H. G. Khiem

14 papers A 1B 1C 1Unranked 11
YearRankTypeTitle / Venue / Authors
2024 conf
FDSE (2)
H. G. Khiem, T. B. Nam, D. L. Khanh, P. T. Phat, V. H. Quan, Huong Hoang Luong
2024 B conf
BigData
N. M. Triet, Vo Hong Khanh, T. B. Nam, Tran Dang Khoa, H. G. Khiem, T. Q. Bao, D. M. Hieu, N. T. Anh
2024 conf
iiWAS (1)
M. Nguyen Triet, Le K. Bang, Hong Khanh Vo, The Anh Nguyen, T. L. Nhi, P. T. Nghiem, H. G. Khiem, T. B. Nam
2024 conf
KSEM (4)
Phan Hoang Tuan Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen D. P. Trong, T. B. Nam, Hieu M. Doan, H. G. Khiem
2024 A conf
DIS
Phan Hoang Tuan Trung, Le K. Bang, Tran Dang Khoa, H. G. Khiem, Nguyen D. P. Trong, Loc Van Cao Phu, Ngan N. T. Kim, Duc Bui Tien
2024 conf
KSEM (4)
Phan Hoang Tuan Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen Duong Phu Trong, Loc Van Cao Phu, Hieu M. Doan, H. G. Khiem
2024 conf
GECON
Phan Hoang Tuan Trung, Nhat Nguye Hung, Khoa Tran Dang, H. G. Khiem, N. T. Anh, Loc Van Cao Phu, T. B. Nam, N. T. K. Ngan
2024 conf
EDGE
Phan Hoang Tuan Trung, Hieu M. Doan, Khoa Tran Dang, H. G. Khiem, T. Q. Bao, T. N. Anh, Loc Van Cao Phu, Ngan N. T. Kim
2024 conf
KSEM (4)
Phan Hoang Tuan Trung, Le K. Bang, Kha Nguyen Hoang, Tran Quoc Bao, Nguyen Duong Phu Trong, T. B. Nam, Hieu Doan Minh, H. G. Khiem
2024 conf
CSoNet
Phat T. Tran-Truong, Phan Hoang Tuan Trung, N. T. K. Ngan, T. B. Nam, T. D. Khoa, H. G. Khiem, T. Q. Bao, D. M. Hieu, N. T. Anh
2023 conf
NEW2AN/ruSMART (1)
Duc Bui Tien, Hieu M. Doan, Hong Khanh Vo, M. Nguyen Triet, Tran Dang Khoa, H. G. Khiem, Le K. Bang, Ngan N. T. Kim
2023 conf
SETE (2)
H. G. Khiem, H. L. Huong, M. Nguyen Triet, Vo Hong Khanh, N. T. Phuc, Tran Dang Khoa, N. Q. Hien, L. K. Tung, T. B. Nam, N. T. Vinh, N. H. Kha, Q. T. Thuan, Le K. Bang, N. V. Minh, Ngan N. T. Kim, T. L. Quy
2023 conf
SETE (2)
T. B. Nam, M. Nguyen Triet, N. T. Phuc, Tran Dang Khoa, N. Q. Hien, L. K. Tung, H. G. Khiem, N. T. Vinh, N. H. Kha, Q. T. Thuan, Le K. Bang, N. V. Minh, Ngan N. T. Kim, Vo Hong Khanh
2023 C conf
ICOST
Nguyen The Anh, Vo Hong Khanh, N. T. Phuc, Tran Dang Khoa, H. G. Khiem, Nguyen D. P. Trong, Loc Van Cao Phu, Duy Nguyen Truong Quoc, T. Q. Bao, Hieu Doan Minh, Huynh T. Nghia, Ngan N. T. Kim, Huong Hoang Luong
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"