Wei Xiang

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Geosci. Remote. Sens.
Longxiang Wang, Wei Xiang, Hongjun Song, Heng Zhang, Mingjie Zheng, Jili Wang, Fengli Xue, Zhanyang Ai, Yunkai Deng
2025 J jnl
IEEE Trans. Geosci. Remote. Sens.
Longxiang Wang, Wei Xiang, Hongjun Song, Heng Zhang, Yunkai Deng, Jili Wang, Qilin Ji, Lei Zhao
2024 J jnl
IEEE Trans. Geosci. Remote. Sens.
Renzhe Wu, Guoxiang Liu, Jichao Lv, Xin Bao, Ruikai Hong, Zhihan Yang, Songbo Wu, Wei Xiang, Rui Zhang
2024 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Wei Xiang, Yunkai Deng, Rui Zhang, Dacheng Liu, Xiaoxue Jia, Mahdieh Shirmohammadi, Mehdi Gheisari
2024 J jnl
Remote. Sens.
Yangao Luo, Yunkai Deng, Wei Xiang, Heng Zhang, Congrui Yang, Longxiang Wang
2024 J jnl
Remote. Sens.
Lu Li, Jili Wang, Heng Zhang, Yi Zhang, Wei Xiang, Yuanzhao Fu
2023 J jnl
IEEE Trans. Geosci. Remote. Sens.
Yulun Wu, Jili Wang, Heng Zhang, Fengjun Zhao, Wei Xiang, Hongxiang Li, Huaishuai Wang, Lianshuo An
2023 J jnl
IEEE Trans. Geosci. Remote. Sens.
Wenfei Mao, Xiaowen Wang, Guoxiang Liu, Saied Pirasteh, Rui Zhang, Hui Lin, Yakun Xie, Wei Xiang, Zhang-Feng Ma, Peifeng Ma
2022 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Jialun Cai, Guoxiang Liu, Hongguo Jia, Bo Zhang, Renzhe Wu, Yin Fu, Wei Xiang, Wenfei Mao, Xiaowen Wang, Rui Zhang
2022 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kun Chen, Guoxiang Liu, Wei Xiang, Tao Sun, Kun Qian, Jiaxin Cai, Saied Pirasteh, Xiao Chen
2022 J jnl
Remote. Sens.
Deying Ma, Mahdi Motagh, Guoxiang Liu, Rui Zhang, Xiaowen Wang, Bo Zhang, Wei Xiang, Bing Yu
2022 J jnl
Remote. Sens.
Wenfei Mao, Guoxiang Liu, Xiaowen Wang, Yakun Xie, Xiaoxing He, Bo Zhang, Wei Xiang, Shuaiying Wu, Rui Zhang, Yin Fu, Saied Pirasteh
2021 J jnl
Remote. Sens.
Jichao Lv, Rui Zhang, Jinsheng Tu, Mingjie Liao, Jiatai Pang, Bin Yu, Kui Li, Wei Xiang, Yin Fu, Guoxiang Liu
2021 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenfei Mao, Guoxiang Liu, Xiaowen Wang, Rui Zhang, Wei Xiang, Shuaiying Wu, Bo Zhang, Jiawen Bao, Jialun Cai, Saied Pirasteh
2021 J jnl
Remote. Sens.
Ali Mehrabi, Saied Pirasteh, Ahmad Rashidi, Mohsen Pourkhosravani, Reza Derakhshani, Guoxiang Liu, Wenfei Mao, Wei Xiang
2021 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wei Xiang, Guoxiang Liu, Rui Zhang, Saied Pirasteh, Xiaowen Wang, Wenfei Mao, Song Li, Lingxiao Xie
2021 J jnl
Sensors
Xiao Chen, Zhuang Chen, Guoxiang Liu, Kun Chen, Lu Wang, Wei Xiang, Rui Zhang
2021 J jnl
ISPRS Int. J. Geo Inf.
Wei Xiang, Rui Zhang, Guoxiang Liu, Xiaowen Wang, Wenfei Mao, Bo Zhang, Yin Fu, Tingting Wu
2021 J jnl
Remote. Sens.
Mingjie Liao, Rui Zhang, Jichao Lv, Bin Yu, Jiatai Pang, Ran Li, Wei Xiang, Wei Tao
2020 J jnl
Remote. Sens.
Renzhe Wu, Guoxiang Liu, Rui Zhang, Xiaowen Wang, Yong Li, Bo Zhang, Jialun Cai, Wei Xiang
redb/extractors/macho_extractors/macho_similarity_hashes.py
← Index redb/extractors/macho_extractors/macho_similarity_hashes.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


