Imran N. Junejo

54 papers A* 3B 11Journal 24Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Akash Haridas, Imran N. Junejo
2025 J jnl
CoRR
Lakshya Gupta, Imran N. Junejo
2025 J jnl
CoRR
Kai Zhu, Vignesh Edithal, Le Zhang, Ilia Blank, Imran N. Junejo
2024 J jnl
J. Supercomput.
Mohammed Lataifeh, Xavier A. Carrasco, Ashraf Elnagar, Naveed Ahmed, Imran N. Junejo
2023 J jnl
CoRR
Mohammed Lataifeh, Xavier A. Carrascoa, Ashraf Elnagar, Naveed Ahmed, Imran N. Junejo
2023 J jnl
CoRR
Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev, Anh Huy Phan, Salman Ahmadi-Asl, Naveed Ahmed, Imran N. Junejo, Zaher Al Aghbari, Thar Baker, Ahmed Mohamed Khedr, Andrzej Cichocki
2021 conf
ICHMS
Rizwan Ahmed, Muhammad Shahzad Rafiq, Imran N. Junejo
2021 J jnl
SN Comput. Sci.
Imran N. Junejo, Naveed Ahmed
2021 J jnl
IEEE Access
Imran N. Junejo
2021 conf
ICHMS
Naveed Ahmed, Mohammed Lataifeh, Imran N. Junejo
2019 conf
ICGSP
Imran N. Junejo
2018 J jnl
IET Comput. Vis.
Imran N. Junejo, Naveed Ahmed
2017 J jnl
J. Electronic Imaging
Naveed Ahmed, Imran N. Junejo
2017 J jnl
Pattern Recognit.
Rima Chaker, Zaher Al Aghbari, Imran N. Junejo
2016 conf
OBD
Zaher Al Aghbari, Imran N. Junejo
2015 B conf
ICIP
Rima Chaker, Imran N. Junejo, Zaher Al Aghbari
2015 J jnl
Int. J. Comput. Intell. Syst.
Zaher Al Aghbari, Imran N. Junejo
2014 J jnl
Image Vis. Comput.
Ayesha M. Talha, Imran N. Junejo
2014 J jnl
Vis. Comput.
Imran N. Junejo, Khurrum Nazir Junejo, Zaher Al Aghbari
2013 J jnl
Signal Image Video Process.
Imran N. Junejo, Adeel A. Bhutta, Hassan Foroosh
2012 J jnl
Mach. Vis. Appl.
Imran N. Junejo, Hassan Foroosh
2012 conf
CAMP
Imran N. Junejo
2012 J jnl
J. Vis. Commun. Image Represent.
Imran N. Junejo, Zaher Al Aghbari
2011 A* conf
ICCV
Chuan Sun, Imran N. Junejo, Hassan Foroosh
2011 J jnl
Comput. Graph. Forum
Chuan Sun, Imran N. Junejo, Hassan Foroosh
2011 B conf
ICIP
Adeel A. Bhutta, Imran N. Junejo, Hassan Foroosh
2011 J jnl
Mach. Vis. Appl.
Imran N. Junejo
2011 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez
2010 J jnl
Comput. Vis. Image Underst.
Imran N. Junejo, Hassan Foroosh
2010 J jnl
Signal Image Video Process.
Imran N. Junejo
2009 conf
VISAPP (2)
Emilie Dexter, Patrick Pérez, Ivan Laptev, Imran N. Junejo
2008 conf
ICIAR
Imran N. Junejo
2008 conf
EUSIPCO
Imran N. Junejo
2008 B conf
ICPR
Imran N. Junejo
2008 conf
ECCV (2)
Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez
2008 conf
ECCV (1)
Imran N. Junejo, Hassan Foroosh
2008 J jnl
Image Vis. Comput.
Imran N. Junejo, Hassan Foroosh
2008 B conf
ICPR
Imran N. Junejo, Hassan Foroosh
2008 B conf
ICIP
Imran N. Junejo, Hassan Foroosh
2008 B conf
ICPR
Imran N. Junejo, Hassan Foroosh
2008 B conf
ICPR
Imran N. Junejo, Hassan Foroosh
2008 B conf
ICIP
Imran N. Junejo, Hassan Foroosh
2007 J jnl
IEEE Trans. Syst. Man Cybern. Part B
Imran N. Junejo, Xiaochun Cao, Hassan Foroosh
2007 A* conf
CVPR
Imran N. Junejo, Hassan Foroosh
2007 conf
ACCV (2)
Nazim Ashraf, Imran N. Junejo, Hassan Foroosh
2007 conf
ICIP (3)
Imran N. Junejo, Nazim Ashraf, Yuping Shen, Hassan Foroosh
2007 A* conf
ICCV
Imran N. Junejo, Hassan Foroosh
2007 conf
ICIP (3)
Imran N. Junejo, Hassan Foroosh
2006 conf
ICPR (4)
Imran N. Junejo, Xiaochun Cao, Hassan Foroosh
2006 conf
ICPR (4)
Imran N. Junejo, Xiaochun Cao, Hassan Foroosh
2006 B conf
AVSS
Imran N. Junejo, Hassan Foroosh
2006 B conf
AVSS
Imran N. Junejo, Xiaochun Cao, Hassan Foroosh
2006 B conf
AVSS
Imran N. Junejo, Hassan Foroosh
2004 conf
ICPR (2)
Imran N. Junejo, Omar Javed, Mubarak Shah
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"