM
Chongjian Zhou, Man Li, Weiming Fu, Yu Kang, Jiahu Qin
2018 J jnl
IEEE Access
Jiahu Qin, Yaming Chen, Weiming Fu, Yu Kang, Matjaz Perc
2018 J jnl
Neurocomputing
Jie Sheng, Qichao Ma, Weiming Fu, Jiahu Qin, Yu Kang
2017 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Jiahu Qin, Wei Xing Zheng, Huijun Gao, Qichao Ma, Weiming Fu
2017 J jnl
IEEE Trans. Cybern.
Jiahu Qin, Weiming Fu, Huijun Gao, Wei Xing Zheng
2017 J jnl
IEEE Trans. Ind. Electron.
Yu Kang, Jiahu Qin, Qichao Ma, Weiguo Song, Weiming Fu
2017 J jnl
IEEE Trans. Cybern.
Jiahu Qin, Weiming Fu, Wei Xing Zheng, Huijun Gao
2016 conf
ICIT
Qiuhong Liu, Weiming Fu, Jiahu Qin, Wei Xing Zheng, Huijun Gao
2016 conf
CDC
Weiming Fu, Jiahu Qin, Wei Xing Zheng, Huijun Gao, Guodong Shi
2011 A conf
ICWS
Zhihui Lu, Jie Wu, Weiming Fu
2010 A conf
ICWS
ZhiHui Lv, Jie Wu, Weiming Fu
2010 conf
IEEE SCC
ZhiHui Lv, Jie Wu, Weiming Fu
2009 conf
CIS (1)
Feng Gao, Weiming Fu, YiPing Zhong, Danfeng Zhao
2009 conf
IEEE SCC
ZhiHui Lv, Jie Wu, Chuan Xiao, Weiming Fu, YiPing Zhong
2008 conf
GCC
Zhihui Lu, Weiming Fu, Chuan Xiao, Shiyong Zhang, YiPing Zhong
2007 conf
GCC
ZhiHui Lv, Shiyong Zhang, Jie Wu, Weiming Fu, YiPing Zhong
2007 C conf
CIT
ZhiHui Lv, Shiyong Zhang, Jie Wu, Weiming Fu, YiPing Zhong
2007 conf
IEEE SCW
ZhiHui Lv, Jie Wu, YiPing Zhong, Weiming Fu, Shiyong Zhang
2006 conf
GCC Workshops
ZhiHui Lv, Jie Wu, Weiming Fu, YiPing Zhong
2005 C conf
CIT
ZhiHui Lv, YiPing Zhong, Weiming Fu, Shiyong Zhang
2005 C conf
CIT
Yan Yao, Weiming Fu, Shiyong Zhang
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.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 MachOImport


class MachOImportExtractor(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_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports 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 imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {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

            # Flatten the data - one row per function import (like PE imports)
            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 imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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