Mahmut Karakaya

36 papers B 3Misc 3Journal 9Unranked 21
YearRankTypeTitle / Venue / Authors
2025 conf
BIOSIG
Jitendra Sai Kota, Mahmut Karakaya
2025 conf
IWBF
Mahmut Karakaya
2024 conf
ACM Southeast Regional Conference
Daniel Tebor, Eli Headley, Mahmut Karakaya
2024 J jnl
J. Electronic Imaging
Jitendra Sai Kota, Mahmut Karakaya
2023 conf
ICMVA
Duleep Rathgamage Don, Ramazan Aygun, Mahmut Karakaya
2023 B conf
IJCB
Jitendra Sai Kota, Mahmut Karakaya
2023 Misc conf
ICASSP
Mahmut Karakaya, Ramazan Savas Aygün
2022 conf
EMBC
Mahmut Karakaya, Ramazan S. Aygün, Ahmed B. Sallam
2022 Misc conf
ICASSP
Ehsaneddin Jalilian, Georg Wimmer, Andreas Uhl, Mahmut Karakaya
2022 Misc conf
IRI
Adeyemi Fagbemi, Ramazan Aygun, Mahmut Karakaya, Nesrin Sahin
2021 J jnl
IET Biom.
Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl
2021 conf
IWBF
Mahmut Karakaya
2020 J jnl
BMC Bioinform.
Mahmut Karakaya, Recep E. Hacisoftaoglu
2020 J jnl
Pattern Recognit. Lett.
Recep E. Hacisoftaoglu, Mahmut Karakaya, Ahmed B. Sallam
2020 conf
BIOSIG
Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl
2019 J jnl
J. Electronic Imaging
Mahmut Karakaya, Elif Tuba Celik
2019 conf
BTAS
Ehsaneddin Jalilian, Andreas Uhl, Mahmut Karakaya
2018 conf
BTAS
Mahmut Karakaya
2016 J jnl
Pattern Recognit. Lett.
Mahmut Karakaya
2016 conf
BIOSIG
Elif Tuba Celik, Mahmut Karakaya
2015 conf
SIU
Gamze Nur Cerme, Mahmut Karakaya
2015 conf
BTAS
Osman M. Kurtuncu, Mahmut Karakaya
2014 J jnl
ACM Trans. Sens. Networks
Mahmut Karakaya, Hairong Qi
2014 conf
Image Processing: Machine Vision Applications
Mahmut Karakaya, David S. Bolme, Chris Boehnen
2014 conf
CIBIM
Tao Yang, Joachim Stahl, Stephanie Schuckers, Fang Hua, Chris Boehnen, Mahmut Karakaya
2013 conf
Image Processing: Machine Vision Applications
Mahmut Karakaya, Del R. Barstow, Hector J. Santos-Villalobos, Christopher Boehnen
2013 conf
ICB
Mahmut Karakaya, Del R. Barstow, Hector J. Santos-Villalobos, Josef Thompson
2013 conf
BTAS
Joseph Thompson, Hector J. Santos-Villalobos, Mahmut Karakaya, Del R. Barstow, David S. Bolme, Chris Boehnen
2012 conf
EMBC
Mahmut Karakaya, Ryan A. Kerekes, Jennifer Lynn Morrell-Falvey, Carmen M. Foster, Scott T. Retterer
2012 B conf
DCOSS
Mahmut Karakaya, Hairong Qi
2012 J jnl
ACM Trans. Sens. Networks
Mahmut Karakaya, Hairong Qi
2012 conf
BTAS
Hector J. Santos-Villalobos, Del R. Barstow, Mahmut Karakaya, Chris Boehnen, Edward Chaum
2011 B conf
Image Processing
Mahmut Karakaya, Ryan A. Kerekes, Shaun S. Gleason, Rodrigo A. P. Martins, Michael A. Dyer
2011 J jnl
Ad Hoc Networks
Mahmut Karakaya, Hairong Qi
2010 conf
ICDSC
Mahmut Karakaya, Hairong Qi
2009 conf
ICDSC
Mahmut Karakaya, Hairong Qi
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