Ines Mergel

32 papers Journal 17Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digit. Gov. Res. Pract.
Ines Mergel, Noella Edelmann, Nathalie Haug
2026 J jnl
Inf. Polity
David Eaves, Ines Mergel, Amanda Clarke, Jordyn Fetter, Tom Steinberg
2025 J jnl
Gov. Inf. Q.
Juliane Schmeling, Sami al Dakruni, Ines Mergel
2022 J jnl
Gov. Inf. Q.
Ada Scupola, Ines Mergel
2022 J jnl
Gov. Inf. Q.
Christopher Wilson, Ines Mergel
2022 conf
DG.O
Noella Edelmann, Ines Mergel
2019 J jnl
Gov. Inf. Q.
Ines Mergel, Noella Edelmann, Nathalie Haug
2019 J jnl
Gov. Inf. Q.
Ines Mergel
2018 J jnl
Gov. Inf. Q.
Ines Mergel, Yiwei Gong, John Bertot
2018 conf
DG.O
Ines Mergel, Rainer Kattel, Veiko Lember, Keegan McBride
2018 J jnl
Gov. Inf. Q.
Ines Mergel, Alexander Kleibrink, Jens Sörvik
2016 J jnl
Gov. Inf. Q.
Ines Mergel
2016 J jnl
Gov. Inf. Q.
Clayton Wukich, Ines Mergel
2016 J jnl
Gov. Inf. Q.
Ines Mergel
2015 J jnl
Gov. Inf. Q.
Ines Mergel
2015 conf
DG.O
Adegboyega K. Ojo, Ines Mergel, Marijn Janssen, Anneke Zuiderwijk
2014 conf
CSCW Companion
Libby Hemphill, Ingrid Erickson, David Ribes, Ines Mergel
2014 conf
DG.O
Ines Mergel
2014 conf
HICSS
Ines Mergel, Stuart Bretschneider, Claudia Louis, Jason Smith
2013 J jnl
Gov. Inf. Q.
Ines Mergel
2013 J jnl
Gov. Inf. Q.
Ines Mergel
2012 conf
iConference
Ines Mergel, Gabriel H. Mugar, Mohammad Hossein Jarrahi
2012 book
Studying Social Networks - A Guide to Empirical Research.
Marina Hennig, Ulrik Brandes, Jürgen Pfeffer, Ines Mergel
2012 J jnl
Inf. Polity
Ines Mergel
2010 ch.
Handbuch Netzwerkforschung
Ines Mergel, Marina Hennig
2007 conf
DG.O
David Lazer, Ines Mergel, Curt Ziniel, Kevin M. Esterling, Michael Neblo
2007 conf
HICSS
Harald F. O. von Kortzfleisch, Ines Mergel, Christian Proll
2006 conf
DG.O
David Lazer, Kevin M. Esterling, Michael Neblo, Jane E. Fountain, Ines Mergel, Curt Ziniel
2006 J jnl
HMD Prax. Wirtsch.
Andreas Kuhlenkamp, Shakib Manouchehri, Ines Mergel, Udo Winand
2005 conf
DG.O
David Lazer, Kevin M. Esterling, Michael Neblo, Jane E. Fountain, Ines Mergel, Curt Ziniel
2005 conf
DG.O
Ines Mergel, David Lazer, Maria Christina Binz-Scharf
2004 conf
DG.O
Jane E. Fountain, David Lazer, Robin McKinnon, Ines Mergel
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"