Mahmood Shafiee

30 papers Journal 25Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Expert Syst. Appl.
Sobhan Jooybar, Ezzatollah Asgharizadeh, Mostafa Zandieh, Mohammad Ali Zare-Shourijeh, Mahmood Shafiee
2025 J jnl
IEEE Access
Pooya Sajjadi, Fateme Dinmohammadi, Mahmood Shafiee
2023 J jnl
Sensors
Jenna Seetohul, Mahmood Shafiee, Konstantinos Sirlantzis
2023 conf
ICAC
Fateme Dinmohammadi, Jackson Karama, Mahmood Shafiee
2022 J jnl
Comput. Ind. Eng.
Sunday Ochella, Mahmood Shafiee, Chris Sansom
2022 J jnl
Eng. Appl. Artif. Intell.
Sunday Ochella, Mahmood Shafiee, Fateme Dinmohammadi
2022 conf
MICAD
Jenna Seetohul, Mahmood Shafiee, Konstantinos Sirlantzis
2022 conf
ICAC
Alex Marnell, Mahmood Shafiee, Amir Hosein Sakhaei
2022 J jnl
Auton. Intell. Syst.
Michael O. Macaulay, Mahmood Shafiee
2022 J jnl
Robotics
Jenna Seetohul, Mahmood Shafiee
2021 J jnl
IEEE Trans. Ind. Electron.
Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee
2021 J jnl
Expert Syst. Appl.
Sunday Ochella, Mahmood Shafiee, Chris Sansom
2021 conf
ICAC
Sunday Ochella, Mahmood Shafiee, Chris Sansom
2021 J jnl
Robotics
Mahmood Shafiee, Zeyu Zhou, Luyao Mei, Fateme Dinmohammadi, Jackson Karama, David Flynn
2020 J jnl
Comput. Ind. Eng.
Mahdieh Rezaei, Mohsen Afsahi, Mahmood Shafiee, Michael Patriksson
2020 J jnl
Reliab. Eng. Syst. Saf.
Mohsen Afsahi, Mahmood Shafiee
2020 J jnl
Reliab. Eng. Syst. Saf.
Tosin Adedipe, Mahmood Shafiee, Enrico Zio
2019 J jnl
Reliab. Eng. Syst. Saf.
Mahmood Shafiee, John Dalsgaard Sørensen
2019 J jnl
Comput. Chem. Eng.
Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee
2019 conf
ICAC
Karl Ezra S. Pilario, Yi Cao, Mahmood Shafiee, Liyun Lao
2018 J jnl
Sensors
Muntazir Abbas, Mahmood Shafiee
2016 J jnl
IEEE Trans. Reliab.
Maxim Finkelstein, Mahmood Shafiee, Anselme N. Kotchap
2015 J jnl
Expert Syst. Appl.
Mahmood Shafiee
2015 J jnl
Reliab. Eng. Syst. Saf.
Mahmood Shafiee, Maxim Finkelstein, Christophe Bérenguer
2015 J jnl
Reliab. Eng. Syst. Saf.
Mahmood Shafiee, Maxim Finkelstein
2013 J jnl
Adv. Oper. Res.
Mahmood Shafiee, Michael Patriksson, Ann-Brith Strömberg
2013 J jnl
Eur. J. Oper. Res.
Mahmood Shafiee, Stefanka S. Chukova
2012 J jnl
CoRR
Mahmood Shafiee, Golriz Amooee, Yaghoub Farjami
2012 J jnl
Asia Pac. J. Oper. Res.
Mahmood Shafiee, Stefanka S. Chukova, Maxim Finkelstein
2011 J jnl
Reliab. Eng. Syst. Saf.
Mahmood Shafiee, Maxim Finkelstein, Stefanka S. Chukova
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