Ramkumar Thirunavukarasu

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Mach. Intell.
Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2025 J jnl
Int. J. Intell. Syst.
Vinothiyalakshmi P., Rajganesh Nagarajan, Ramkumar Thirunavukarasu, Arun Pandian J., Evans Kotei
2025 J jnl
Future Internet
Rajganesh Nagarajan, Vinothiyalakshmi P., Ramkumar Thirunavukarasu, Arun Pandian J.
2025 J jnl
Comput.
Venkatesan Thillainayagam, Ramkumar Thirunavukarasu, Arun Pandian J.
2024 J jnl
IEEE Access
Arun Pandian J., Ramkumar Thirunavukarasu, Evans Kotei
2024 J jnl
Comput. Sci. Rev.
Ramkumar Thirunavukarasu, Evans Kotei
2024 J jnl
IEEE Access
Evans Kotei, Ramkumar Thirunavukarasu
2024 J jnl
Multim. Tools Appl.
Evans Kotei, Ramkumar Thirunavukarasu
2023 J jnl
Inf.
Evans Kotei, Ramkumar Thirunavukarasu
2022 J jnl
Multim. Tools Appl.
Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2022 J jnl
Comput. Biol. Medicine
Ramkumar Thirunavukarasu, C. George Priya Doss, Gnanasambandan Ramanathan, Mohanraj Gopikrishnan, Venketesh Palanisamy
2021 J jnl
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Anmol Agrawal, B. K. Tripathy, Ramkumar Thirunavukarasu
2020 J jnl
Inf. Fusion
Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2019 J jnl
Soft Comput.
Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2019 J jnl
J. King Saud Univ. Comput. Inf. Sci.
Venketesh Palanisamy, Ramkumar Thirunavukarasu
2018 J jnl
Int. J. Fuzzy Syst.
Rajganesh Nagarajan, Ramkumar Thirunavukarasu, Selvamuthukumaran Shanmugam
2018 J jnl
CoRR
Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2016 J jnl
J. Comput. Inf. Technol.
Rajganesh Nagarajan, Ramkumar Thirunavukarasu
redb/extractors/pe_extractors/pe_resources.py
← Index redb/extractors/pe_extractors/pe_resources.py python
from hashlib import sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika
import pefile
from pefile import UnicodeStringWrapperPostProcessor

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEResource


class PEResourceExtractor(PEExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        pe=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            pe,
        )
        self.elastic_index = self.index_prefix + "-pe_resources"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_resources(self):
        """
        Returns:
        resources: a list of dictionaries, one per each resources type found.
                    each dictionary the key represents the name of the content,
                    which is the value itself.
                    Empty list if no resources present.
        """
        self.log.debug(inspect.currentframe().f_code.co_name)
        resources_list = []
        try:
            if hasattr(self.pe, "DIRECTORY_ENTRY_RESOURCE"):
                for resource_type in self.pe.DIRECTORY_ENTRY_RESOURCE.entries:
                    # if resource_type.name is not None:
                    #     name = resource_type.name
                    # else:
                    #     name = pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    # if not name:
                    #     name = resource_type.struct.Id
                    name = (
                        resource_type.name
                        if resource_type.name is not None
                        else pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    )
                    if isinstance(name, UnicodeStringWrapperPostProcessor):
                        name = name.decode()
                    try:
                        if hasattr(resource_type, "directory"):
                            for resource_id in resource_type.directory.entries:
                                if hasattr(resource_id, "directory"):
                                    for resource_lang in resource_id.directory.entries:
                                        rsrc_data = self.pe.get_data(
                                            resource_lang.data.struct.OffsetToData,
                                            resource_lang.data.struct.Size,
                                        )
                                        file_type = magic.from_buffer(rsrc_data)
                                        magik = Magika().identify_bytes(rsrc_data).output.label

                                        rsrc_entropy = (
                                            "%.2f"
                                            % pefile.SectionStructure.entropy_H(
                                                self.pe, rsrc_data
                                            )
                                        )
                                        rsrc_sha256 = sha256(rsrc_data).hexdigest()
                                        lang = pefile.LANG.get(
                                            resource_lang.data.lang, "*unknown*"
                                        )
                                        sublang = pefile.get_sublang_name_for_lang(
                                            resource_lang.data.lang,
                                            resource_lang.data.sublang,
                                        )
                                        pe_resource = PEResource(
                                            _id=rsrc_sha256,
                                            resource_type=name,
                                            resource_entropy=rsrc_entropy,
                                            resource_sha256=rsrc_sha256,
                                            resource_filetype=file_type,
                                            resource_magika=magik,
                                            resource_language=lang,
                                            resource_rva=resource_lang.data.struct.OffsetToData,
                                            resource_size=resource_lang.data.struct.Size,
                                            resource_sub_lang=sublang,
                                        )
                                        resources_list.append(pe_resource)
                    except Exception as e:
                        self.log.warning(
                            f"Continue after Error in {self.hash.sha256}: {resource_type.name} "
                            f"Exception: {e}",
                            stack_info=True,
                        )
                        # resources_list.append({f"{e} - {resource_type.name}"})
                        continue
        except Exception as e:
            self.log.exception(
                f"Extract exports error {self.hash.sha256} Exception: {e}"
            )
        self.log.debug(f"Resource list {resources_list}")
        return resources_list

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            resources = self._extract_resources()
            # self.export_to_elastic(resources)  # Let the exporters handle this
            return resources
        except Exception as e:
            self.log.error(f"Extract resources error {self.hash.sha256} Exception: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            resources = self.extract()
            if resources is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for resource in resources:
                data.append([
                    self.sha256,                    # sha256
                    self.md5,                       # md5
                    self.sha1,                      # sha1
                    resource.resource_type,         # resource_type
                    resource.resource_entropy,      # resource_entropy
                    resource.resource_sha256,       # resource_sha256
                    resource.resource_filetype,     # resource_filetype
                    resource.resource_magika,       # resource_magika
                    resource.resource_language,     # resource_language
                    resource.resource_sub_lang,     # resource_sub_lang
                    resource.resource_size,         # resource_size
                    resource.resource_rva,          # resource_rva
                    current_time                    # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'resource_type', 'resource_entropy',
                'resource_sha256', 'resource_filetype', 'resource_magika',
                'resource_language', 'resource_sub_lang', 'resource_size',
                'resource_rva', 'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'LowCardinality(Nullable(String))', 'Float64',
                'FixedString(64)', 'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))',
                'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))', 'UInt64',
                'UInt64', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

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