Rajiv Ranganathan

18 papers A 1B 3C 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2025 C conf
ACC
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2025 B conf
SMC
Kai Thin, Sneha Ghosh, Kyle Rockwell, Ranjan Mukherjee, Charles Owen, Rajiv Ranganathan
2024 J jnl
Comput. Biol. Medicine
Thomas E. Augenstein, Deepak Nagalla, Alexander Mohacey, Luis H. Cubillos, Mei-Hua Lee, Rajiv Ranganathan, Chandramouli Krishnan
2024 J jnl
CoRR
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2024 J jnl
PLoS Comput. Biol.
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2024 B conf
SMC
Nilay Kant, Ashrut Aryal, Rajiv Ranganathan, Ranjan Mukherjee, Charles B. Owen
2024 J jnl
CoRR
Nilay Kant, Ashrut Aryal, Rajiv Ranganathan, Ranjan Mukherjee, Charles B. Owen
2024 J jnl
IEEE Trans. Haptics
Thomas E. Augenstein, C. David Remy, Edward S. Claflin, Rajiv Ranganathan, Chandramouli Krishnan
2023 J jnl
Comput. Biol. Medicine
Luis H. Cubillos, Thomas E. Augenstein, Rajiv Ranganathan, Chandramouli Krishnan
2022 C conf
ACC
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2022 J jnl
CoRR
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
2021 B conf
ICIP
Matteo Moro, Maura Casadio, Leigh Ann Mrotek, Rajiv Ranganathan, Robert A. Scheidt, Francesca Odone
2017 A conf
IROS
Sheryl Chau, Sanders Aspelund, Ranjan Mukherjee, Mei-Hua Lee, Rajiv Ranganathan, Florian Kagerer
2017 conf
WearSys@MobiSys
Rajiv Ranganathan, Rui Wang, Rani Gebara, Subir Biswas
2016 conf
MobiSys (Companion Volume)
Fazlay Rabbi, Taiwoo Park, Biyi Fang, Mi Zhang, Youngki Lee, Rajiv Ranganathan
2016 J jnl
PLoS Comput. Biol.
Ali Farshchiansadegh, Alejandro Melendez-Calderon, Rajiv Ranganathan, Todd D. Murphey, Ferdinando A. Mussa-Ivaldi
2016 C conf
IPCCC
Henry Griffith, Rajiv Ranganathan, Subir Biswas
redb/extractors/pe_extractor.py
← Index redb/extractors/pe_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect

import magic
import pefile
from dotnetfile import DotNetPE

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class PEExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        pe=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious
        )
        self.pe = pe if pe else self._generate_pefile_object()
        self.dotnet = None

    def _generate_pefile_object(self):
        pe = None
        try:
            pe = pefile.PE(self.filepath)
            if not pe:
                raise pefile.PEFormatError("Empty file?")
        except pefile.PEFormatError as e:
            self.log.error(f"Format error {self.hash.sha256} Full error : {e}")
        return pe

    def _generate_dotnetfile_object(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        dotnet = None
        error = None
        try:
            dotnet = DotNetPE(self.filepath)
            if not dotnet:
                raise Exception("Empty file?")
        except Exception as e:
            self.log.error(
                f"Format error dotnet file {self.hash.sha256} Full error : {e}"
            )
            error = e
        return dotnet, error

    def _check_dotnet(self):
        try:
            file_type = magic.from_buffer(self.binary)
            if ".Net" in file_type:
                return True
            for entry in self.pe.OPTIONAL_HEADER.DATA_DIRECTORY:
                # IMAGE_DIRECTORY_ENTRY_COM_DESCRIPTOR is typically 14
                if (
                    entry.name == "IMAGE_DIRECTORY_ENTRY_COM_DESCRIPTOR"
                    and entry.Size > 0
                ):
                    return True
            return False
        except AttributeError as e:
            self.log.error(
                f"AttributeError error dotnet file {self.hash.sha256} Full error : {e}"
            )
            return False

    def _is_signed(self):
        address = self.pe.OPTIONAL_HEADER.DATA_DIRECTORY[
            pefile.DIRECTORY_ENTRY["IMAGE_DIRECTORY_ENTRY_SECURITY"]
        ].VirtualAddress
        if address == 0:
            return False
        return True

    def _has_overlay(self):
        return bool(self.pe.get_overlay())