Chang Jiang

25 papers A* 4B 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Big Data Cogn. Comput.
Hai Yang, Hainan Chen, Chang Jiang, Juntao He, Pengyang Li
2026 A* conf
CHI
Shuhao Zhang, Jiahe Dong, Haoran Wang, Chang Jiang, Quan Li
2026 J jnl
CoRR
Shuhao Zhang, Jiahe Dong, Haoran Wang, Chang Jiang, Quan Li
2025 J jnl
Signal Image Video Process.
Chang Jiang, Haonan Wu, Jiatong Zhu, Huiming Wu, Dongtao Xu, Zhendong Song
2025 J jnl
Int. J. Mob. Comput. Multim. Commun.
Binjie Ying, Yan Song, Liwei Ren, Chang Jiang, Shuhan Shi, Jinchao Fan, Yiming Chen, Ziyi Zhou
2024 J jnl
PLoS Comput. Biol.
Xiang Liu, Nancy Gillis, Chang Jiang, Anthony McCofie, Timothy I. Shaw, Aik Choon Tan, Bo Zhao, Lixin Wan, Derek R. Duckett, Mingxiang Teng
2023 conf
ICDTE
Yan Jin, Yaojie Liu, Yan Jia, Chang Jiang
2023 J jnl
CoRR
Tingting Hou, Chang Jiang, Qing Lu
2023 J jnl
CoRR
Tingting Hou, Chang Jiang, Qing Lu
2023 conf
Agro-Geoinformatics
Xiaoqing Lu, Chang Jiang, Zixuan Lu, Yumeng Huang, Chaolong Tian, Rui Zhang
2023 A* conf
ICCV
Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang
2023 J jnl
CoRR
Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang
2023 A* conf
CVPR
Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang, Gang Xu
2023 J jnl
CoRR
Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang, Gang Xu
2023 conf
Agro-Geoinformatics
Xiaoqing Lu, Chang Jiang, Zixuan Lu, Yumeng Huang, Chaolong Tian
2023 A* conf
IJCAI
Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu
2023 J jnl
CoRR
Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu
2022 conf
Geoinformatics
Siqin Ban, Benyi Wei, Wenhai Xie, Ying Xu, Chang Jiang
2022 conf
Geoinformatics
Ying Xu, Chang Jiang, Xianlei Li, Enze Ji, Siqin Ban
2020 J jnl
J. Inf. Process. Syst.
Qinghua Liu, Yuanxin He, Chang Jiang
2019 conf
CSPS
Peng Qin, Jianming Li, Xiaohong Xue, Hongmei Zhang, Chang Jiang, Yunlong Wang
2016 B conf
PRICAI
Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang
2012 conf
APCCAS
Juin J. Liou, Chang Jiang, Feng Chia
2011 conf
ASICON
Juin J. Liou, Chang Jiang, Cao Guang-Biao, Chang Gung, Feng Chia
2010 conf
AMC
Bin Yao, Chang Jiang
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"