class MachOSimilarityHashExtractor(MachOExtractor):
    """Extract Mach-O similarity hashes using machofile API.

    Similarity hashes are MD5 fingerprints of sorted, deduplicated binary components:
    - dylib_hash: MD5 of dynamic library names
    - import_hash: MD5 of imported function names
    - export_hash: MD5 of exported symbol names
    - entitlement_hash: MD5 of entitlement names and array values
    - symhash: MD5 of external undefined symbols

    For FAT binaries:
    - Inserts one row per architecture slice with per-slice hashes
    - Inserts one row for the FAT container with combined hashes

    For single-arch binaries:
    - Inserts one row with that architecture's hashes

    Note: parent_sha256 and architecture relationships are tracked in redb_basic_properties,
    not duplicated here. Use JOIN with redb_basic_properties when needed.
    """

    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_hashes"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_HASHES.value

    def _extract_similarity_hashes(self, arch_name=None):
        """Extract similarity hashes for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            similarity_hashes = self.macho.get_similarity_hashes(arch=arch_name)
            return similarity_hashes if similarity_hashes else None
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            if not self.macho:
                return None

            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            if len(architectures) > 1:
                # FAT binary - return combined hashes + per-arch hashes
                results = []

                # First add combined hashes for the FAT container
                all_hashes = self.macho.get_similarity_hashes()
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    combined_hashes['arch_identifier'] = 'fat'
                    results.append(combined_hashes)

                # Then add per-arch hashes
                for arch_name in architectures:
                    hashes = self._extract_similarity_hashes(arch_name)
                    if hashes:
                        hashes['arch_identifier'] = arch_name
                        results.append(hashes)
                return results
            else:
                # Single architecture - return single result
                return self._extract_similarity_hashes(architectures[0])
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes: {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

            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)

            # For FAT binaries, first insert a row for the container with combined hashes
            if is_fat:
                all_hashes = self.macho.get_similarity_hashes()  # Without arch returns all including 'combined'
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    data.append([
                        self.sha256,                                    # sha256 (FAT container)
                        combined_hashes.get('dylib_hash'),              # dylib_hash
                        combined_hashes.get('import_hash'),             # import_hash
                        combined_hashes.get('export_hash'),             # export_hash
                        combined_hashes.get('entitlement_hash'),        # entitlement_hash
                        combined_hashes.get('symhash'),                 # symhash
                        current_time,                                   # analysis_date
                    ])

            # Insert rows for each architecture slice
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific sha256 for {arch_name}: {e}")
                    arch_sha256 = self.sha256

                # Get similarity hashes for this architecture
                similarity_hashes = self._extract_similarity_hashes(arch_name)
                if not similarity_hashes:
                    continue

                data.append([
                    arch_sha256,                                    # sha256 (arch-specific)
                    similarity_hashes.get('dylib_hash'),            # dylib_hash
                    similarity_hashes.get('import_hash'),           # import_hash
                    similarity_hashes.get('export_hash'),           # export_hash
                    similarity_hashes.get('entitlement_hash'),      # entitlement_hash
                    similarity_hashes.get('symhash'),               # symhash
                    current_time,                                   # analysis_date
                ])

            if not data:
                return None

            column_names = [
                'sha256',
                'macho_dylib_hash', 'macho_import_hash', 'macho_export_hash',
                'macho_entitlement_hash', 'macho_symhash',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_hashes"