Rakesh Jain

23 papers B 2Misc 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Bus. Process. Manag. J.
Dnyaneshwar Ghode, Vinod Yadav, Rakesh Jain, Gunjan Soni
2023 J jnl
Bus. Process. Manag. J.
Ganesh Tanpure, Vinod Yadav, Rakesh Jain, Gunjan Soni
2021 J jnl
CoRR
Arastu Sharma, Rakesh Jain
2020 J jnl
J. Enterp. Inf. Manag.
Dnyaneshwar Ghode, Vinod Yadav, Rakesh Jain, Gunjan Soni
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Rakesh Jain, Kais Klai, Samir Tata
2019 J jnl
Ind. Manag. Data Syst.
Vinod Yadav, Rakesh Jain, Murari Lal Mittal, Avinash Panwar, Andrew C. Lyons
2018 conf
IEEM
Niketa Jain, Ajay Pal Singh Rathore, Rakesh Jain, Om Prakash Yadav
2017 J jnl
Ind. Manag. Data Syst.
Man Mohan Siddh, Gunjan Soni, Rakesh Jain, Milind Kumar Sharma, Vinod Yadav
2017 conf
EDGE
Rakesh Jain, Samir Tata
2017 conf
OTM Conferences (1)
Samir Tata, Kais Klai, Rakesh Jain
2017 conf
SCC
Samir Tata, Rakesh Jain, Heiko Ludwig, Sandeep Gopisetty
2017 J jnl
Ind. Manag. Data Syst.
Avinash Panwar, Bimal P. Nepal, Rakesh Jain, Ajay Pal Singh Rathore, Andrew C. Lyons
2015 B conf
IM
Yang Song, Ramani Routray, Rakesh Jain, Chung-Hao Tan
2015 J jnl
Int. J. Manuf. Technol. Manag.
Avinash Panwar, Rakesh Jain, Ajay Pal Singh Rathore
2015 conf
IEEE BigData
Gabor Madl, Ramani Routray, Yang Song, Rakesh Jain
2014 conf
ESSDERC
Remis Gaska, Mikhail Gaevski, Jianyu Deng, Rakesh Jain, Grigory Simin, Michael S. Shur
2014 Misc conf
HiPC
Yang Song, Rakesh Jain, Ramani Routray
2014 B conf
IC2E
Yang Song, Ramani Routray, Rakesh Jain
2013 J jnl
Comput. Ind. Eng.
Vijay Rathod, Om Prakash Yadav, Ajay Pal Singh Rathore, Rakesh Jain
2012 J jnl
Qual. Reliab. Eng. Int.
Vijay Rathod, Om Prakash Yadav, Ajay Pal Singh Rathore, Rakesh Jain
2011 conf
IEEM
Vijay Rathod, Om Prakash Yadav, Ajay Pal Singh Rathore, Rakesh Jain
2011 J jnl
J. Serv. Sci. Res.
Anupam Krishna, G. S. Dangayach, Rakesh Jain
2010 J jnl
Comput. Ind. Eng.
Manu Augustine, Om Prakash Yadav, Rakesh Jain, Ajay Pal Singh Rathore
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"