Oleg Okun

27 papers A* 1A 2B 5C 2Misc 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2011 book
Oleg Okun, Giorgio Valentini, Matteo Ré
2009 book
Applications of Supervised and Unsupervised Ensemble Methods
Oleg Okun, Giorgio Valentini
2009 J jnl
Artif. Intell. Medicine
Oleg Okun, Helen Priisalu
2008 B conf
IJCNN
Oleg Okun, Giorgio Valentini
2008 B conf
IJCNN
Oleg Okun, Helen Priisalu
2007 conf
WILF
Oleg Okun, Helen Priisalu
2007 conf
IbPRIA (2)
Oleg Okun, Helen Priisalu
2007 J jnl
Signal Process.
Oleg Okun, Helen Priisalu
2006 J jnl
EURASIP J. Adv. Signal Process.
Oleg Okun, Helen Priisalu
2006 J jnl
EURASIP J. Adv. Signal Process.
Oleg Okun, Matti Pietikäinen
2006 B conf
ESANN
Oleg Okun, Nikolay G. Zagoruiko, Alexessander Alves, Olga Kutnenko, Irina Borisova
2005 conf
ECML
Oleg Okun, Helen Priisalu, Alexessander Alves
2005 conf
SCIA
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
2005 J jnl
Pattern Recognit.
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
2003 B conf
ESANN
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
2003 Misc conf
IbPRIA
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
2003 C conf
ICANN
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin
2002 conf
ICPR (3)
Oleg Okun, Yu Yan, Matti Pietikäinen
2002 conf
FSKD
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
2001 A conf
ICDAR
Matti Pietikäinen, Oleg Okun
2001 conf
Document Recognition and Retrieval
Oleg Okun, Ari Vesanen, Matti Pietikäinen
2000 B conf
ICPR
Oleg Okun, Matti Pietikäinen
1999 J jnl
Int. J. Document Anal. Recognit.
Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola
1999 A conf
ICDAR
Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola
1995 conf
Document Recognition
Oleg Okun, Sergey Ablameyko
1993 A* conf
ICCV
Sergey Ablameyko, Vladimir Bereishik, Oleg Frantskevich, Maria Homenko, E. Melnik, Oleg Okun, Nadeshda Paramonova
1993 C conf
CAIP
Sergey Ablameyko, Oleg Okun
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

    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_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_DYLIB.value

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {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

            # Get architectures (macho is already parsed in base class)
            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)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_dylibs"