Rajesh Mehta

33 papers Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Comput. Intell. Syst.
Paluck Arora, Rajesh Mehta, Pramod Kumar Soni
2026 J jnl
Discov. Comput.
Paluck Arora, Rajesh Mehta, Pramod Kumar Soni
2025 J jnl
Soft Comput.
Amit Kumar Trivedi, Tripti Mahajan, Tanmay Maheshwari, Rajesh Mehta, Shailendra Tiwari
2024 J jnl
Clust. Comput.
Paluck Arora, Rajesh Mehta, Rohit Ahuja
2024 J jnl
Clust. Comput.
Paluck Arora, Rajesh Mehta, Rohit Ahuja
2024 J jnl
Multim. Tools Appl.
Ashok Kumar Yadav, Rajesh Mehta, Vinit Kumar, Nageswara Rao Medikondu
2024 J jnl
Multim. Tools Appl.
Ashok Kumar Yadav, Rajesh Mehta, Vinit Kumar, Nageswara Rao Medikondu
2024 J jnl
Comput. Electr. Eng.
Paluck Arora, Rajesh Mehta, Rohit Ahuja
2024 conf
ICCSA (1)
Paluck Arora, Rajesh Mehta, Rohit Ahuja
2023 J jnl
Multim. Tools Appl.
Ritu Singh, Navin Rajpal, Rajesh Mehta
2023 J jnl
Concurr. Comput. Pract. Exp.
Gaganpreet Kaur, Raman Kumar Goyal, Rajesh Mehta
2022 J jnl
Multim. Tools Appl.
Gaganpreet Kaur, Raman Kumar Goyal, Rajesh Mehta
2022 J jnl
Int. J. Pervasive Comput. Commun.
Sitharthan Ramachandran, Shanmuga Sundar Dhanabalan, Rajesh Mehta, Madurakavi Karthikeyan, I. Jacob Raglend, J. Belwin Edward, R. Raja Singh, Kumar R.
2022 J jnl
Int. J. Perform. Eng.
Anjali Jain, Navin Rajpal, Rajesh Mehta
2022 J jnl
CoRR
Michele Bennett, Mehdi Nekouei, Armand Prieditis, Rajesh Mehta, Ewa J. Kleczyk, Karin Hayes
2022 J jnl
CoRR
Michele Bennett, Karin Hayes, Ewa J. Kleczyk, Rajesh Mehta
2022 J jnl
Multim. Tools Appl.
Pramod Kumar Soni, Navin Rajpal, Rajesh Mehta, Vikash Kumar Mishra
2021 J jnl
Int. J. Interact. Multim. Artif. Intell.
Ritu Singh, Navin Rajpal, Rajesh Mehta
2021 J jnl
Int. J. E Health Medical Commun.
Ritu Singh, Navin Rajpal, Rajesh Mehta
2020 J jnl
Multim. Tools Appl.
Rajesh Mehta, Keshav Gupta, Ashok Kumar Yadav
2020 J jnl
EAI Endorsed Trans. Scalable Inf. Syst.
Ritu Singh, Navin Rajpal, Rajesh Mehta
2019 J jnl
Int. J. High Perform. Comput. Netw.
Ritu Singh, Rajesh Mehta, Navin Rajpal
2018 J jnl
J. Intell. Fuzzy Syst.
Jyotsna Yadav, Navin Rajpal, Rajesh Mehta
2018 J jnl
Int. J. Appl. Pattern Recognit.
Jyotsna Yadav, Navin Rajpal, Rajesh Mehta
2018 J jnl
Int. J. Mach. Learn. Cybern.
Rajesh Mehta, Navin Rajpal, Virendra P. Vishwakarma
2017 J jnl
Int. J. Mach. Learn. Cybern.
Rajesh Mehta, Navin Rajpal, Virendra P. Vishwakarma
2016 J jnl
J. Signal Process. Syst.
Rajesh Mehta, Navin Rajpal, Virendra P. Vishwakarma
2016 J jnl
Multim. Tools Appl.
Rajesh Mehta, Navin Rajpal, Virendra P. Vishwakarma
2016 J jnl
Multim. Tools Appl.
Ashok Kumar Yadav, Rajesh Mehta, Raj Kumar, Virendra P. Vishwakarma
2015 J jnl
Int. J. Appl. Pattern Recognit.
Rajesh Mehta, Navin Rajpal, Virendra P. Vishwakarma
2015 conf
IC3
Ashok Kumar Yadav, Rajesh Mehta, Raj Kumar
2013 conf
IC3
Rajesh Mehta, Navin Rajpal
2010 conf
IIH-MSP
Rajesh Mehta, Anurag Mishra, Rampal Singh, Navin Rajpal
redb/extractors/macho_extractors/macho_segments.py
← Index redb/extractors/macho_extractors/macho_segments.py python
import hashlib
import inspect
import base64
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 MachOSegment


class MachOSegmentExtractor(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_segments"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty segments is an ERROR, not a valid empty case.
        A valid MachO file must have segments (at minimum __PAGEZERO, __TEXT).
        """
        # Always return False - empty segments should be treated as an error
        return False

