Iain D. Wilkinson

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2017 J jnl
NeuroImage
Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden
2015 J jnl
NeuroImage
Philip S. J. Weston, Michael D. Hunter, Dilraj S. Sokhi, Iain D. Wilkinson, Peter W. R. Woodruff
2011 J jnl
NeuroImage
Lourence L. Lewis-Hanna, Michael D. Hunter, Tom F. D. Farrow, Iain D. Wilkinson, Peter W. R. Woodruff
2011 J jnl
NeuroImage
Tom F. D. Farrow, Sarah C. Jones, Catherine J. Kaylor-Hughes, Iain D. Wilkinson, Peter W. R. Woodruff, Michael D. Hunter, Sean A. Spence
2011 J jnl
J. Cogn. Neurosci.
Janine D. Bijsterbosch, Kwang-Hyuk Lee, Michael D. Hunter, Daniel T. Tsoi, Sudheer Lankappa, Iain D. Wilkinson, Anthony T. Barker, Peter W. R. Woodruff
2010 J jnl
NeuroImage
Michael D. Hunter, Simon B. Eickhoff, Robert J. Pheasant, Molly J. Douglas, Greg R. Watts, Tom F. D. Farrow, Declan Hyland, Jian Kang, Iain D. Wilkinson, Kirill V. Horoshenkov, Peter W. R. Woodruff
2008 J jnl
NeuroImage
Sean A. Spence, Catherine J. Kaylor-Hughes, Tom F. D. Farrow, Iain D. Wilkinson
2005 J jnl
NeuroImage
Ganesan Venkatasubramanian, Russell D. Green, Mike D. Hunter, Iain D. Wilkinson, Sean A. Spence
2005 J jnl
NeuroImage
Dilraj S. Sokhi, Michael D. Hunter, Iain D. Wilkinson, Peter W. R. Woodruff
2004 J jnl
IEEE Trans. Medical Imaging
Kuan J. Lee, Nikos G. Papadakis, David C. Barber, Iain D. Wilkinson, Paul D. Griffiths, Martyn Nigel James Paley
2004 J jnl
NeuroImage
Michael D. Hunter, Russell D. Green, Iain D. Wilkinson, Sean A. Spence
2003 J jnl
NeuroImage
Michael D. Hunter, Tom F. D. Farrow, Nikos G. Papadakis, Iain D. Wilkinson, Peter W. R. Woodruff, Sean A. Spence
2002 J jnl
NeuroImage
James V. Stone, J. Porrill, N. R. Porter, Iain D. Wilkinson
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"