Kailash Joshi

31 papers Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inf. Manag.
Kyootai Lee, Kailash Joshi, Jin-Gyu Kim, JongWeon Kim
2023 conf
AMCIS
Sachin Sharma, Vivek Kumar Singh, Kailash Joshi
2022 conf
HICSS
Vivek Singh, Anshuman Singh, Kailash Joshi
2017 J jnl
Inf. Syst. J.
Kyootai Lee, Kailash Joshi
2014 J jnl
J. Digit. Imaging
Vivek Joshi, Vamsi R. Narra, Kailash Joshi, Kyootai Lee, David Melson
2011 J jnl
Int. J. Inf. Manag.
Kyootai Lee, Aihua Yan, Kailash Joshi
2010 J jnl
J. Organ. Comput. Electron. Commer.
Traci J. Hess, Kailash Joshi, Anna Lazarova McNab
2010 J jnl
J. Organ. Comput. Electron. Commer.
Kyootai Lee, Kailash Joshi, Mueun Bae
2009 conf
AMCIS
Kyootai Lee, Aihua Yan, Kailash Joshi
2008 conf
CPR
Kyootai Lee, Kailash Joshi, Youngkyun Kim, Jooyeoun Lee
2008 J jnl
J. Inf. Technol.
Kailash Joshi, Srikanth Mudigonda
2008 J jnl
Int. J. Inf. Manag.
Kailash Joshi, Somendra Pant
2008 conf
CPR
Kyootai Lee, Kailash Joshi, Youngkyun Kim
2008 J jnl
Inf. Syst. Frontiers
Dinesh A. Mirchandani, Julius H. Johnson Jr., Kailash Joshi
2008 J jnl
Inf. Resour. Manag. J.
Kyootai Lee, Kailash Joshi, Mueun Bae
2007 conf
AMCIS
Traci J. Hess, Kailash Joshi, Anna Lazarova McNab
2007 conf
CPR
Kyootai Lee, Kailash Joshi, Ronan T. McIvor
2006 conf
CPR
Kyootai Lee, Kailash Joshi
2000 J jnl
J. Am. Medical Informatics Assoc.
Thomas W. Lauer, Kailash Joshi, Thomas Browdy
2000 J jnl
Inf. Syst. J.
Kailash Joshi, Arun Rai
1998 J jnl
Inf. Manag.
Kailash Joshi, Thomas W. Lauer
1995 J jnl
Inf. Manag.
Anthony C. Nelson, Kailash Joshi
1992 J jnl
Inf. Manag.
Kailash Joshi
1992 conf
SIGCPR
Anthony C. Nelson, Kailash Joshi
1992 J jnl
Data Base
Kailash Joshi
1991 conf
SIGCPR
Kailash Joshi
1991 J jnl
Inf. Manag.
Kailash Joshi, Vicki L. Sauter
1990 J jnl
MIS Q.
Kailash Joshi
1990 J jnl
Inf. Manag.
Kailash Joshi
1989 J jnl
MIS Q.
Kailash Joshi
1986 conf
SIGCPR
Kailash Joshi, William C. Perkins, Robert P. Bostrom
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