Cai Chang

26 papers Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
BMC Medical Imaging
Yuyang Tong, Yi Wei, Peixuan Sun, Cai Chang
2024 J jnl
BMC Medical Imaging
Na Li, Jia-Wei Li, Yu Qian, Ya-Jing Liu, Xiu-Zhu Qi, Ya-Ling Chen, Yi Gao, Cai Chang
2024 J jnl
Medical Image Anal.
Lihong Huang, Jin Zhou, Jing Jiao, Shichong Zhou, Cai Chang, Yuanyuan Wang, Yi Guo
2024 J jnl
IEEE Trans. Medical Imaging
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
2023 J jnl
Expert Syst. Appl.
Qinghua Huang, Dan Wang, Zhenkun Lu, Shichong Zhou, Jiawei Li, Longzhong Liu, Cai Chang
2023 J jnl
Pattern Recognit. Lett.
Zhizhou Li, Shichong Zhou, Cai Chang, Yuanyuan Wang, Yi Guo
2023 J jnl
Comput. Biol. Medicine
Jianing Xi, Donghui Sun, Cai Chang, Shichong Zhou, Qinghua Huang
2023 J jnl
Sensors
Zhaoting Shi, Yebo Ma, Xiaowen Ma, Anqi Jin, Jin Zhou, Na Li, Danli Sheng, Cai Chang, Jiangang Chen, Jiawei Li
2023 J jnl
Medical Image Anal.
Xiaokang Li, Menghua Xia, Jing Jiao, Shichong Zhou, Cai Chang, Yuanyuan Wang, Yi Guo
2023 J jnl
CoRR
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
2022 J jnl
IEEE J. Biomed. Health Informatics
Mengyun Qiao, Chencheng Liu, Zeju Li, Jin Zhou, Qin Xiao, Shichong Zhou, Cai Chang, Yajia Gu, Yi Guo, Yuanyuan Wang
2022 J jnl
IEEE J. Biomed. Health Informatics
Weichang Ding, Jun Wang, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi
2022 J jnl
BMC Medical Imaging
Yuyang Tong, Jingwen Zhang, Yi Wei, Jinhua Yu, Weiwei Zhan, Hansheng Xia, Shichong Zhou, Yuanyuan Wang, Cai Chang
2021 J jnl
BMC Medical Imaging
Jin Zhou, Anqi Jin, Shichong Zhou, Jiawei Li, Wenxiang Zhi, Yunxia Huang, Qian Zhu, Lang Qian, Jiong Wu, Cai Chang
2021 J jnl
Expert Syst. Appl.
Menyun Qiao, Zhou Fang, Yi Guo, Shichong Zhou, Cai Chang, Yuanyuan Wang
2021 J jnl
IEEE Trans. Instrum. Meas.
Qinghua Huang, Zhaoji Miao, Shichong Zhou, Cai Chang, Xuelong Li
2021 J jnl
Pattern Recognit.
Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi
2021 J jnl
Cogn. Comput.
Ruoyun Liu, Shichong Zhou, Yi Guo, Yuanyuan Wang, Cai Chang
2020 conf
ISBI
Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi
2020 conf
MICCAI (6)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2020 J jnl
CoRR
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2020 J jnl
J. Digit. Imaging
Ruoyun Liu, Shichong Zhou, Yi Guo, Yuanyuan Wang, Cai Chang
2019 conf
EMBC
Mengyun Qiao, Yi Guo, Shichong Zhou, Cai Chang, Yuanyuan Wang
2019 J jnl
J. Medical Imaging Health Informatics
Zhou Fang, Mengyun Qiao, Yi Guo, Yuanyuan Wang, Jiawei Li, Shichong Zhou, Cai Chang
2019 conf
EMBC
Xiaoyan Fei, Weijun Zhou, Lu Shen, Cai Chang, Shichong Zhou, Jun Shi
2014 J jnl
Inf. Fusion
Tianjie Li, Yuanyuan Wang, Cai Chang, Na Hu, Yongping Zheng
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"