Maja Vidojkovic

19 papers C 3Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2015 J jnl
IEEE J. Biomed. Health Informatics
Ao Ba, Maja Vidojkovic, Kouichi Kanda, Nauman F. Kiyani, Maarten Lont, Xiongchuan Huang, Xiaoyan Wang, Cui Zhou, Yao-Hong Liu, Ming Ding, Benjamin Busze, Shoichi Masui, Makoto Hamaminato, Hiroyuki Sato, Kathleen Philips, Harmke de Groot
2015 conf
VLSIC
Christian Bachmann, Maja Vidojkovic, Xiongchuan Huang, Maarten Lont, Yao-Hong Liu, Ming Ding, Benjamin Busze, Jordy Gloudemans, Hans Giesen, Adnane Sbai, Gert-Jan van Schaik, Nauman F. Kiyani, Kouichi Kanda, Kazuaki Oishi, Shoichi Masui, Kathleen Philips, Harmke de Groot
2014 conf
ISSCC
Maja Vidojkovic, Xiongchuan Huang, Xiaoyan Wang, Cui Zhou, Ao Ba, Maarten Lont, Yao-Hong Liu, Pieter Harpe, Ming Ding, Ben Busze, Nauman F. Kiyani, Kouichi Kanda, Shoichi Masui, Kathleen Philips, Harmke de Groot
2014 conf
ISSCC
Vamshi Krishna Chillara, Yao-Hong Liu, Bindi Wang, Ao Ba, Maja Vidojkovic, Kathleen Philips, Harmke de Groot, Robert Bogdan Staszewski
2014 conf
BODYNETS
Xiaoyan Wang, Nauman F. Kiyani, Maja Vidojkovic, Kathleen Philips, Harmke de Groot, Shoichi Masui
2013 conf
ISSCC
Yao-Hong Liu, Xiongchuan Huang, Maja Vidojkovic, Ao Ba, Pieter Harpe, Guido Dolmans, Harmke de Groot
2012 conf
ISSCC
Yao-Hong Liu, Xiongchuan Huang, Maja Vidojkovic, Koji Imamura, Pieter Harpe, Guido Dolmans, Harmke de Groot
2012 C conf
ISCAS
Barend van Liempd, Maja Vidojkovic, Maarten Lont, Cui Zhou, Pieter Harpe, Dusan M. Milosevic, Guido Dolmans
2012 J jnl
IEEE Commun. Mag.
Yao-Hong Liu, Xiongchuan Huang, Maja Vidojkovic, Guido Dolmans, Harmke de Groot
2012 J jnl
IEEE Commun. Mag.
Christian Bachmann, Maryam Ashouei, Valer Pop, Maja Vidojkovic, Harmke de Groot, Bert Gyselinckx
2011 J jnl
IEEE Trans. Biomed. Circuits Syst.
Maja Vidojkovic, Xiongchuan Huang, Pieter Harpe, Simonetta Rampu, Cui Zhou, Li Huang, Jef van de Molengraft, Koji Imamura, Ben Busze, Frank Bouwens, Mario Konijnenburg, Juan Santana, Arjan Breeschoten, Jos Huisken, Kathleen Philips, Guido Dolmans, Harmke de Groot
2011 conf
ISSCC
Maja Vidojkovic, Xiongchuan Huang, Pieter Harpe, Simonetta Rampu, Cui Zhou, Li Huang, Koji Imamura, Ben Busze, Frank Bouwens, Mario Konijnenburg, Juan Santana, Arjan Breeschoten, Jos Huisken, Guido Dolmans, Harmke de Groot
2011 C conf
DSD
Harmke de Groot, Maryam Ashouei, Julien Penders, Valer Pop, Maja Vidojkovic, Bert Gyselinckx, Refet Firat Yazicioglu
2010 conf
ESSCIRC
Maja Vidojkovic, Simonetta Rampu, Koji Imamura, Pieter Harpe, Guido Dolmans, Harmke de Groot
2009 J jnl
IEICE Trans. Electron.
Arthur H. M. van Roermund, Peter G. M. Baltus, André van Bezooijen, Johannes A. (Hans) Hegt, Emanuele Lopelli, Reza Mahmoudi, Georgi I. Radulov, Maja Vidojkovic
2008 conf
ESSCIRC
Maja Vidojkovic, Mihai A. T. Sanduleanu, Vojkan Vidojkovic, Johan van der Tang, Peter G. M. Baltus, Arthur H. M. van Roermund
2008 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Mihai A. T. Sanduleanu, Maja Vidojkovic, Vojkan Vidojkovic, Arthur H. M. van Roermund, Aleksandar Tasic
2007 conf
ECCTD
Maja Vidojkovic, Mihai Sanduleanu, Johan van der Tang, Peter G. M. Baltus, Arthur H. M. van Roermund
2007 C conf
ISCAS
Mihai A. T. Sanduleanu, Maja Vidojkovic, Vojkan Vidojkovic, Arthur H. M. van Roermund, Aleksandar Tasic
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"