Haiyong Wang

57 papers C 3Misc 2Journal 43Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
ISPRS Int. J. Geo Inf.
Haiyong Wang, Wei Huang
2025 J jnl
J. Sci. Comput.
Ruiyi Xie, Wenjie Liu, Haiyong Wang, Boying Wu
2025 J jnl
J. Real Time Image Process.
Haiyong Wang, Yi Zhou
2025 J jnl
CoRR
Haiyong Wang
2025 J jnl
J. Sci. Comput.
Ruiyi Xie, Wenjie Liu, Haiyong Wang, Boying Wu
2025 J jnl
CoRR
Haiyong Wang, Zhimin Zhang
2024 J jnl
Circuits Syst. Signal Process.
Wang Yuqi, Haiyong Wang
2024 J jnl
J. Comput. Appl. Math.
Mengxia Shen, Haiyong Wang
2024 J jnl
Knowl. Based Syst.
Qian Zhou, Yang Lian, Jiayang Wu, Mengyue Zhu, Haiyong Wang, Jinli Cao
2024 J jnl
CoRR
Haiyong Wang, Menghan Wu
2024 J jnl
Entropy
Haiyong Wang, Chentao Lu
2023 J jnl
SIAM J. Numer. Anal.
Haiyong Wang
2023 J jnl
CoRR
Haiyong Wang, Lun Zhang
2023 J jnl
IEICE Electron. Express
Liujun Guo, Wenjing Xu, Haiyong Wang
2023 J jnl
Math. Comput.
Menghan Wu, Haiyong Wang
2023 J jnl
J. Inf. Secur. Appl.
Jiayi Ni, Wei Chen, Jiacheng Tong, Haiyong Wang, Lifa Wu
2023 J jnl
CoRR
Haiyong Wang
2022 J jnl
IEICE Electron. Express
Xiongfei Ran, Ming Chen, Weiguang Wang, Li Zhou, Haiyong Wang, Jie Chen
2022 J jnl
CoRR
Mengxia Shen, Haiyong Wang
2022 J jnl
Sci. China Inf. Sci.
Haiyong Wang, Wei Mao, Shenglei Zhao, Yuanhao He, Jiabo Chen, Ming Du, Xuefeng Zheng, Chong Wang, Chunfu Zhang, Jincheng Zhang, Yue Hao
2021 J jnl
CoRR
Haiyong Wang
2021 J jnl
CoRR
Menghan Wu, Haiyong Wang
2021 J jnl
Numerische Mathematik
Haiyong Wang
2021 J jnl
CoRR
Haiyong Wang
2021 conf
ICCCS
Yunfeng Tang, Enxiao Liu, Chen Tao, Jianjun Yang, Jianpo Liu, Lei Zhang, Wenji Zhang, Haiyong Wang
2021 Misc conf
NSDI
Yixiao Gao, Qiang Li, Lingbo Tang, Yongqing Xi, Pengcheng Zhang, Wenwen Peng, Bo Li, Yaohui Wu, Shaozong Liu, Lei Yan, Fei Feng, Yan Zhuang, Fan Liu, Pan Liu, Xingkui Liu, Zhongjie Wu, Junping Wu, Zheng Cao, Chen Tian, Jinbo Wu, Jiaji Zhu, Haiyong Wang, Dennis Cai, Jiesheng Wu
2020 J jnl
Adv. Comput. Math.
Haiyong Wang, Lun Zhang
2020 J jnl
CoRR
Haiyong Wang
2020 J jnl
CoRR
Haiyong Wang
2019 J jnl
Clust. Comput.
Aiying Guo, Meihua Xu, Feng Ran, Haiyong Wang
2019 Misc conf
HotNets
Dingming Wu, Ang Chen, T. S. Eugene Ng, Guohui Wang, Haiyong Wang
2019 J jnl
J. Sci. Comput.
Haiyong Wang
2019 conf
CyberC
Haiyong Wang, Kaixuan Guo
2019 conf
ICBDS
Haiyong Wang, Weizheng Guan, Kaixin Zhang
2018 conf
ICCCS (2)
Haiyong Wang, Yao Peng
2018 J jnl
Appl. Math. Lett.
Haiyong Wang
2018 J jnl
J. Sci. Comput.
Haiyong Wang, Lun Zhang
2018 J jnl
J. Comput. Appl. Math.
Haiyong Wang
2016 J jnl
SIAM J. Numer. Anal.
Haiyong Wang
2015 J jnl
Int. J. Distributed Sens. Networks
Haiyong Wang, Geng Yang, Yiran Gu, Jian Xu, Zhixin Sun
2014 J jnl
Sci. China Inf. Sci.
Weiyang Liu, Jingjing Chen, Xiaodong Liu, Haiyong Wang, Nanjian Wu
2014 J jnl
Math. Comput.
Haiyong Wang, Daan Huybrechs, Stefan Vandewalle
2013 conf
CICC
Jingjing Chen, Weiyang Liu, Peng Feng, Haiyong Wang, Nanjian Wu
2013 J jnl
J. Circuits Syst. Comput.
Weiyang Liu, Jingjing Chen, Haiyong Wang, Nanjian Wu
2013 J jnl
Numerische Mathematik
Haiyong Wang, Lun Zhang, Daan Huybrechs
2013 conf
SIGMOD Conference
Jiaheng Lu, Chunbin Lin, Wei Wang, Chen Li, Haiyong Wang
2012 conf
WISM
Haiyong Wang, Geng Yang, Jian Xu, Zhengyu Chen, Zhen Yang
2012 C conf
CloudCom
Zhengyu Chen, Geng Yang, Lei Chen, Jian Xu, Haiyong Wang
2012 J jnl
Math. Comput.
Haiyong Wang, Shuhuang Xiang
2011 conf
SoCPaR
Hongmin Gao, Jinbo Liu, Haiyong Wang, Haoyu Lin
2010 J jnl
Numerische Mathematik
Shuhuang Xiang, Xiaojun Chen, Haiyong Wang
2010 J jnl
Math. Comput.
Shuhuang Xiang, Haiyong Wang
2010 J jnl
J. Comput. Appl. Math.
Haiyong Wang, Shuhuang Xiang
2009 J jnl
Appl. Math. Comput.
Haiyong Wang, Shuhuang Xiang
2007 C conf
ISCAS
Haiyong Wang, Guoliang Shou, Nanjian Wu
2006 C conf
ISCAS
Haiyong Wang, Guoliang Shou, Nanjian Wu
2002 conf
Protocols for High-Speed Networks
Jianping Wang, Stephen D. Patek, Haiyong Wang, Jörg Liebeherr
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"