Xiang Liu

21 papers A* 6A 1Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Mob. Comput.
Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang, Yifan Qin, Yingchao Zhao, Junzhou Luo
2025 A* conf
INFOCOM
Xiang Liu, Hau Chan, Minming Li, Xianlong Zeng, Chenchen Fu, Weiwei Wu
2025 J jnl
CoRR
Xiang Liu, Hau Chan, Minming Li, Xianlong Zeng, Chenchen Fu, Weiwei Wu
2025 J jnl
ACM Trans. Sens. Networks
Ziyao Huang, Weiwei Wu, Vincent Chau, Kui Wu, Xiang Liu, Jianping Wang
2025 A* conf
AAAI
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh
2024 J jnl
IEEE Trans. Mob. Comput.
Ziyao Huang, Weiwei Wu, Chenchen Fu, Vincent Chau, Xiang Liu, Jianping Wang, Junzhou Luo
2024 J jnl
IEEE J. Sel. Areas Commun.
Xiang Liu, Yifan Qin, Weiwei Wu, Chenchen Fu, Yan Lyu, Fang Dong, Junzhou Luo
2024 A* conf
IJCAI
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu
2024 J jnl
ACM Trans. Sens. Networks
Ziyao Huang, Weiwei Wu, Chenchen Fu, Xiang Liu, Feng Shan, Jianping Wang, Xueyong Xu
2024 J jnl
Comput. Networks
Jiahui Jin, Zhendong Guo, Wenchao Bai, Biwei Wu, Xiang Liu, Weiwei Wu
2023 J jnl
IEEE Trans. Mob. Comput.
Xiang Liu, Chenchen Fu, Weiwei Wu, Minming Li, Wanyuan Wang, Vincent Chau, Junzhou Luo
2023 J jnl
Theor. Comput. Sci.
Xiang Liu, Weiwei Wu, Wanyuan Wang, Yuhang Xu, Xiumin Wang, Helei Cui
2023 J jnl
Artif. Intell.
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Yingchao Zhao
2022 Misc conf
FAW
Xiang Liu, Weiwei Wu, Wanyuan Wang, Yuhang Xu, Xiumin Wang, Helei Cui
2022 conf
NCAA (2)
Bo Ling, Xiang Liu, Jin Jiang, Weiwei Wu, Wanyuan Wang, Yan Lyu, Xueyong Xu
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Yuhang Xu, Wanyuan Wang, Guangwei Xiong, Xiang Liu, Weiwei Wu, Kai Liu
2021 A* conf
AAAI
Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang
2021 A* conf
IJCAI
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu
2021 conf
WASA (2)
Biwei Wu, Xiaoxuan Zhu, Xiang Liu, Jiahui Jin, Runqun Xiong, Weiwei Wu
2020 A conf
AAMAS
Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang
2018 A* conf
IJCAI
Weiwei Wu, Xiang Liu, Minming Li
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"