Carl Bereiter

19 papers Journal 7Unranked 12
YearRankTypeTitle / Venue / Authors
2019 conf
CSCL
Carl Bereiter, Carol K. K. Chan, Huang-Yao Hong, Jiyeon Lee, Ahmad Khanlari, Pei-Yi Lin, Ching Sing Chai, Chin-Chung Tsai, Marlene Scardamalia, Seng Chee Tan, Yuyao Tong, Jan van Aalst, Jianwei Zhang, Yibing Zhang
2017 conf
CSCL
Carl Bereiter, Ulrike Cress, Frank Fischer, Kai Hakkarainen, Marlene Scardamalia, Freydis Vogel
2017 conf
CSCL
Marlene Scardamalia, Carl Bereiter, Thérèse Laferrière, Katerine Bielaczyc, Shaoming Chai, Carol K. K. Chan, Bodong Chen, Mei-Hwa Chen, Frank de Jong, Fernando Diaz del Castillo, Kai Hakkarainen, Yoshiaki Matsuzawa, Alexander McAuley, Mireia Montané, Cesar Nunes, Richard Reeve, Pirita Seitamaa-Hakkarainen, Jun Oshima, Hajime Shirouzu, Seng Chee Tan, Chewlee Teo, Jan van Aalst, Telma Vinha, Jianwei Zhang
2016 conf
ICLS
Carl Bereiter
2015 J jnl
Int. J. Comput. Support. Collab. Learn.
Bodong Chen, Marlene Scardamalia, Carl Bereiter
2015 J jnl
Int. J. Comput. Support. Collab. Learn.
Monica Resendes, Marlene Scardamalia, Carl Bereiter, Bodong Chen, Cindy Halewood
2014 J jnl
Smart Learn. Environ.
Marlene Scardamalia, Carl Bereiter
2012 conf
ICLS
Bodong Chen, Marlene Scardamalia, Monica Resendes, Maria Chuy, Carl Bereiter
2011 conf
CSCL
Maria Chuy, Jianwei Zhang, Monica Resendes, Marlene Scardamalia, Carl Bereiter
2011 conf
CSCL
Thérèse Laferrière, Marjut Viilo, Pirita Seitamaa-Hakkarainen, Kai Hakkarainen, Jun Oshima, Marlene Scardamalia, Carl Bereiter, Bodong Chen, Maria Chuy, Monica Resendes, Jan van Aalst, Carol K. K. Chan, Katerine Bielaczyc, Huang-Yao Hong, Jianwei Zhang
2011 conf
CSCL
Bodong Chen, Maria Chuy, Monica Resendes, Marlene Scardamalia, Carl Bereiter
2011 conf
CSCL
Maria Chuy, Marlene Scardamalia, Carl Bereiter, Monica Resendes, Bodong Chen, Christian Tarchi, Richard Messina, Elizabeth Morley, Katerine Bielaczyc, Stian Håklev, Jianwei Zhang
2011 conf
CSCL
Katerine Bielaczyc, Kai Hakkarainen, Guiseppe Ritella, Pirita Seitamaa-Hakkarainen, Gerry Stahl, Marlene Scardamalia, Carl Bereiter
2004 conf
ICLS
Carl Bereiter, Timothy Koschmann
1996 J jnl
Commun. ACM
Marlene Scardamalia, Carl Bereiter
1995 conf
CSCL
Jun Oshima, Carl Bereiter, Marlene Scardamalia
1993 J jnl
Commun. ACM
Marlene Scardamalia, Carl Bereiter
1992 J jnl
Interact. Learn. Environ.
Marlene Scardamalia, Carl Bereiter, Clare Brett, P. Jud Burtis, Carolyn Calhoun, Nancy Smith Lea
1984 J jnl
Cogn. Sci.
Marlene Scardamalia, Carl Bereiter, Rosanne Steinbach
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"