Wei Tong

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Ind. Informatics
Wei Tong, Yiran Xu, Xuefeng Men, Haoran Duan, Qin Yang, Shaojun Cai, Changyu Li, Ping Li, Guangyu Zhu, Edmond Qi Wu, LiMin Zhu
2025 J jnl
IEEE Trans. Cogn. Dev. Syst.
Ruijie He, Wei Tong, Miaomiao Zhang, Guangyu Zhu, Edmond Qi Wu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Wei Tong, Xiaorong Guan, Miaomiao Zhang, Ping Li, Jin Ma, Qi Wu, LiMin Zhu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Wei Tong, Ai Gu, Xinying Wu, Xiangyang Deng, Yandong Cai, Ya Duan, Yuhong Hou
2024 J jnl
Neurocomputing
Ruijie He, Yuwen Jie, Wei Tong, Miaomiao Zhang, Guangyu Zhu, Edmond Qi Wu
2024 J jnl
IEEE Trans. Intell. Veh.
Shuai Wu, Wei Tong, Ya Duan, Weidong Yang, Guangyu Zhu, Edmond Qi Wu
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Edmond Qi Wu, Yubing Gao, Wei Tong, Yuhong Hou, Rob Law, Guangyu Zhu
2024 J jnl
IEEE Trans. Ind. Informatics
Wei Tong, Miaomiao Zhang, Guangyu Zhu, Xin Xu, Edmond Qi Wu
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Miaomiao Zhang, Wei Tong, Guangyu Zhu, Xin Xu, Edmond Qi Wu
2023 J jnl
IEEE Trans. Ind. Informatics
Dongfang Li, Yilong Zhang, Wei Tong, Ping Li, Rob Law, Xin Xu, LiMin Zhu, Edmond Qi Wu
2023 J jnl
IEEE Trans. Intell. Veh.
Yubing Gao, Wei Tong, Edmond Qi Wu, Wei Chen, Guangyu Zhu, Fei-Yue Wang
2023 J jnl
IEEE Trans Autom. Sci. Eng.
Xiaorong Guan, Wei Tong, Shan Jiang, Poly Z. H. Sun, Edmond Qi Wu, Guimin Chen
2023 J jnl
IEEE Trans. Ind. Informatics
Miaomiao Zhang, Wei Tong, Ping Li, Yuhong Hou, Xin Xu, LiMin Zhu, Edmond Qi Wu
2023 conf
ICARM
Wei Tong, Yubing Gao, Edmond Qi Wu, Li-Min Zhu
2023 J jnl
IEEE Trans. Veh. Technol.
Jiuchao Qian, Minting Pan, Wei Tong, Rob Law, Edmond Qi Wu
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Wei Tong, Xiaorong Guan, Jian Kang, Zhao-Hui Sun, Rob Law, Pedram Ghamisi, Edmond Qi Wu
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"