Hang Thanh Bui

15 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Inf. Secur. Appl.
Khanh Luong, Arash Mahboubi, Geoff Jarrad, Seyit Camtepe, Michael Bewong, Mohammed Bahutair, Hamed Aboutorab, Hang Thanh Bui
2025 J jnl
CoRR
Arash Mahboubi, Hamed Aboutorab, Seyit Camtepe, Hang Thanh Bui, Khanh Luong, Keyvan Ansari, Shenlu Wang, Bazara I. A. Barry
2025 J jnl
CoRR
Nazatul H. Sultan, Yan Bo, Yansong Gao, Seyit Camtepe, Arash Mahboubi, Hang Thanh Bui, Aufeef Chauhan, Hamed Aboutorab, Michael Bewong, Praveen Gauravaram, Md. Rafiqul Islam, Sharif Abuadbba
2025 conf
ACISP (3)
Arash Mahboubi, Hamed Aboutorab, Seyit Camtepe, Hang Thanh Bui, Khanh Luong, Keyvan Ansari, Shenlu Wang, Bazara I. A. Barry
2025 J jnl
Internet Things
Arash Mahboubi, Khanh Luong, Hamed Aboutorab, Hang Thanh Bui, Seyit Camtepe, Keyvan Ansari, Bazara I. A. Barry
2024 conf
WISE (5)
Arash Mahboubi, Hang Thanh Bui, Hamed Aboutorab, Khanh Luong, Seyit Camtepe, Keyvan Ansari
2024 J jnl
Comput. Secur.
Hang Thanh Bui, Hamed Aboutorab, Arash Mahboubi, Yansong Gao, Nazatul Haque Sultan, Aufeef Chauhan, Mohammad Zavid Parvez, Michael Bewong, Rafiqul Islam, Zahidul Islam, Seyit Ahmet Çamtepe, Praveen Gauravaram, Dineshkumar Singh, Muhammad Ali Babar, Shihao Yan
2024 J jnl
J. Netw. Comput. Appl.
Arash Mahboubi, Khanh Luong, Hamed Aboutorab, Hang Thanh Bui, Geoff Jarrad, Mohammed Bahutair, Seyit Camtepe, Ganna Pogrebna, Ejaz Ahmed, Bazara I. A. Barry, Hannah Gately
2024 conf
ICEBE
Yu Zhang, Hang Thanh Bui, Michael Zipperle, Fiona Buick, Satish Chand, Omar Khadeer Hussain, Min Wang, Huadong Mo, Wenjie Zhang
2024 J jnl
Comput. Electron. Agric.
Yansong Gao, Seyit Ahmet Çamtepe, Nazatul Haque Sultan, Hang Thanh Bui, Arash Mahboubi, Hamed Aboutorab, Michael Bewong, Rafiqul Islam, Md Zahid Islam, Aufeef Chauhan, Praveen Gauravaram, Dineshkumar Singh
2023
Hang Thanh Bui
2023 J jnl
Knowl. Based Syst.
Hang Thanh Bui, Omar Khadeer Hussain, Daniel D. Prior, Farookh Khadeer Hussain, Morteza Saberi
2022 J jnl
Knowl. Based Syst.
Hang Thanh Bui, Omar Khadeer Hussain, Daniel D. Prior, Farookh Khadeer Hussain, Morteza Saberi
2022 conf
WI/IAT
Hang Thanh Bui, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain
2021 J jnl
World Wide Web
Hang Thanh Bui, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain
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"