Jaechun No

51 papers A 3B 1C 7Misc 3Journal 12Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEICE Trans. Inf. Syst.
Taehoon Kim, Jaechun No, Sehoon Kwon, Sungsoon Park
2025 J jnl
IEEE Comput. Archit. Lett.
Taehoon Kim, Jaechun No
2024 conf
ICCSA (2)
Jungmyoung Kim, Jaechun No
2022 conf
UNet
Sehoon Kwon, Jaechun No, Sung-Soon Park
2020 conf
SmartCom
Jaechun No, Sung-Soon Park
2019 conf
ICUFN
Jaechun No, Sung-Soon Park
2018 J jnl
J. Supercomput.
Zhegao Piao, Seong Joon Yoo, Yeong Hyeon Gu, Jaechun No, Zhiyan Jiang, Helin Yin
2018 conf
ICUFN
Taehoon Kim, Seungho Choi, Jaechun No, Sung-Soon Park
2017 J jnl
Comput. Informatics
Jaechun No, Sung-Soon Park, Cheol-Su Lim
2017 J jnl
Clust. Comput.
Taehoon Kim, Jaechun No, Zhegao Piao, Seong Joon Yoo
2017 J jnl
IEICE Trans. Inf. Syst.
Yeo-Jin Yoon, Jaechun No, Soo-Mi Choi
2017 conf
FGCT
Taehoon Kim, Jaechun No, Sung-Soon Park
2016 conf
EDB
Yeong Hyeon Gu, Seong Joon Yoo, Zhegao Piao, Jaechun No, Zhiyan Jiang, Helin Yin
2016 conf
CyberC
Hyeunjee Kim, Hoonha Choi, Youngwoo Kim, Jaechun No
2016 J jnl
Sci. Program.
Jaechun No, Sung-Soon Park
2013 conf
CyberC
Jaechun No, Sung-Soon Park
2012 conf
CyberC
Jaechun No, Sung-Soon Park
2012 J jnl
J. Parallel Distributed Comput.
Jaechun No
2011 conf
CyberC
Jaechun No
2009 conf
ICHIT
Jinsun Suk, Jaechun No
2009 C conf
HPCC
Jinsun Suk, Jaechun No
2009 conf
ICCS (2)
Jinsun Suk, Moonkyung Kim, Hyun Chul Eom, Jaechun No
2007 C conf
ISPA
Jaechun No, Chang Won Park, Sung-Soon Park
2006 Misc conf
International Conference on Computational Science (4)
Jaechun No, Chang Park, Sung-Soon Park
2006 C conf
HPCC
Chang Won Park, Jaechun No, Sung-Soon Park
2006 C conf
ISMIS
Jaechun No, Chang Won Park, Sung-Soon Park
2006 conf
NGITS
Jaechun No, Chang Won Park, Sung-Soon Park
2006 C conf
ISPA
Jaechun No, Chang Won Park, Sung-Soon Park
2005 Misc conf
International Conference on Computational Science (1)
Sang-Jun Hwang, Jaechun No, Sung-Soon Park
2005 conf
EGC
Jaechun No, Hyoungwoo Park
2005 Misc conf
International Conference on Computational Science (1)
Jaechun No, Hyoungwoo Park
2005 conf
GCC
Jaechun No, Nguyen Cuong, Sung-Soon Park
2004 C conf
CIS
Jaechun No, Sung-Soon Park
2004 C conf
PDCAT
Jaechun No, Hyo Kim, Sung-Soon Park
2004 conf
AIS
Sugjoon Yoon, Jaechun No, Jon Ahn
2004 conf
GCC Workshops
Jaechun No, Hyo Kim, Jang-sun Lee
2003 J jnl
J. Parallel Distributed Comput.
Jaechun No, Rajeev Thakur, Alok N. Choudhary
2002 J jnl
J. Parallel Distributed Comput.
Jaechun No, Sung-Soon Park, Jesús Carretero, Alok N. Choudhary
2001 J jnl
CoRR
Jaechun No, Rajeev Thakur, Dinesh K. Kaushik, Lori A. Freitag, Alok N. Choudhary
2001 A conf
IPDPS
Jaechun No, Rajeev Thakur, Dinesh K. Kaushik, Lori A. Freitag, Alok N. Choudhary
2000 J jnl
Clust. Comput.
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No, Gokhan Memik, Xiaohui Shen, Wei-keng Liao, Harsha S. Nagesh, Sachin More, Valerie E. Taylor, Rajeev Thakur, Rick L. Stevens
2000 A conf
SC
Jaechun No, Rajeev Thakur, Alok N. Choudhary
1999 A conf
HPDC
Alok N. Choudhary, Mahmut T. Kandemir, Harsha S. Nagesh, Jaechun No, Xiaohui Shen, Valerie E. Taylor, Sachin More, Rajeev Thakur
1999 conf
HPCN Europe
Jaechun No, Jesús Carretero, Alok N. Choudhary
1999 conf
Applied Informatics
Jaechun No, Jesús Carretero, Alok N. Choudhary
1999 conf
ACPC
Jesús Carretero, Jaechun No, Alok N. Choudhary
1998 conf
HPCN Europe
Jesús Carretero, Jaechun No, Sung-Soon Park, Alok N. Choudhary, Pang Chen
1998 conf
IRREGULAR
Jesús Carretero, Jaechun No, Alok N. Choudhary, Pang Chen
1998 conf
IPPS/SPDP
Jaechun No, Sung-Soon Park, Jesús Carretero, Alok N. Choudhary, Pang Chen
1997 conf
PARCO
Jaechun No, Alok N. Choudhary
1997 B conf
ICPADS
Jaechun No
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"