Wasifa Jamal

12 papers Misc 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Frontiers Comput. Neurosci.
Tahnia Nazneen, Iffath Binta Islam, Md. Sakibur Rahman Sajal, Wasifa Jamal, M. Ashraful Amin, Ravi Vaidyanathan, Tom Chau, Khondaker Abdullah Al Mamun
2019 conf
CinC
Lara Cavinato, Annie Cardinaux, Wasifa Jamal, Margaret Kjelgaard, P. Sinha, Riccardo Barbieri
2019 conf
EMBC
Lara Cavinato, Annie Cardinaux, Kriti Jain, Wasifa Jamal, Margaret Kjelgaard, Pawan Sinha, Riccardo Barbieri
2018 J jnl
CoRR
Valentina Bono, Saptarshi Das, Wasifa Jamal, Koushik Maharatna
2018 J jnl
IEEE Trans. Cogn. Dev. Syst.
Bogdan Alexandru Cociu, Saptarshi Das, Lucia Billeci, Wasifa Jamal, Koushik Maharatna, Sara Calderoni, Antonio Narzisi, Filippo Muratori
2016 J jnl
CoRR
Wasifa Jamal, Saptarshi Das, Koushik Maharatna, Fabio Apicella, Georgia Chronaki, Federico Sicca, David Cohen, Filippo Muratori
2015
Wasifa Jamal
2015 J jnl
IEEE Signal Process. Lett.
Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu, Koushik Maharatna
2014 Misc conf
ICASSP
Valentina Bono, Wasifa Jamal, Saptarshi Das, Koushik Maharatna
2014 J jnl
CoRR
Valentina Bono, Wasifa Jamal, Saptarshi Das, Koushik Maharatna
2014 J jnl
CoRR
Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu, Koushik Maharatna, Fabio Apicella, Federico Sicca
2013 conf
EMBC
Wasifa Jamal, Saptarshi Das, Koushik Maharatna
redb/extractors/pe_extractors/pe_sections.py
← Index redb/extractors/pe_extractors/pe_sections.py python
import base64
import hashlib
import inspect
from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PESection
from datetime import datetime, timezone
from typing import Any


class PESectionExtractor(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_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_sections(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        sections = []
        for section in self.pe.sections:
            try:
                name = self.process_binary_string(section.Name)
            except Exception as e:
                name = "UnableToDecode"
                self.log.warning(
                    f'Unable to store section Name "{section.Name}" for {self.hash.sha256}'
                    f" exception {e}"
                )
            sec_sha256 = section.get_hash_sha256()
            sec_md5 = section.get_hash_md5()
            # sec_entropy = "%.2f" % section.get_entropy()
            sec_entropy = section.get_entropy()
            pe_section = PESection(
                _id=hashlib.sha256(
                    name.encode()
                ).hexdigest(),  # usecase 8e035beb02a411f8a9e92d4cf184ad34f52bbd0a81a50c222cdd4706e4e45104, all section have same sha256
                section_name=name,
                section_name_b64=base64.b64encode(
                    section.Name.rstrip(b'\x00')
                ).decode(),  # base64.b64decode(b64) to decode
                section_v_addr=section.VirtualAddress,
                section_v_addr_hex=hex(section.VirtualAddress),
                section_v_size=section.Misc_VirtualSize,
                section_size=section.SizeOfRawData,
                section_pointer_to_raw_data=hex(section.PointerToRawData),
                section_md5=sec_md5,
                section_sha256=sec_sha256,
                section_entropy=sec_entropy,
            )
            sections.append(pe_section)
        return sections

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

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            sections = self.extract()
            if sections is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for section in sections:
                data.append([
                    self.sha256,                          # sha256
                    self.md5,                             # md5
                    self.sha1,                            # sha1
                    section.section_name,                 # section_name
                    section.section_name_b64,             # section_name_b64
                    section.section_entropy,              # section_entropy
                    section.section_sha256,               # section_sha256
                    section.section_md5,                  # section_md5
                    section.section_size,                 # section_size
                    section.section_v_addr,               # section_v_addr
                    section.section_v_size,               # section_v_size
                    int(section.section_pointer_to_raw_data, 16),  # section_pointer_to_raw_data - convert from hex
                    current_time                          # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'section_name', 'section_name_b64',
                'section_entropy', 'section_sha256', 'section_md5', 'section_size',
                'section_v_addr', 'section_v_size', 'section_pointer_to_raw_data',
                'analysis_date'
            ]
            
            if not data:
                return None

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

            return (data, column_names, column_type_names)

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