K. Ashoka Reddy

17 papers Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
New Gener. Comput.
K. Venu Madhav, E. Hari Krishna, K. Ashoka Reddy
2023 conf
I2MTC
Krishna Sundeep Basavaraju, T. Kishore Kumar, K. Ashoka Reddy, K. Ram Kumar Reddy
2021 conf
I2MTC
B. Venumaheswar Rao, K. Ashoka Reddy
2018 J jnl
Wirel. Pers. Commun.
E. Hari Krishna, Kosaraju Sivani, K. Ashoka Reddy
2013 conf
ICACCI
V. Sharmila, E. Hari Krishna, K. Ashoka Reddy
2013 J jnl
IEEE Trans. Instrum. Meas.
M. Raghuram, K. Venu Madhav, E. Hari Krishna, Nagarjuna Reddy Komalla, Kosaraju Sivani, K. Ashoka Reddy
2013 J jnl
IEEE Trans. Instrum. Meas.
K. Venu Madhav, M. Raghuram, E. Hari Krishna, Nagarjuna Reddy Komalla, K. Ashoka Reddy
2012 J jnl
IEEE Trans. Instrum. Meas.
M. Raghuram, K. Venu Madhav, E. Hari Krishna, Nagarjuna Reddy Komalla, K. Ashoka Reddy
2012 conf
MeMeA
M. Raghuram, K. Venu Madhav, E. Hari Krishna, Nagarjuna Reddy Komalla, Kosaraju Sivani, K. Ashoka Reddy
2012 conf
MeMeA
K. Venu Madhav, M. Raghuram, E. Hari Krishna, Nagarjuna Reddy Komalla, K. Ashoka Reddy
2012 conf
MeMeA
K. Sharmila, E. Hari Krishna, Nagarjuna Reddy Komalla, K. Ashoka Reddy
2011 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Saroj Maity, C. Patnaik, Jai Singh Parihar, Sushma Panigrahy, K. Ashoka Reddy
2010 conf
ISSPA
K. Venu Madhav, M. Raghuram, E. Hari Krishna, K. Ashoka Reddy
2010 conf
ISSPA
E. Hari Krishna, M. Raghuram, K. Venu Madhav, K. Ashoka Reddy
2010 conf
ISSPA
M. Raghuram, K. Venu Madhav, E. Hari Krishna, K. Ashoka Reddy
2009 J jnl
IEEE Trans. Instrum. Meas.
K. Ashoka Reddy, Boby George, N. Madhu Mohan, V. Jagadeesh Kumar
2009 J jnl
IEEE Trans. Instrum. Meas.
K. Ashoka Reddy, Boby George, V. Jagadeesh Kumar
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