Weifan Liu

18 papers Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Weifan Liu
2025 J jnl
CoRR
Mengwen Ye, Yingzi Huangfu, Shujian Gao, Wei Ren, Weifan Liu, Zekuan Yu
2025 J jnl
Expert Syst. Appl.
Mengxiang Hu, Junchi Li, Yongquan Dong, Zichen Zhang, Weifan Liu, Peilin Zhang, Yuchao Ping, Le Jiang, Zekuan Yu
2024 J jnl
J. Imaging Inform. Medicine
Xiang Li, Xuan Ma, Yibai Zhao, Jingjing Hu, Jie Liu, Zhicheng Yang, Fangkai Han, Jie Zhang, Weifan Liu, Zhongwei Zhou
2024 J jnl
Multim. Tools Appl.
Jin Qin, Jie Liu, Weifan Liu, Huang Chen, Dingrong Zhong
2024 J jnl
IEEE J. Biomed. Health Informatics
Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin
2024 J jnl
Comput. Biol. Medicine
Xiao Liu, Peng Du, Zhiguang Dai, Rumeng Yi, Weifan Liu, Hao Wu, Daoying Geng, Jie Liu
2024 J jnl
Biomed. Signal Process. Control.
Yixin Jing, Jie Liu, Weifan Liu, Zhicheng Yang, Zhongwei Zhou, Zekuan Yu
2023 J jnl
Cogn. Comput.
Zekuan Yu, Meijia Li, Jiacheng Yang, Zilong Chen, Huixian Zhang, Weifan Liu, Fangkai Han, Jie Liu
2023 J jnl
J. Comput. Phys.
Weifan Liu, Minghao W. Rostami
2023 J jnl
Comput. Biol. Medicine
Xiao Liu, Hongyi Chen, Chong Yao, Rui Xiang, Kun Zhou, Peng Du, Weifan Liu, Jie Liu, Zekuan Yu
2023 J jnl
Comput. Medical Imaging Graph.
Xiao Liu, Chong Yao, Hongyi Chen, Rui Xiang, Hao Wu, Peng Du, Zekuan Yu, Weifan Liu, Jie Liu, Daoying Geng
2023 conf
BIC
Siya Lu, Dahai Ding, Ziqi Wang, Weiqi Kuang, Weifan Liu, Xiaoyu Wei, Ran Hu
2023 J jnl
Comput. Biol. Medicine
Mengting Liu, Xiaojie Li, Jie Liu, Weifan Liu, Zekuan Yu
2023 conf
BDIOT
Min Chen, Weifan Liu, Yujie Zhao, Amanda Gozho
2022 J jnl
IEEE J. Biomed. Health Informatics
Huaqi Zhang, Jie Liu, Pengyu Wang, Zekuan Yu, Weifan Liu, Huang Chen
2022 J jnl
IEEE Signal Process. Lett.
Junding Sun, Chong Yao, Jie Liu, Weifan Liu, Zekuan Yu
2022 J jnl
J. Comput. Phys.
Weifan Liu, Minghao W. Rostami
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"