Isao Nambu

38 papers B 9Journal 11Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Quang Pham Lam Dinh, Isao Nambu
2025 J jnl
IEEE Access
Quang Pham Lam Dinh, Isao Nambu
2024 B conf
COMPSAC
Eduardo Carabez, Takanori Sato, Isao Nambu
2023 J jnl
IEEE Access
Kento Suemitsu, Isao Nambu
2023 J jnl
CoRR
Tatsuki Kobayashi, Yoshiko Maruyama, Isao Nambu, Shohei Yano, Yasuhiro Wada
2022 J jnl
CoRR
Masaki Yasuhara, Isao Nambu, Yoshiko Maruyama, Shohei Yano
2022 J jnl
Sensors
Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada
2021 conf
EMBC
Daiki Nishiura, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada
2021 conf
EMBC
Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada
2020 conf
EMBC
Taichi Tanaka, Isao Nambu, Yasuhiro Wada
2020 conf
ICONIP (3)
Yuki Kokai, Isao Nambu, Yasuhiro Wada
2020 conf
ICONIP (5)
Kenshi Machida, Isao Nambu, Yasuhiro Wada
2020 conf
EMBC
Tsubasa Sano, Misaki Takeda, Isao Nambu, Yasuhiro Wada
2019 conf
EMBC
Naoki Fukuda, Isao Nambu, Yasuhiro Wada
2019 conf
NER
Tomoyuki Nagasawa, Takanori Sato, Isao Nambu, Yasuhiro Wada
2018 J jnl
NeuroImage
Satoshi Hirose, Isao Nambu, Eiichi Naito
2018 conf
ICONIP (7)
Yuki Onodera, Isao Nambu, Yasuhiro Wada
2018 conf
ICONIP (7)
Tomoki Semoto, Isao Nambu, Yasuhiro Wada
2017 B conf
SMC
Miho Sugi, Isao Nambu, Yasuhiro Wada
2017 J jnl
Comput. Intell. Neurosci.
Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
2017 J jnl
IEICE Trans. Inf. Syst.
Isao Nambu, Takahiro Imai, Shota Saito, Takanori Sato, Yasuhiro Wada
2017 conf
ICONIP (6)
Hiroshi Yokoyama, Rie Kurai, Isao Nambu, Yasuhiro Wada
2017 B conf
SMC
Misaki Takeda, Isao Nambu, Yasuhiro Wada
2017 B conf
SMC
Tetsuro Hayashi, Hiroshi Yokoyama, Isao Nambu, Yasuhiro Wada
2017 conf
ICONIP (4)
Yuta Oda, Takanori Sato, Isao Nambu, Yasuhiro Wada
2017 B conf
SMC
Satoshi Kojima, Misaki Takeda, Isao Nambu, Yasuhiro Wada
2017 B conf
SMC
Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
2016 J jnl
NeuroImage
Takanori Sato, Isao Nambu, Kotaro Takeda, Takatsugu Aihara, Okito Yamashita, Yuko Isogaya, Yoshihiro Inoue, Yohei Otaka, Yasuhiro Wada, Mitsuo Kawato, Masa-aki Sato, Rieko Osu
2016 B conf
SMC
Hiep Vu Nguyen Sy, Isao Nambu, Yasuhiro Wada
2015 conf
EMBC
Toshiki Kusano, Hiroki Kurashige, Isao Nambu, Yoshiya Moriguchi, Takashi Hanakawa, Yasuhiro Wada, Rieko Osu
2014 conf
EMBC
Shota Yamane, Isao Nambu, Yasuhiro Wada
2014 conf
EMBC
Hiroshi Yokoyama, Isao Nambu, Jun Izawa, Yasuhiro Wada
2013 B conf
SMC
Manabu Washizu, Shuhei Morioka, Isao Nambu, Shohei Yano, Haruhide Hokari, Yasuhiro Wada
2013 B conf
SMC
Alejandro González, Isao Nambu, Haruhide Hokari, Masahiro Iwahashi, Yasuhiro Wada
2012 conf
ICONIP (4)
Shuhei Morioka, Isao Nambu, Shohei Yano, Haruhide Hokari, Yasuhiro Wada
2012 conf
ICONIP (1)
Takahiro Imai, Takanori Sato, Isao Nambu, Yasuhiro Wada
2012 conf
EMBC
Takanori Sato, Yasuyuki Muto, Isao Nambu, Yasuhiro Wada
2009 J jnl
NeuroImage
Isao Nambu, Rieko Osu, Masa-aki Sato, Soichi Ando, Mitsuo Kawato, Eiichi Naito
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())