Vinay Kumar Srivastava

52 papers Misc 2Journal 47Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multim. Tools Appl.
Anurag Tiwari, Divyanshu Awasthi, Vinay Kumar Srivastava
2026 J jnl
J. Inf. Secur. Appl.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava, Amit Kumar Singh
2025 J jnl
Neural Comput. Appl.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2025 J jnl
Comput. Electr. Eng.
Ranjana Dwivedi, Divyanshu Awasthi, Vinay Kumar Srivastava
2025 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2025 J jnl
Image Vis. Comput.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava, Amit Kumar Singh, Brij B. Gupta
2025 J jnl
Multim. Tools Appl.
Anurag Tiwari, Divyanshu Awasthi, Vinay Kumar Srivastava
2025 J jnl
Circuits Syst. Signal Process.
Anurag Tiwari, Vinay Kumar Srivastava
2025 J jnl
Concurr. Comput. Pract. Exp.
Priyank Khare, Divyanshu Awasthi, Vinay Kumar Srivastava
2025 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2025 J jnl
Signal Image Video Process.
Anurag Tiwari, Divyanshu Awasthi, Vinay Kumar Srivastava
2025 J jnl
Clust. Comput.
Divyanshu Awasthi, Vinay Kumar Srivastava
2025 J jnl
Multim. Tools Appl.
Ranjana Dwivedi, Divyanshu Awasthi, Vinay Kumar Srivastava
2024 J jnl
Expert Syst. Appl.
Divyanshu Awasthi, Anurag Tiwari, Priyank Khare, Vinay Kumar Srivastava
2024 J jnl
Comput. Electr. Eng.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava, Amit Kumar Singh
2024 J jnl
Circuits Syst. Signal Process.
Ranjana Dwivedi, Divyanshu Awasthi, Vinay Kumar Srivastava
2024 J jnl
Circuits Syst. Signal Process.
Divyanshu Awasthi, Vinay Kumar Srivastava
2024 J jnl
Pattern Anal. Appl.
Ranjana Dwivedi, Vinay Kumar Srivastava
2024 J jnl
Multim. Tools Appl.
Anurag Tiwari, Vinay Kumar Srivastava
2024 J jnl
J. Supercomput.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2024 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Vinay Kumar Srivastava
2024 J jnl
Expert Syst. Appl.
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2023 J jnl
J. Electronic Imaging
Divyanshu Awasthi, Priyank Khare, Vinay Kumar Srivastava
2023 J jnl
Circuits Syst. Signal Process.
Divyanshu Awasthi, Vinay Kumar Srivastava
2023 J jnl
J. Supercomput.
Anurag Tiwari, Vinay Kumar Srivastava
2023 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Vinay Kumar Srivastava
2023 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Vinay Kumar Srivastava
2022 J jnl
Netw. Model. Anal. Health Informatics Bioinform.
Amit Kumar Singh, Vinay Kumar Srivastava
2022 J jnl
Multim. Tools Appl.
Divyanshu Awasthi, Vinay Kumar Srivastava
2021 J jnl
J. Intell. Syst.
Priyank Khare, Vinay Kumar Srivastava
2021 J jnl
Trans. Emerg. Telecommun. Technol.
Priyank Khare, Vinay Kumar Srivastava
2021 J jnl
Multidimens. Syst. Signal Process.
Priyank Khare, Vinay Kumar Srivastava
2021 J jnl
Multim. Tools Appl.
Falgun N. Thakkar, Vinay Kumar Srivastava
2021 J jnl
Int. J. Comput. Biol. Drug Des.
Amit Kumar Singh, Vinay Kumar Srivastava
2021 J jnl
Netw. Model. Anal. Health Informatics Bioinform.
Amit Kumar Singh, Vinay Kumar Srivastava
2020 J jnl
Netw. Model. Anal. Health Informatics Bioinform.
Amit Kumar Singh, Vinay Kumar Srivastava
2019 J jnl
Multidimens. Syst. Signal Process.
Falgun N. Thakkar, Vinay Kumar Srivastava
2017 J jnl
Multim. Tools Appl.
Falgun N. Thakkar, Vinay Kumar Srivastava
2017 J jnl
Multim. Tools Appl.
Falgun N. Thakkar, Vinay Kumar Srivastava
2017 J jnl
Turkish J. Electr. Eng. Comput. Sci.
Falgun N. Thakkar, Vinay Kumar Srivastava
2012 J jnl
Digit. Signal Process.
Malaya Kumar Hota, Vinay Kumar Srivastava
2011 J jnl
Int. J. Data Min. Bioinform.
Malaya Kumar Hota, Vinay Kumar Srivastava
2011 J jnl
Int. J. Intell. Eng. Informatics
Sushila Kamble, Vikas Maheshkar, Suneeta Agarwal, Vinay Kumar Srivastava
2011 Misc conf
ICNC
Ayushi Rastogi, Abhishek Srivastava, Vinay Kumar Srivastava, A. K. Pandey
2010 conf
IITM
Vikas Maheshkar, Sushila Kamble, Suneeta Agarwal, Vinay Kumar Srivastava
2010 J jnl
Int. J. Comput. Biol. Drug Des.
Malaya Kumar Hota, Vinay Kumar Srivastava
2009 J jnl
Wirel. Commun. Mob. Comput.
Manoj Shukla, Vinay Kumar Srivastava, Sudarshan Tiwari
2009 Misc conf
ICDCN
Manoj Shukla, Vinay Kumar Srivastava, Sudarshan Tiwari
2009 conf
ICETET
Manoj Shukla, Vinay Kumar Srivastava, Sudarshan Tiwari
2008 conf
ICON
Manoj Shukla, Vinay Kumar Srivastava, Sudarshan Tiwari
2008 J jnl
Ubiquity
Vinay Kumar Srivastava, Shailesh Rastogi
2006 J jnl
Ubiquity
Vinay Kumar Srivastava
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"