Hamza Abu Owida

15 papers Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 conf
FICC (2)
Ali Mohd Ali, Ahmad Al-Qerem, Hamza Abu Owida
2025 J jnl
Int. J. Biomed. Imaging
Ashraf Al Sharah, Hamza Abu Owida, Tareq A. Alawneh, Anas Quteishat, Suhaila Abuowaida, Nawaf Alshdaifat, Mutsam M. Jarajreh
2025 J jnl
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Mohammad R. Hassan, Feras Alnaimat, Hamza Abu Owida, Qasem Kharma, Ali Mohd Ali, Raheel Ahmad, Mohammad Alhaj
2025 conf
ICECET
Ali Mohd Ali, Ahmad Al-Qerem, Hamza Abu Owida
2025 J jnl
IEEE Access
Omar Khair Alla Alidmat, Hamza Abu Owida, Umi Kalsom Yusof, Ahmed Almaghthawi, Askar Altalidi, Rami S. Alkhawaldeh, Suhaila Abuowaida, Nawaf Alshdaifat, Jamil Alshaqsi
2025 J jnl
Comput. Mater. Continua
Suhaila Abuowaida, Hamza Abu Owida, Deema Mohammed Alsekait, Nawaf Alshdaifat, Diaa Salama Abdelminaam, Mohammad Alshinwan
2024 J jnl
Int. J. Interact. Mob. Technol.
Ashraf Al Sharah, Yousef Abu Alrub, Hamza Abu Owida, Esraa Abu Elsoud, Nawaf Alshdaifat, Hamzah Khtatnaha
2024 J jnl
Future Internet
Zaher Salah, Hamza Abu Owida, Esraa Abu Elsoud, Esraa Alhenawi, Suhaila Abuowaida, Nawaf Alshdaifat
2023 J jnl
Sensors
Jamal I. Al-Nabulsi, Nidal M. Turab, Hamza Abu Owida, Bassam Al-Naami, Roberto de Fazio, Paolo Visconti
2023 J jnl
Int. J. Online Biomed. Eng.
Hamza Abu Owida, Muhammad Al-Ayyad, Nidal M. Turab, Jamal I. Al-Nabulsi
2023 J jnl
J. Imaging
Bassam Al-Naami, Bashar E. A. Badr, Yahia Z. Rawash, Hamza Abu Owida, Roberto de Fazio, Paolo Visconti
2023 J jnl
Int. J. Online Biomed. Eng.
Hamza Abu Owida, Bashar Al-haj Moh'd, Nedal Turab, Jamal I. Al-Nabulsi, Suhaila Abuowaida
2022 conf
MENACOMM
Ashraf Al Sharah, Hamza Abu Owida, Talal A. Edwan
2022 J jnl
Comput.
Bassam Al-Naami, Hossam Fraihat, Hamza Abu Owida, Khalid Al-Hamad, Roberto de Fazio, Paolo Visconti
2022 J jnl
Comput. Syst. Sci. Eng.
Nidal M. Turab, Hamza Abu Owida, Jamal I. Al-Nabulsi, Mwaffaq Abu-Alhaija
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