Wanying Ding

23 papers A* 5A 1Misc 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Wanying Ding, Savinay Narendra, Xiran Shi, Adwait Ratnaparkhi, Chengrui Yang, Nikoo Sabzevar, Ziyan Yin
2025 J jnl
CoRR
Michael Kishelev, Pranab Bhadani, Wanying Ding, Vinay K. Chaudhri
2024 J jnl
CoRR
Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi
2024 A* conf
SIGIR
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri
2024 J jnl
CoRR
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri
2022 A* conf
IJCAI
Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu
2021 A* conf
AAAI
Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi
2021 conf
IEEE BigData
Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu
2020 J jnl
CoRR
Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu
2020 A* conf
ACM Multimedia
Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
2020 J jnl
CoRR
Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
2019 conf
CVPR Workshops
Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
2019 J jnl
CoRR
Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
2018 conf
IEEE BigData
Wanying Ding, Ran Xu, Ying Ding, Yue Zhang, Chuanjiang Luo, Zhendong Yu
2017 A* conf
SIGIR
Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu
2017 J jnl
Inf. Retr. J.
Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu
2016 conf
IEEE BigData
Wanying Ding, Yue Zhang, Chaomei Chen, Xiaohua Hu
2015 conf
PAKDD Workshops
Wanying Ding, Yue Shang, Dae Hoon Park, Lifan Guo, Xiaohua Hu
2015 Misc conf
ICNC
Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo
2015 A conf
CIKM
Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He
2014 J jnl
J. Assoc. Inf. Sci. Technol.
Wanying Ding, Chaomei Chen
2014 J jnl
J. Multim. Inf. Syst.
Wanying Ding, Junhuan Zhu, Lifan Guo, Xiaohua Hu, Jiebo Luo, Haohong Wang
2013 conf
Web Intelligence
Wanying Ding, Xiaoli Song, Lifan Guo, Zunyan Xiong, Xiaohua Hu
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"