Rafael Arrais

13 papers A 1C 5Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2022 C conf
INDIN
Pedro Melo, Rafael Arrais, Sérgio Teixeira, Germano Veiga
2022 C conf
ISM
Sérgio Teixeira, Rafael Arrais, Rui Dias, Germano Veiga
2022
Rafael Arrais
2021 C conf
INDIN
Sérgio Teixeira, Rafael Arrais, Germano Veiga
2021 C conf
INDIN
Pedro Melo, Rafael Arrais, Germano Veiga
2021 J jnl
Robotics Comput. Integr. Manuf.
João Pedro Carvalho de Souza, Carlos M. Costa, Luís Freitas Rocha, Rafael Arrais, A. Paulo Moreira, E. J. Solteiro Pires, José Boaventura Cunha
2020 J jnl
Sensors
João Santos, Miguel Oliveira, Rafael Arrais, Germano Veiga
2019 conf
EPIA (2)
Rafael Arrais, Germano Veiga, Tiago Trindade Ribeiro, Daniel Oliveira, Ramon O. Fernandes, André Gustavo S. Conceição, P. C. M. A. Farias
2019 conf
ROBOT (1)
Tiago Neto, Rafael Arrais, Armando Sousa, André Santos, Germano Veiga
2018 C conf
INDIN
Tiago Pinto, Rafael Arrais, Germano Veiga
2017 conf
ROBOT (2)
César Toscano, Rafael Arrais, Germano Veiga
2017 A conf
IROS
André Santos, Alcino Cunha, Nuno Macedo, Rafael Arrais, Filipe Neves dos Santos
2016 conf
ICIAR
Rafael Arrais, Miguel Oliveira, Cesar Toscano, Germano Veiga
redb/extractors/pe_extractors/pe_overlay.py
← Index redb/extractors/pe_extractors/pe_overlay.py python
from hashlib import md5, sha1, sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEOverlay


class PEOverlayExtractor(PEExtractor):

    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,
            pe,
        )
        self.elastic_index = self.index_prefix + "-pe_overlay"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.PE_OVERLAY.value

    def _extract_pe_overlay(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        overlay = self.pe.get_overlay()
        if overlay:
            return PEOverlay(
                _id=sha256(overlay).hexdigest(),
                overlay_size=len(overlay),
                overlay_entropy=self.calculate_entropy(overlay),
                overlay_offset=self.pe.get_overlay_data_start_offset(),
                overlay_mimetype=magic.from_buffer(overlay, mime=True),
                overlay_type=magic.from_buffer(overlay),
                overlay_magika=Magika().identify_bytes(overlay).output.ct_label,
                overlay_sha256=sha256(overlay).hexdigest(),
                overlay_sha1=sha1(overlay).hexdigest(),
                overlay_md5=md5(overlay).hexdigest(),
            )
        return None

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            overlay = self._extract_pe_overlay()
            # self.export_to_elastic([overlay])  # Let the exporters handle this
            return overlay
        except Exception as e:
            self.log.error(f"Error extracting PE overlay: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            overlay = self.extract()
            if overlay is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            data.append([
                self.sha256,              # sha256
                self.md5,                 # md5
                self.sha1,                # sha1
                overlay.overlay_size,     # overlay_size
                overlay.overlay_entropy,  # overlay_entropy
                overlay.overlay_offset,   # overlay_offset
                overlay.overlay_mimetype, # overlay_mimetype
                overlay.overlay_type,     # overlay_type
                overlay.overlay_magika,   # overlay_magika
                overlay.overlay_sha256,   # overlay_sha256
                overlay.overlay_sha1,     # overlay_sha1
                overlay.overlay_md5,      # overlay_md5
                current_time             # analysis_date
            ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'overlay_size', 'overlay_entropy',
                'overlay_offset', 'overlay_mimetype', 'overlay_type', 'overlay_magika',
                'overlay_sha256', 'overlay_sha1', 'overlay_md5',
                'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'UInt64', 'Float64', 'UInt64',
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(String)',
                'FixedString(64)', 'FixedString(40)', 'FixedString(32)',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_pe_overlays"