James Odell

53 papers A 3C 3Journal 26Unranked 17
YearRankTypeTitle / Venue / Authors
2018 J jnl
Softw. Syst. Model.
Chris Partridge, Sergio de Cesare, Andrew Mitchell, James Odell
2011 J jnl
J. Object Technol.
Conrad Bock, James Odell
2010 conf
ATOP@AAMAS
James Odell
2009 ed.
ATOP@AAMAS
Klaus Fischer, Jörg P. Müller, James Odell, Arne-Jørgen Berre
2007 J jnl
Auton. Agents Multi Agent Syst.
Danny Weyns, Andrea Omicini, James Odell
2006 C conf
EUMAS
Danny Weyns, Andrea Omicini, James Odell
2005 conf
QSIC
Paul R. Taylor, Peter Evans-Greenwood, James Odell
2005 J jnl
Eng. Appl. Artif. Intell.
Bernhard Bauer, James Odell
2004 conf
AOSE
James Odell, Marian H. Nodine, Renato Levy
2004 conf
MATES
James Odell
2004 ed.
AOSE
James Odell, Paolo Giorgini, Jörg P. Müller
2004 conf
AOSE
Marc-Philippe Huget, James Odell
2004 A conf
AAMAS
Marc-Philippe Huget, James Odell
2004 J jnl
Informatica (Slovenia)
Renato Levy, James Odell
2003 conf
AOSE
H. Van Dyke Parunak, Sven Brueckner, Mitchell Fleischer, James Odell
2003 A conf
AAMAS
H. Van Dyke Parunak, Sven Brueckner, Mitchell Fleischer, James Odell
2003 ed.
AOSE
Fausto Giunchiglia, James Odell, Gerhard Weiß
2003 ed.
AOSE
Paolo Giorgini, Jörg P. Müller, James Odell
2003 J jnl
J. Object Technol.
James Odell
2003 J jnl
J. Object Technol.
James Odell, H. Van Dyke Parunak, Sven Brueckner, John A. Sauter
2003 conf
WOA
Massimo Cossentino, Gabriel Hopmans, James Odell
2003 J jnl
J. Object Technol.
James Odell, H. Van Dyke Parunak, Mitchell Fleischer
2003 J jnl
J. Object Technol.
James Odell, H. Van Dyke Parunak, Mitchell Fleischer, Sven Brueckner
2003 conf
AOSE
Agostino Poggi, Giovanni Rimassa, Paola Turci, James Odell, Haralambos Mouratidis, Gordon A. Manson
2003 J jnl
Softw. Syst. Model.
James Odell, H. Van Dyke Parunak, Mitchell Fleischer
2003 conf
AOSE
James Odell, H. Van Dyke Parunak, Sven Brueckner, John A. Sauter
2003 J jnl
J. Object Technol.
James Odell, H. Van Dyke Parunak, Mitchell Fleischer
2003 A conf
ER
James Odell
2002 J jnl
J. Object Technol.
James Odell
2002 J jnl
J. Object Technol.
James Odell
2002 conf
AOSE
James Odell, H. Van Dyke Parunak, Mitchell Fleischer, Sven Brueckner
2002 J jnl
J. Object Technol.
James Odell
2002 conf
SELMAS
James Odell, H. Van Dyke Parunak, Mitchell Fleischer
2001 J jnl
Int. J. Softw. Eng. Knowl. Eng.
Bernhard Bauer, Jörg P. Müller, James Odell
2001 conf
AOSE
Bernhard Bauer, Federico Bergenti, Philippe Massonet, James Odell
2001 conf
AOSE
H. Van Dyke Parunak, James Odell
2001 conf
Agents
H. Van Dyke Parunak, James Odell
2000 conf
AOSE
Bernhard Bauer, Jörg P. Müller, James Odell
2000 conf
ICMAS
Bernhard Bauer, Jörg P. Müller, James Odell
2000 conf
AOSE
James Odell, H. Van Dyke Parunak, Bernhard Bauer
1998 J jnl
J. Object Oriented Program.
Conrad Bock, James Odell
1998 J jnl
J. Object Oriented Program.
Conrad Bock, James Odell
1997 J jnl
J. Object Oriented Program.
Conrad Bock, James Odell
1997 J jnl
J. Object Oriented Program.
Conrad Bock, James Odell
1997 J jnl
J. Object Oriented Program.
James Odell, Guus J. Ramackers
1996 J jnl
J. Object Oriented Program.
James Odell
1995 J jnl
J. Object Oriented Program.
James Odell
1995 C conf
ISCO
James Odell
1995 C conf
ISCO
James Odell
1994 J jnl
J. Object Oriented Program.
Conrad Bock, James Odell
1994 J jnl
J. Object Oriented Program.
James Odell
1994 J jnl
J. Object Oriented Program.
James Odell
1977 J jnl
SIGMOD Rec.
James Odell
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"