Xiaogang Cheng

22 papers Misc 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Xiaogang Cheng, Ren Guo, Zuxi Chen
2025 J jnl
CoRR
Xiaogang Cheng, Ren Guo
2024 J jnl
CoRR
Xiaogang Cheng, Ren Guo
2024 J jnl
CoRR
Xiaogang Cheng, Ren Guo
2023 conf
ICIG (2)
Xintao Hu, Xiaogang Cheng, Zhaobin Wang, Jie Ni, Bo Zhang, Bo Gao, Yan Zhang, Xin Geng, Limin Song
2023 conf
ICIG (4)
Shuchang Chu, Xiaogang Cheng, Yufeng Zhou, Xintao Hu, Caoxin Xu, Xiaolong Liu, Qing Wang, Bing Yang
2023 J jnl
J. Signal Process. Syst.
Xiaogang Cheng, Fei Hu, Limin Song, Jiaxiang Zhu, Zheng Ming, Chenxin Wang, Li Yang, Yaduan Ruan
2023 J jnl
CoRR
Xiaogang Cheng, Ren Guo
2023 J jnl
Sensors
Bin Yang, Shuang Yang, Xin Zhu, Min Qi, He Li, Zhihan Lv, Xiaogang Cheng, Faming Wang
2023 J jnl
CoRR
Xiaogang Cheng, Ren Guo
2023 Misc conf
ICASSP
Jie Qin, Peng Zheng, Yichao Yan, Rong Quan, Xiaogang Cheng, Bingbing Ni
2022 J jnl
Quantum Inf. Process.
Ren Guo, Xiaogang Cheng
2022 J jnl
CoRR
Xiaogang Cheng, Ren Guo, Changli Zhou
2021 J jnl
CoRR
Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao
2018 J jnl
Sensors
Xiaogang Cheng, Bin Yang, Guoqing Liu, Thomas Olofsson, Haibo Li
2018 J jnl
CoRR
Xiaogang Cheng, Guoqing Liu, Anders Hedman, Kun Wang, Haibo Li
2018 J jnl
CoRR
Bin Yang, Xiaogang Cheng, Thomas Olofsson, Haibo Li, Alan K. Meier
2018 J jnl
CoRR
Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson, Haibo Li
2018 J jnl
CoRR
Xiaogang Cheng, Bin Yang, Anders Hedman, Thomas Olofsson, Haibo Li, Luc Van Gool
2017 conf
CISP-BMEI
Jingjie Yan, Bojie Yan, Guanming Lu, Qinyu Xu, Haibo Li, Xiaogang Cheng, Xia Cai
2017 J jnl
Quantum Inf. Process.
Xiaogang Cheng, Ren Guo, Yonghong Chen
2014 J jnl
J. Comput.
Xiaogang Cheng, Jian Wang, Ji-Xiang Du
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"