Narzikul Shadiev

16 papers B 5Unranked 11
YearRankTypeTitle / Venue / Authors
2025 conf
ICITL (2)
Asror Muhamedov, Rustam Shadiev, Zilola Kasimova, Narzikul Shadiev, Mirzaali Fayziev, Fahriye Altinay, Nurassyl Kerimbayev, Zhanargul Beisembayeva, Elena Gaevskaia
2024 conf
ICITL (1)
Nursulu Shaimerdenova, Gulbarshin Baigunissova, Zhanargul Beisembayeva, Assel Amrenova, Akzhan Abdykhalykova, Aygul Tadjibaeva, Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev, Natalya Tukenova
2024 conf
ICITL (2)
Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev, Fahriye Altinay, Nurassyl Kerimbayev, Elena Gayevskaya, Gulbarshin Baigunissova, Zhanargul Beisembayeva, Assel Amrenova, Aygul Tadjibaeva
2023 conf
ICITL
Rustam Shadiev, Suping Yi, Chuanwen Dang, Narzikul Shadiev, Mirzaali Fayziev, Dilshod Atamuratov, Gulbarshin Baigunissova, Assel Amrenova, Natalya Tukenova
2023 conf
ICITL
Gulbarshin Baigunissova, Zhanargul Beisembayeva, Rustam Shadiev, Akzhan Abdykhalykova, Assel Amrenova, Narzikul Shadiev, Mirzaali Fayziev
2023 conf
DASC/PiCom/CBDCom/CyberSciTech
Rustam Shadiev, Mirzaali Fayziev, Gulmira Abildinova, Jiawen Liu, Fahriye Altinay, Roza Zhussupova, Nurassyl Kerimbayev, Aynur Jumadillaeva, Elena Gaevskaia, Narzikul Shadiev
2022 conf
ICITL
Rustam Shadiev, Meng-Ke Yang, Dilshod Atamuratov, Narzikul Shadiev, Mirzaali Fayziev, Elena Gaevskaia, Anna Kalizhanova, Nurzhamal Oshanova
2022 B conf
ICALT
Rustam Shadiev, Taoying Liu, Narzikul Shadiev, Xueying Wang, Meng-Ke Yang, Mirzaali Fayziev, Roza Zhussupova
2021 conf
ICITL
Rustam Shadiev, Taoying Liu, Narzikul Shadiev, Mirzaali Fayziev, Elena Gaevskaya, Roza Zhussupova, Olimboy Otajonov
2020 B conf
ICALT
Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev
2020 conf
ICITL
Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev, Yuliya Halubitskaya
2019 conf
ICITL
Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev, Bakhora Shadieva
2018 conf
ICITL
Rustam Shadiev, Narzikul Shadiev, Mirzaali Fayziev
2017 B conf
ICALT
Rustam Shadiev, Barry Lee Reynolds, Yueh-Min Huang, Narzikul Shadiev, Wei Wang, Laxmisha Rai, Wanwisa Wannapipat
2015 B conf
ICALT
Rustam Shadiev, Yueh-Min Huang, Wu-Yuin Hwang, Narzikul Shadiev
2014 B conf
ICALT
Rustam Shadiev, Yueh-Min Huang, Wu-Yuin Hwang, Narzikul Shadiev
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"