Karthikeyan Lingasubramanian

16 papers C 3Misc 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2020 J jnl
PeerJ Comput. Sci.
Varsha Kakkara, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Karthikeyan Lingasubramanian, Senthil Murugan
2019 Misc conf
ICDCN
Karthi Balasubramanian, B. Yamuna, Salija P, Karthikeyan Lingasubramanian, Deepak Mishra
2018 C conf
ICCE
A. R. Aravind, S. R. Kesavaraman, Karthi Balasubramanian, B. Yamuna, Karthikeyan Lingasubramanian
2018 C conf
ICCE
Karthikeyan Lingasubramanian, Ranveer Kumar, Nagendra Babu Gunti, Thomas H. Morris
2017 J jnl
Integr.
Gunti Nagendra Babu, Karthikeyan Lingasubramanian
2017 conf
iNIS
Nagendra Babu Gunti, Karthikeyan Lingasubramanian
2017 conf
iNIS
Nagendra Babu Gunti, Karthikeyan Lingasubramanian
2014 C conf
VLSI-SoC
Gunti Nagendra Babu, Aman Khatri, Karthikeyan Lingasubramanian
2011 J jnl
Microelectron. Reliab.
Karthikeyan Lingasubramanian, Syed M. Alam, Sanjukta Bhanja
2011 conf
PATMOS
Karthikeyan Lingasubramanian, Andrea Calimera, Alberto Macii, Enrico Macii, Massimo Poncino
2009 Misc conf
VLSI Design
Karthikeyan Lingasubramanian, Sanjukta Bhanja
2009 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Thara Rejimon, Karthikeyan Lingasubramanian, Sanjukta Bhanja
2009 J jnl
CoRR
Karthikeyan Lingasubramanian, Syed M. Alam, Sanjukta Bhanja
2007 conf
ACM Great Lakes Symposium on VLSI
Karthikeyan Lingasubramanian, Sanjukta Bhanja
2006 J jnl
ACM Trans. Design Autom. Electr. Syst.
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. Ranganathan
2005 Misc conf
VLSI Design
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. Ranganathan
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