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

    def _extract_segments_for_arch(self, arch_name):
        """Extract segment information for a specific architecture."""
        self.log.debug(f"Extracting segments for architecture: {arch_name}")
        segments = []

        try:
            # Get segments using new API with architecture parameter
            segments_data = self.macho.get_segments(arch=arch_name)
            if not segments_data:
                return segments

            # Extract segments for this architecture
            for segment in segments_data:
                try:
                    segment_name = segment.get('segname', 'Unknown')

                    # Calculate segment hash
                    segment_data = self._get_segment_data(segment)
                    if segment_data:
                        seg_sha256 = hashlib.sha256(segment_data).hexdigest()
                    else:
                        seg_sha256 = ""

                    # Use entropy already calculated by machofile module, rounded to 3 decimal places
                    seg_entropy = round(segment.get('entropy', 0.0), 3)

                    # Create segment dataclass with architecture info
                    macho_segment = MachOSegment(
                        segment_name=segment_name,
                        segment_vaddr=segment.get('vaddr', 0),
                        segment_vsize=segment.get('vsize', 0),
                        segment_offset=segment.get('offset', 0),
                        segment_size=segment.get('size', 0),
                        segment_max_vm_protection=segment.get('max_vm_protection', 0),
                        segment_initial_vm_protection=segment.get('initial_vm_protection', 0),
                        segment_nsects=segment.get('nsects', 0),
                        segment_flags=segment.get('flags', 0),
                        segment_entropy=seg_entropy,
                        segment_sha256=seg_sha256,
                    )
                    # Add architecture info to the segment
                    macho_segment.architecture = arch_name
                    segments.append(macho_segment)

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

            return segments

        except Exception as e:
            self.log.error(f"Error extracting MachO segments for architecture {arch_name}: {e}")
            return segments

    def _extract_segments(self):
        """Extract segment information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        segments = []

        if not self.macho:
            return segments

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

            # Process each architecture
            for arch_name in architectures:
                arch_segments = self._extract_segments_for_arch(arch_name)
                segments.extend(arch_segments)

            return segments

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

    def _get_segment_data(self, segment):
        """Get the raw data for a segment."""
        try:
            offset = segment.get('offset', 0)
            size = segment.get('size', 0)
            
            if size == 0:
                return None
            
            # Read segment data from file
            with open(self.filepath, 'rb') as f:
                f.seek(offset)
                return f.read(size)
                
        except Exception as e:
            self.log.warning(f"Error reading segment data: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            segments = self._extract_segments()
            return segments
        except Exception as e:
            self.log.error(f"Error extracting MachO segments: {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:
                # Extract segments for this specific architecture
                segments = self._extract_segments_for_arch(arch_name)
                if not segments:
                    continue

                # Get architecture-specific sha256 and header info
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)

                    # Get raw architecture value
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    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

                for segment in segments:
                    data.append([
                        arch_sha256,                          # sha256 (architecture-specific)
                        segment.segment_name,                 # segment_name
                        segment.segment_vaddr,                # segment_vaddr
                        segment.segment_vsize,                # segment_vsize
                        segment.segment_offset,               # segment_offset
                        segment.segment_size,                 # segment_size
                        segment.segment_max_vm_protection,    # segment_max_vm_protection
                        segment.segment_initial_vm_protection, # segment_initial_vm_protection
                        segment.segment_nsects,               # segment_nsects
                        segment.segment_flags,                # segment_flags
                        segment.segment_entropy,              # segment_entropy
                        segment.segment_sha256,               # segment_sha256
                        current_time,                         # analysis_date
                    ])

            column_names = [
                'sha256',
                'segment_name', 'segment_vaddr', 'segment_vsize', 'segment_offset',
                'segment_size', 'segment_max_vm_protection', 'segment_initial_vm_protection',
                'segment_nsects', 'segment_flags', 'segment_entropy', 'segment_sha256',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt64', 'UInt64', 'UInt64',
                'UInt64', 'UInt32', 'UInt32',
                'UInt32', 'UInt32', 'Float64', 'FixedString(64)',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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