Wan Zuha Wan Hasan

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Biol. Medicine
Vahideh Ghobadi, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan, Haron Ahmad, Hafiz Rashidi Ramli, Nor Mohd Haziq Norsahperi, Anas Tharek, Fazah Akhtar Hanapiah
2024 J jnl
IEEE Access
Ahmed Fareed Japar, Hafiz Rashidi Ramli, Nor Mohd Haziq Norsahperi, Wan Zuha Wan Hasan
2024 J jnl
IEEE Access
Omar Talal Mahmood, Wan Zuha Wan Hasan, Luthffi Idzhar Ismail, Hafiz Rashidi Ramli, Norhafiz B. Azis, Nor Mohd Haziq Norsahperi
2022 J jnl
IEEE Access
Mokhalad Alghrairi, Nasri Sulaiman, Wan Zuha Wan Hasan, Haslina Jaafar, Saad Mutashar
2022 J jnl
Sensors
Hassan M. Qassim, Wan Zuha Wan Hasan, Hafiz Rashidi Ramli, Hazreen Haizi Harith, Liyana Najwa Inche Mat, Luthffi Idzhar Ismail
2022 J jnl
IEEE Access
Jin Wern Lai, Hafiz Rashidi Ramli, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan
2021 conf
APCCAS
Muhammad Afiq Mohd Rizo, Mohd Amrallah Mustafa, Suhaidi Shafie, Haslina Jaafar, Wan Zuha Wan Hasan, Nasri Sulaiman
2018 J jnl
IEEE Access
Yasmeen Hussein Sabry, Wan Zuha Wan Hasan, Ahmed Haroun Sabry, Mohd Zainal Abidin Ab Kadir, M. A. M. Radzi, Suhaidi Shafie
2018 J jnl
Sensors
Ahmed M. Almassri, Wan Zuha Wan Hasan, Siti Anom Ahmad, Suhaidi Shafie, Chikamune Wada, Keiichi Horio
2017 conf
MIWAI
Ahmed Haroun Sabry, Wan Zuha Wan Hasan, Mohd Zainal Abidin Ab Kadir, M. A. M. Radzi, Suhaidi Shafie
2009 J jnl
IEICE Trans. Electron.
Wan Zuha Wan Hasan, Izhal Abdul Halin, Roslina Mohd Sidek, Masuri Othman
2009 J jnl
IEICE Electron. Express
Mat Isa Masnita, Wan Zuha Wan Hasan, Roslina Mohd Sidek, Izhal Abdul Halin
2009 J jnl
Sensors
Suhaidi Shafie, Shoji Kawahito, Izhal Abdul Halin, Wan Zuha Wan Hasan
2009 J jnl
IEICE Electron. Express
Izhal Abdul Halin, Wan Zuha Wan Hasan, Suhaidi Shafie
redb/extractors/detectiteasy.py
← Index redb/extractors/detectiteasy.py python
import inspect
from pprint import pprint
import subprocess
import json
from typing import Any
from datetime import datetime, timezone
import os
from dotenv import load_dotenv

from redb.extractors.enum import Tag
from redb.models.dataclasses import DIEinfo
from redb.extractors.extractor import Extractor

load_dotenv(override=True)

class DIEExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        precomputed_hashes=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix, elastic_index, known_benign, known_malicious,
            precomputed_hashes=precomputed_hashes
        )
        self.log.debug(inspect.currentframe().f_code.co_name)
        self.die_info = None
        self.die_info_dict = {}
        self.elastic_index = self.index_prefix + "-die"

    def _recursive_entry(self, die_dict, master_key):
        self.log.debug(inspect.currentframe().f_code.co_name)
        if master_key:
            self.die_info_dict[master_key] = {}
        else:
            self.die_info_dict = {}
        for value in die_dict:
            if "type" in value:
                type_key = value["type"].lower().replace(" ", "_")
                name = value.get("name", "")
                version = f"({value.get('version')})" if value.get("version") else ""
                info = f"[{value.get('info')}]" if value.get("info") else ""

                if master_key:
                    self.die_info_dict[master_key][type_key] = f"{name}"
                    self.die_info_dict[master_key][f'{type_key}(full)'] = f"{name}{version}{info}"
                else:
                    self.die_info_dict[type_key] = f"{name}"
                    self.die_info_dict[f'{type_key}(full)'] = f"{name}{version}{info}"

            elif "parentfilepart" in value:
                child_key = (
                    value["parentfilepart"].lower().replace(" ", "_")
                    + "."
                    + value["filetype"].lower().replace(" ", "_")
                )
                if master_key:
                    self._recursive_entry(value["values"], f"{master_key}.{child_key}")
                else:
                    self._recursive_entry(value["values"], f"{child_key}")

    def _extract_dieinfo(self):
        """
        Execute a command-line binary with arguments and parse its JSON output.

        :param command: The command or path to the binary to execute
        :param args: Additional arguments to pass to the command
        :return: Parsed JSON output as a Python object
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        # Construct the full command
        # command = "nfdc" # UNCOMMENT FOR PROD
        # command = "/Users/p4c0/_tools/NFD.app/Contents/MacOS/nfdc" # COMMENT FOR TESTING ON MAC
        command = os.getenv("DIE_PATH")
        args = ["-durj", self.filepath]
        full_command = [command] + list(args)
        TIMEOUT = int(os.getenv("DIE_TIMEOUT", "180"))

        try:
            # Execute the command and capture its output
            result = subprocess.run(
                full_command,
                capture_output=True,
                text=True,
                check=True,
                timeout=TIMEOUT,
            )

            # Parse the JSON output
            nfdc_output = json.loads(result.stdout)

            # Extract the DIE information from the json output
            for die_entry in nfdc_output["detects"]:
                if die_entry["parentfilepart"] == "Header":
                    master_key = (
                        die_entry["parentfilepart"].lower().replace(" ", "_")
                        + "."
                        + die_entry["filetype"].lower().replace(" ", "_")
                    )
                    self._recursive_entry(die_entry["values"], None)

            # pprint(json.dumps(self.die_info_dict, indent=2)) #debug
            self.die_info = DIEinfo(result.stdout, self.die_info_dict)
            self.log.debug(f"NFDC-DIE JSON dump: todo")
        except subprocess.TimeoutExpired:
            self.log.error(f"The DIE command timed out after {TIMEOUT} seconds")
            return None
        except subprocess.CalledProcessError as e:
            self.log.error(f"Error executing DIE command: {e}")
            self.log.error(f"Command output (stderr): {e.stderr}")
            return None
        except json.JSONDecodeError as e:
            self.log.error(f"Error parsing DIE JSON output: {e}")
            self.log.error(f"Raw output: {result.stdout}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.die_info
        elif exporter_type == "ClickHouseExporter":
            # Convert DIE info to JSON string
            die_info_json = json.dumps(self.die_info_dict)
            
            data = [[
                self.sha256,
                self.md5,
                self.sha1,
                die_info_json,
                datetime.now(timezone.utc)
            ]]
            
            column_names = [
                'sha256', 'md5', 'sha1', 'die_info', 'analysis_date'
            ]
            
            column_type_names = [
                'String', 'String', 'String', 'JSON', 'DateTime64(3, \'UTC\')'
            ]
            
            return (data, column_names, column_type_names)

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

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_dieinfo()
            
            # Check if there's a packer in the DIE results
            is_packed = False
            if self.die_info_dict:
                # Check if 'packer' exists in the DIE results
                is_packed = bool(self.die_info_dict.get('packer'))
            
            return self.die_info  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting DIE information: {e}")
            return None

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