Karim R. Lakhani

24 papers A* 3A 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inf. Organ.
Katherine C. Kellogg, Hila Lifshitz, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland, François Candelon, Karim R. Lakhani
2024 J jnl
CoRR
Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani
2022 J jnl
Manag. Sci.
Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, Karim R. Lakhani
2022 J jnl
CoRR
Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, Karim R. Lakhani
2021 J jnl
CoRR
Eamon Duede, Misha Teplitskiy, Karim R. Lakhani, James Evans
2021 J jnl
Bioinform.
Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin H. Paik, N. J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, Aravind Subramanian
2021 J jnl
CoRR
Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani, Dashun Wang
2020 J jnl
CoRR
Misha Teplitskiy, Eamon Duede, Michael Menietti, Karim R. Lakhani
2020 A conf
AAMAS
Hau Chan, David C. Parkes, Karim R. Lakhani
2019 conf
ISSI
Misha Teplitskiy, Eamon Duede, Michael Menietti, Karim R. Lakhani
2016 J jnl
Int. J. Document Anal. Recognit.
Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, Karim R. Lakhani
2016 J jnl
Manag. Sci.
Kevin J. Boudreau, Eva C. Guinan, Karim R. Lakhani, Christoph Riedl
2016 J jnl
Inf. Syst. Res.
Samer Faraj, Georg von Krogh, Eric Monteiro, Karim R. Lakhani
2014 J jnl
CoRR
Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, Karim R. Lakhani
2011 J jnl
Manag. Sci.
Kevin J. Boudreau, Nicola Lacetera, Karim R. Lakhani
2010 J jnl
Organ. Sci.
Lars Bo Jeppesen, Karim R. Lakhani
2007 conf
ICSE Companion
Andrea Capiluppi, Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani, Gregorio Robles, Walt Scacchi
2006 J jnl
Softw. Process. Improv. Pract.
Walt Scacchi, Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani
2005 J jnl
ACM SIGSOFT Softw. Eng. Notes
Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani
2005 J jnl
ACM SIGSOFT Softw. Eng. Notes
Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani, Walt Scacchi
2005 A* conf
ICSE
Joseph Feller, Karim R. Lakhani, Brian Fitzgerald, Walt Scacchi, Scott A. Hissam
2004 A* conf
ICSE
Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani
2003 J jnl
ACM SIGSOFT Softw. Eng. Notes
Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani
2003 A* conf
ICSE
Joseph Feller, Brian Fitzgerald, Scott A. Hissam, Karim R. Lakhani
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"