Rami Rifaieh

18 papers B 1C 5Journal 2Unranked 8
YearRankTypeTitle / Venue / Authors
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Zoé Lacroix, Cartik R. Kothari, Peter Mork, Rami Rifaieh, Mark D. Wilkinson, Juliana Freire, Sarah Cohen Boulakia
2009 ch.
Encyclopedia of Database Systems
Zoé Lacroix, Cartik R. Kothari, Peter Mork, Rami Rifaieh, Mark D. Wilkinson, Juliana Freire, Sarah Cohen Boulakia
2008 conf
ICEIS (1)
Sana Sellami, Aïcha-Nabila Benharkat, Youssef Amghar, Rami Rifaieh
2007 C conf
AICCSA
Mohamed Boukhebouze, Rami Rifaieh, Aïcha-Nabila Benharkat, Youssef Amghar
2007 J jnl
Int. J. Interoperability Bus. Inf. Syst.
Aïcha-Nabila Benharkat, Rami Rifaieh, Sana Sellami, Mohamed Boukhebouze, Youssef Amghar
2007 conf
DILS
Rami Rifaieh, Roger Unwin, Jeremy Carver, Mark A. Miller
2006 conf
SEDE
Aïcha-Nabila Benharkat, Rami Rifaieh, Herzi Khaled, Youssef Amghar
2006 conf
SITIS
Sana Sellami, Aïcha-Nabila Benharkat, Rami Rifaieh, Youssef Amghar
2006 J jnl
Int. J. Metadata Semant. Ontologies
Rami Rifaieh, Aïcha-Nabila Benharkat
2005 conf
TES
Rami Rifaieh, Uddam Chukmol, Aïcha-Nabila Benharkat
2005 conf
KES (3)
Rami Rifaieh, Aïcha-Nabila Benharkat
2005 B conf
CEC
Uddam Chukmol, Rami Rifaieh, Aïcha-Nabila Benharkat
2005 C conf
AICCSA
Rami Rifaieh, Aïcha-Nabila Benharkat
2004 conf
AMCIS
Rami Rifaieh, Ahmed Arara, Aïcha-Nabila Benharkat
2004 C conf
CIT
Rami Rifaieh, Ahmed Arara, Aïcha-Nabila Benharkat
2004 C conf
iiWAS
Aïcha-Nabila Benharkat, Rami Rifaieh
2002 C conf
DOLAP
Rami Rifaieh, Aïcha-Nabila Benharkat
2001 conf
International Conference on Internet Computing (1)
Rami Rifaieh, Aïcha-Nabila Benharkat
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"