Vincent Havyarimana

31 papers B 2Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Trans. Cybern.
Vincent Havyarimana, Zhu Xiao, Thabo Semong, Jing Bai, Hongyang Chen, Licheng Jiao
2023 J jnl
IEEE Trans. Cybern.
Zhu Xiao, Hui Fang, Hongbo Jiang, Jing Bai, Vincent Havyarimana, Hongyang Chen, Licheng Jiao
2022 J jnl
IEEE J. Sel. Areas Commun.
Xiaoyou Yu, Qi Yang, Zhu Xiao, Hongyang Chen, Vincent Havyarimana, Zhu Han
2022 J jnl
IEEE Internet Things J.
Liang Lyu, Fanzi Zeng, Zhu Xiao, Chengyuan Zhang, Hongbo Jiang, Vincent Havyarimana
2022 J jnl
IEEE Trans. Geosci. Remote. Sens.
Jing Bai, Junjie Ren, Yujia Yang, Zhu Xiao, Wentao Yu, Vincent Havyarimana, Licheng Jiao
2022 J jnl
IEEE Trans. Cybern.
Jing Bai, Wentao Yu, Zhu Xiao, Vincent Havyarimana, Amelia C. Regan, Hongbo Jiang, Licheng Jiao
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Zhu Xiao, Hui Fang, Hongbo Jiang, Jing Bai, Vincent Havyarimana, Hongyang Chen
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Jianhua Xiao, Zhu Xiao, Dong Wang, Vincent Havyarimana, Chenxi Liu, Chengming Zou, Di Wu
2021 J jnl
IEEE Trans. Instrum. Meas.
Vincent Havyarimana, Zhu Xiao, Pierre Claver Bizimana, Damien Hanyurwimfura, Hongbo Jiang
2020 J jnl
IEEE Trans. Intell. Transp. Syst.
Vincent Havyarimana, Zhu Xiao, Alexis Sibomana, Di Wu, Jing Bai
2020 J jnl
Appl. Soft Comput.
Talal Ahmed Ali Ali, Zhu Xiao, Seyedali Mirjalili, Vincent Havyarimana
2019 J jnl
KSII Trans. Internet Inf. Syst.
Fan Zhang, Jing Bai, Xiaoyu Li, Changxing Pei, Vincent Havyarimana
2019 J jnl
Intell. Data Anal.
Dong Wang, Chengcheng Wang, Jianhua Xiao, Zhu Xiao, Weiwei Chen, Vincent Havyarimana
2019 J jnl
Knowl. Based Syst.
Talal Ahmed Ali Ali, Zhu Xiao, Jingru Sun, Seyedali Mirjalili, Vincent Havyarimana, Hongbo Jiang
2019 J jnl
ACM Trans. Knowl. Discov. Data
Yourong Huang, Zhu Xiao, Xiaoyou Yu, Dong Wang, Vincent Havyarimana, Jing Bai
2019 J jnl
Knowl. Based Syst.
Jianhua Xiao, Zhu Xiao, Dong Wang, Jing Bai, Vincent Havyarimana, Fanzi Zeng
2019 J jnl
IEEE Access
Jie Chen, Zhu Xiao, Dong Wang, Wang-Chen Long, Jing Bai, Vincent Havyarimana
2019 conf
HPCC/SmartCity/DSS
Jie Chen, Zhu Xiao, Dong Wang, Wangchen Long, Vincent Havyarimana
2019 J jnl
IEEE Access
Fanzi Zeng, Xiang Xiao, Zhu Xiao, Jingru Sun, Jing Bai, Vincent Havyarimana, Hongbo Jiang
2019 J jnl
IEEE Internet Things J.
Zhu Xiao, Dapeng Xiao, Vincent Havyarimana, Hongbo Jiang, Daibo Liu, Dong Wang, Fanzi Zeng
2018 J jnl
IEEE Access
Fanzi Zeng, Qiao Li, Zhu Xiao, Vincent Havyarimana, Jing Bai
2018 J jnl
Inf. Fusion
Vincent Havyarimana, Damien Hanyurwimfura, Philibert Nsengiyumva, Zhu Xiao
2018 J jnl
KSII Trans. Internet Inf. Syst.
Hangyu Gu, Shuangchun Li, Vincent Havyarimana, Dong Wang, Zhu Xiao
2018 B conf
DCC
Jie Chen, Dong Wang, Zhu Xiao, Vincent Havyarimana
2018 J jnl
IEEE Trans. Veh. Technol.
Zhu Xiao, Xiangyu Shen, Fanzi Zeng, Vincent Havyarimana, Dong Wang, Weiwei Chen, Keqin Li
2018 conf
PAAP
Yueen Ma, Vincent Havyarimana, Jing Bai, Zhu Xiao
2016 J jnl
Sensors
Zhu Xiao, Vincent Havyarimana, Tong Li, Dong Wang
2016 J jnl
Vis. Comput.
Hanling Zhang, Min Xu, Liyuan Zhuo, Vincent Havyarimana
2016 J jnl
Sensors
Zhu Xiao, Hongjing Liu, Vincent Havyarimana, Tong Li, Dong Wang
2016 J jnl
Int. J. Embed. Syst.
Yuanting Li, Xiaohong Li, Vincent Havyarimana, Dong Wang, Zhu Xiao
2015 B conf
PIMRC
Dong Wang, Jiaqi Liao, Zhu Xiao, Xiaohong Li, Vincent Havyarimana
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"