Ian A. Wood

17 papers B 2Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2020 conf
Australasian Conference on Artificial Intelligence
Saskia Van Ryt, Marcus Gallagher, Ian A. Wood
2019 J jnl
Evol. Comput.
Sobia Saleem, Marcus Gallagher, Ian A. Wood
2018 conf
PPSN (2)
Sobia Saleem, Marcus Gallagher, Ian A. Wood
2016 J jnl
Neural Comput.
Hien Duy Nguyen, Ian A. Wood
2016 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Hien Duy Nguyen, Ian A. Wood
2016 Misc conf
DICTA
Amy Chan, Ian A. Wood, Jurgen Fripp
2016 J jnl
Comput. Stat. Data Anal.
Hien Duy Nguyen, Geoffrey J. McLachlan, Ian A. Wood
2013 J jnl
Data Knowl. Eng.
Mohammed Gollapalli, Xue Li, Ian A. Wood
2012 J jnl
Comput. Stat. Data Anal.
Adam W. Grace, Ian A. Wood
2012 B conf
IEEE Congress on Evolutionary Computation
Hien Duy Nguyen, Ian A. Wood
2011 conf
ICDM Workshops
Mohammed Gollapalli, Xue Li, Ian A. Wood, Guido Governatori
2011 conf
ADMA (2)
Mohammed Gollapalli, Xue Li, Ian A. Wood, Guido Governatori
2010 J jnl
IEEE Trans. Biomed. Eng.
Suren I. Rathnayake, Ian A. Wood, Udantha R. Abeyratne, Craig Hukins
2007 B conf
IEEE Congress on Evolutionary Computation
Marcus Gallagher, Ian A. Wood, Jonathan M. Keith, George Y. Sofronov
2007 J jnl
Bioinform.
Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen
2003
Ian A. Wood
2002 J jnl
Neural Process. Lett.
Marcus Gallagher, Tom Downs, Ian A. Wood
redb/extractors/basicproperties.py
← Index redb/extractors/basicproperties.py python
from dataclasses import asdict
import inspect
import os
import magic
from magika import Magika
from datetime import datetime, timezone
from typing import Any, List, Tuple

from redb.extractors.enum import Tag
from redb.models.dataclasses import BasicProperties
from redb.extractors.extractor import Extractor


class BasicPropertiesExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        parent_sha256=None,
        precomputed_hashes=None,
        is_fat=None,
        child_sha256=None,
        child_architecture=None,
        child_filetype=None,
        first_seen=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters=exporters,
            index_prefix=index_prefix,
            elastic_index=elastic_index,
            known_benign=known_benign,
            known_malicious=known_malicious,
            precomputed_hashes=precomputed_hashes,
        )
        self.basic_properties = None
        self.elastic_index = self.index_prefix + "-basic_properties"
        self.is_packed = None
        self.parent_sha256 = parent_sha256  # For FAT Mach-O slices, points to container hash
        self.is_fat = is_fat  # True for FAT Mach-O containers, None otherwise
        self.child_sha256 = child_sha256  # SHA256 hashes of children (FAT slices, zip contents)
        self.child_architecture = child_architecture  # Architecture names for FAT Mach-O slices
        self.child_filetype = child_filetype  # Magika filetypes for children (useful for zip archives)
        self.first_seen = first_seen  # From catalog_samples, None for local files

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

    def _extract_basic_properties(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        filename = None  # Reserved for future use
        sample_name = os.path.basename(self.filepath)
        file_entropy = round(self.calculate_entropy(self.binary), 3)
        type_ = magic.from_buffer(self.binary)
        type_mime = magic.from_buffer(self.binary, mime=True)
        type_magika = Magika().identify_bytes(self.binary).output.label
        size = len(self.binary)
        self.basic_properties = BasicProperties(
            filename, sample_name, size, type_, type_mime, type_magika,
            file_entropy, self.is_packed, self.is_fat, self.child_sha256,
            self.child_architecture, self.child_filetype,
            first_seen=str(self.first_seen) if self.first_seen else None,
        )
        self.log.debug(f"Basic Properties dump: {asdict(self.basic_properties)}")

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_basic_properties()
            # self.export_to_elastic([self.basic_properties])
            return self.basic_properties
        except Exception as e:
            self.log.error(f"Extract basic properties error {self.hash.sha256} Exception: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.basic_properties
        elif exporter_type == "ClickHouseExporter":
            data = [[
                self.sha256,
                self.md5,
                self.sha1,
                self.parent_sha256,  # NULL for standalone/FAT, fat_hash for slices
                self.basic_properties.child_sha256 or [],  # SHA256 hashes of children
                self.basic_properties.child_architecture or [],  # Architecture names for FAT slices
                self.basic_properties.child_filetype or [],  # Magika filetypes for children
                self.basic_properties.is_fat,  # True for FAT Mach-O containers, NULL otherwise
                self.basic_properties.filename,
                self.basic_properties.sample_name,
                self.basic_properties.filesize,
                self.basic_properties.file_entropy,
                self.basic_properties.filetype,
                self.basic_properties.filetype_mime,
                self.basic_properties.filetype_magika,
                self.first_seen or datetime(1970, 1, 1, tzinfo=timezone.utc),  # From catalog_samples, epoch zero for local files (uses original datetime, not string)
                datetime.now(timezone.utc)
            ]]

            column_names = [
                'sha256', 'md5', 'sha1', 'parent_sha256', 'child_sha256', 'child_architecture', 'child_filetype',
                'is_fat', 'filename', 'sample_name',
                'filesize', 'file_entropy', 'filetype', 'filetype_mime',
                'filetype_magika', 'first_seen', 'analysis_date'
            ]

            column_type_names = [
                'String', 'String', 'String', 'Nullable(String)',
                'Array(FixedString(64))', 'Array(LowCardinality(String))', 'Array(LowCardinality(String))',
                'Nullable(UInt8)', 'Nullable(String)', 'String',
                'UInt64', 'Float64', 'LowCardinality(String)',
                'LowCardinality(String)', 'LowCardinality(String)',
                'DateTime64(3, \'UTC\')',
                'DateTime64(3, \'UTC\')'
            ]

            return data, column_names, column_type_names

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