Manu Perumkunnil

16 papers A* 1A 4B 1C 3Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
DATE
Joyjit Kundu, Debjyoti Bhattacharjee, Nathan Josephsen, Ankit Pokhrel, Udara De Silva, Wenzhe Guo, Steven Van Winckel, Steven Brebels, Quentin Herr, Anna Herr, Manu Perumkunnil
2025 conf
IISWC
Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil
2025 J jnl
CoRR
Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil
2024 J jnl
CoRR
Joyjit Kundu, Debjyoti Bhattacharjee, Nathan Josephsen, Ankit Pokhrel, Udara De Silva, Wenzhe Guo, Steven Van Winckel, Steven Brebels, Manu Perumkunnil, Quentin Herr, Anna Herr
2023 B conf
ISPASS
Diksha Moolchandani, Joyjit Kundu, Frederik Ruelens, Peter Vrancx, Timon Evenblij, Manu Perumkunnil
2023 C conf
MPLR
Christos Panagiotis Lamprakos, Sotirios Xydis, Peter Kourzanov, Manu Perumkunnil, Francky Catthoor, Dimitrios Soudris
2023 C conf
ISCAS
Mohit Kumar Gupta, Manu Perumkunnil, Dwaipayan Biswas, Saeideh Alinezhad Chamazcoti, Gouri Sankar Kar, Arnaud Furnémont, Julien Ryckaert
2023 conf
ESSDERC
Fernando García-Redondo, S. Rao, M. Gupta, Manu Perumkunnil, Y. Xiang, D. Abdi, Simon Van Beek, Sebastien Couet, Marie Garcia Bardon
2022 A conf
ITC
Mahta Mayahinia, Mehdi B. Tahoori, Manu Perumkunnil, Kristof Croes, Francky Catthoor
2022 conf
ESSDERC
Mohit Gupta, Manu Perumkunnil, Andrea Fantini, Saeideh Alinezhad Chamazcoti, Woojin Kim, Marie Garcia Bardon, Gouri Sankar Kar, Arnaud Furnémont
2021 conf
ESSDERC
Hyungrock Oh, Attilio Belmonte, Manu Perumkunnil, Jérôme Mitard, Nouredine Rassoul, Gabriele Luca Donadio, Romain Delhougne, Arnaud Furnémont, Gouri Sankar Kar, Wim Dehaene
2021 A conf
DATE
Quentin Huppert, Timon Evenblij, Manu Perumkunnil, Francky Catthoor, Lionel Torres, David Novo
2021 A conf
ISLPED
Anthony Agnesina, Moritz Brunion, Jinwoo Kim, Alberto García Ortiz, Dragomir Milojevic, Francky Catthoor, Manu Perumkunnil, Sung Kyu Lim
2021 conf
IMW
Sidharth Rao, Woojin Kim, Simon Van Beek, Shreya Kundu, Manu Perumkunnil, Stefan Cosemans, Farrukh Yasin, Sebastien Couet, Robert Carpenter, Barry J. O'Sullivan, Shamin H. Sharifi, N. Jossart, Laurent Souriau, Ludovic Goux, Dimitri Crotti, Gouri Sankar Kar
2019 C conf
ICCD
Timon Evenblij, Christian Tenllado, Manu Perumkunnil, Francky Catthoor, Sushil Sakhare, Peter Debacker, Gouri Sankar Kar, Arnaud Furnémont, Nicolas Bueno, José Ignacio Gómez Pérez
2019 A* conf
DAC
Trong Huynh Bao, Anabela Veloso, Sushil Sakhare, Philippe Matagne, Julien Ryckaert, Manu Perumkunnil, Davide Crotti, Farrukh Yasin, Alessio Spessot, Arnaud Furnémont, Gouri Sankar Kar, Anda Mocuta
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"