Rajan Udwani

38 papers A* 10B 2Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
IPCO
Suho Kang, Ziyang Liu, Rajan Udwani
2025 J jnl
CoRR
Suho Kang, Ziyang Liu, Rajan Udwani
2025 A* conf
EC
Shuo Sun, Rajan Udwani, Zuo-Jun Max Shen
2025 J jnl
Manag. Sci.
Rajan Udwani
2025 J jnl
Oper. Res.
Vineet Goyal, Garud Iyengar, Rajan Udwani
2025 A* conf
EC
Rajan Udwani
2024 J jnl
CoRR
Shuo Sun, Rajan Udwani, Zuo-Jun Max Shen
2024 J jnl
CoRR
Thorben Tröbst, Rajan Udwani
2024 J jnl
Oper. Res. Lett.
Thorben Tröbst, Rajan Udwani
2024 J jnl
Math. Oper. Res.
Steven Delong, Alireza Farhadi, Rad Niazadeh, Balasubramanian Sivan, Rajan Udwani
2024 J jnl
CoRR
Rajan Udwani
2024 conf
SOSA
Rajan Udwani
2023 A* conf
EC
Rajan Udwani
2023 A* conf
NeurIPS
Hyun-Jun Choi, Rajan Udwani, Min-hwan Oh
2023 J jnl
Oper. Res.
Vineet Goyal, Rajan Udwani
2023 J jnl
CoRR
Omar El Housni, Rajan Udwani
2023 A* conf
ICML
Rajan Udwani
2023 J jnl
Oper. Res. Lett.
Selena Li, Rajan Udwani
2023 J jnl
CoRR
Rajan Udwani
2022 J jnl
Manag. Sci.
Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang
2022 A* conf
EC
Rajan Udwani
2021 J jnl
CoRR
Rajan Udwani
2021 conf
WINE
Vineet Goyal, Garud Iyengar, Rajan Udwani
2021 J jnl
INFORMS J. Optim.
Rajan Udwani
2021 J jnl
CoRR
Rajan Udwani
2021 J jnl
CoRR
Rajan Udwani
2020 J jnl
CoRR
Vineet Goyal, Garud Iyengar, Rajan Udwani
2020 J jnl
CoRR
Vineet Goyal, Garud Iyengar, Rajan Udwani
2020 A* conf
EC
Vineet Goyal, Rajan Udwani
2019 J jnl
CoRR
Vineet Goyal, Rajan Udwani
2019 conf
APPROX-RANDOM
Andreas S. Schulz, Rajan Udwani
2018 A* conf
NeurIPS
Rajan Udwani
2018 J jnl
Math. Program.
James B. Orlin, Andreas S. Schulz, Rajan Udwani
2017 J jnl
CoRR
Rajan Udwani
2016 B conf
IPCO
James B. Orlin, Andreas S. Schulz, Rajan Udwani
2015 A* conf
PODC
Mohsen Ghaffari, Rajan Udwani
2015 J jnl
CoRR
James B. Orlin, Andreas S. Schulz, Rajan Udwani
2013 A* conf
INFOCOM
Siddhant Agrawal, Prasanna Chaporkar, Rajan Udwani
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())