Xianming Lang

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inf. Fusion
Yongqiang Zhu, Shuaiyong Li, Xianming Lang, Liang Liu
2026 J jnl
Comput. Chem. Eng.
Xianming Lang, Yibing Wang, Jiangtao Cao, Qiang Liu, Edith C. H. Ngai
2025 J jnl
IEEE Trans. Instrum. Meas.
Yongqiang Zhu, Shuaiyong Li, Xianming Lang, Liang Liu
2025 J jnl
Adv. Eng. Informatics
Yongqiang Zhu, Shuaiyong Li, Xianming Lang, Liang Liu
2024 J jnl
IEEE Trans. Instrum. Meas.
Xianming Lang, Ze Wang
2023 J jnl
IEEE Trans. Ind. Informatics
Fucheng Han, Xianming Lang
2023 J jnl
IEEE Trans. Instrum. Meas.
Fucheng Han, Xianming Lang, Mingyang Liu
2022 J jnl
IEEE Trans. Instrum. Meas.
Qiang Meng, Xianming Lang, Mingqi Lin, Zaihong Cai, Hao Zheng, Huadong Song, Wei Liu
2022 J jnl
IEEE Trans. Instrum. Meas.
Xianming Lang, Fucheng Han
2022 J jnl
IEEE Instrum. Meas. Mag.
Xianming Lang
2022 conf
ICCA
Zhaowei Yang, Jinna Li, Xianming Lang
2021 conf
MED
Xianming Lang, Zheng Hao, Huadong Song, Jinhai Liu, Xiaoting Guo, Meng Qiang, Haitao Yuan
2020 J jnl
IEEE Trans. Instrum. Meas.
Xianming Lang, Ping Li, Ying Guo, Jiangtao Cao, Siyu Lu
2020 conf
ICCA
Xianming Lang, Wenqiang Yuan, Lin Zhang, Jiangtao Cao, Siyu Lu, Qiumei Cong, Lin Luo, Ping Li
2018 J jnl
Wirel. Commun. Mob. Comput.
Xianming Lang, Zhiyong Hu, Ping Li, Yan Li, Jiangtao Cao, Hong Ren
2017 J jnl
IEEE Access
Xianming Lang, Ping Li, Zhiyong Hu, Hong Ren, Yan Li
2017 J jnl
Inf.
Xianming Lang, Ping Li, Yan Li, Hong Ren
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"