Olga Duran

36 papers A* 3A 1B 5C 5Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput.
Nataliya Shakhovska, Bohdan Sydor, Solomiia Liaskovska, Olga Duran, Yevgen Martyn, Volodymyr Vira
2025 ed.
SMARTINDUSTRY
Nataliya Shakhovska, Andy T. Augousti, Solomiia Liaskovska, Olga Duran
2024 conf
SMARTINDUSTRY
Solomiia Liaskovska, Vitalii Mil, Olga Duran, Yevgen Martyn, Oleksandr Pshenychny
2024 ed.
SMARTINDUSTRY
Nataliya Shakhovska, Andy T. Augousti, Solomiia Liaskovska, Olga Duran
2023 conf
DCOSS-IoT
Jacob Clark, Gordon Johnson, Olga Duran, Vasileios Argyriou
2022 B conf
Intelligent Environments (Workshops)
Stenford Ruvinga, Gordon Hunter, Jean-Christophe Nebel, Olga Duran
2021 B conf
Intelligent Environments
Stenford Ruvinga, Gordon J. A. Hunter, Olga Duran, Jean-Christophe Nebel
2020 B conf
Intelligent Environments (Workshops)
Sanket Kachole, Gordon J. A. Hunter, Olga Duran
2019 J jnl
Remote. Sens.
Asmau M. Ahmed, Olga Duran, Yahya H. Zweiri, Mike Smith
2018 B conf
Intelligent Environments (Workshops)
Donald Howard, Olga Duran, Gordon J. A. Hunter
2018 conf
WHISPERS
Asmau M. Ahmed, Olga Duran, Yahya H. Zweiri, Mike Smith
2017 J jnl
Remote. Sens.
Asmau M. Ahmed, Olga Duran, Yahya H. Zweiri, Mike Smith
2016 conf
BCS HCI
Gordon J. A. Hunter, Donald Howard, Olga Duran
2016 conf
TAROS
Visakha K. Nanayakkara, Ahmad Ataka, Demetrios T. Venetsanos, Olga Duran, Nikolaos I. Vitzilaios, D. P. Thrishantha Nanayakkara, M. Necip Sahinkaya
2016 B conf
Intelligent Environments
Donald Howard, Gordon J. A. Hunter, Olga Duran, Demetrios T. Venetsanos
2015 conf
ICIRA (3)
Alexander Harman, Olga Duran, Yahya H. Zweiri
2014 J jnl
Pattern Recognit. Lett.
Olga Duran, Maria Petrou
2014 conf
WHISPERS
Olga Duran
2013 C conf
ACE
Payman Shakouri, Olga Duran, Andrzej W. Ordys, Gordana Collier
2012 C conf
IECON
Mohammadreza Motamedi, Farrokh Faramarzi, Olga Duran
2011 conf
WHISPERS
Olga Duran, Maria Petrou
2011 J jnl
IEEE Trans. Geosci. Remote. Sens.
Olga Duran, Maria Petrou
2010 conf
ICCVG (1)
KinYip Chan, Andrzej W. Ordys, Olga Duran
2009 conf
IGARSS (4)
Olga Duran, Efstathios Onasoglou, Maria Petrou
2009 conf
IGARSS (4)
Olga Duran, Maria Petrou
2009 J jnl
IEEE Geosci. Remote. Sens. Lett.
Olga Duran, Maria Petrou
2007 J jnl
IEEE Trans. Geosci. Remote. Sens.
Olga Duran, Maria Petrou
2007 C conf
IGARSS
Olga Duran, Maria Petrou
2007 J jnl
IEEE Trans Autom. Sci. Eng.
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
2006 C conf
IGARSS
Olga Duran, Maria Petrou
2005 C conf
IGARSS
Olga Duran, Maria Petrou
2004 A* conf
ICRA
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
2003 conf
ICIP (3)
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
2003 A* conf
ICRA
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
2002 A* conf
ICRA
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
2002 A conf
IROS
Olga Duran, Kaspar Althoefer, Lakmal D. Seneviratne
redb/extractors/js_extractors/js_deobfuscation.py
← Index redb/extractors/js_extractors/js_deobfuscation.py python
import hashlib
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import PATTERNS

# String literals of 4+ characters; only used by the deobfuscation diff to count
# strings revealed after deobfuscation. Compiled once at module load.
_STRING_LITERAL_4PLUS_RE = re.compile(r"[\"\']([^\"\']{4,})[\"\']")


class JSDeobfuscationExtractor(JSExtractor):
    """Compute pre/post-deobfuscation metrics for a JS sample.

    The actual deobfuscation pass (external tool with jsbeautifier fallback)
    lives on `JSContext.deobfuscated` and is cached per sample, so any other
    extractor that needs the deobfuscated text reads the same value without
    re-running the subprocess. Configure the external tool via env vars:
        JS_DEOBFUSCATOR_PATH    Path or name (default: webcrack)
        JS_DEOBFUSCATE_TIMEOUT  Seconds (default: 60)
    """

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.deobfuscation_result = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, deobfuscator_used = self._context.deobfuscated
        if deobfuscated is None:
            return None

        original_size = len(src)
        original_entropy = self._context.text_entropy
        deobfuscated_size = len(deobfuscated)
        deobfuscated_entropy = self._calculate_text_entropy(deobfuscated)
        size_change_ratio = round(deobfuscated_size / original_size, 4) if original_size else 0.0

        # Strings revealed by deobfuscation: matched literals are extracted from
        # both versions and the set difference is the count of "new" strings.
        original_strings = set(_STRING_LITERAL_4PLUS_RE.findall(src))
        deobfuscated_strings = set(_STRING_LITERAL_4PLUS_RE.findall(deobfuscated))
        new_strings = deobfuscated_strings - original_strings

        # Suspicious APIs revealed by deobfuscation. Both sides of the diff
        # come from JSContext caches: the raw scan is computed once for the
        # whole pipeline; the deobfuscated scan is computed once and reused
        # by JSSuspiciousAPIsExtractor's revealed_by_deobf rows.
        original_apis = {n for n in self._context.scan if n in PATTERNS}
        deobfuscated_apis = set(self._context.scan_deobfuscated)
        new_apis = deobfuscated_apis - original_apis

        deobfuscated_sha256 = hashlib.sha256(deobfuscated.encode('utf-8')).hexdigest()

        self.deobfuscation_result = {
            'deobfuscator_used': deobfuscator_used,
            'deobfuscation_successful': True,
            'original_size': original_size,
            'deobfuscated_size': deobfuscated_size,
            'size_change_ratio': size_change_ratio,
            'original_entropy': original_entropy,
            'deobfuscated_entropy': deobfuscated_entropy,
            'new_strings_found': len(new_strings),
            'new_apis_found': len(new_apis),
            'deobfuscated_sha256': deobfuscated_sha256,
        }
        return self.deobfuscation_result

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.deobfuscation_result:
                return None

            r = self.deobfuscation_result
            current_time = datetime.now(timezone.utc)
            data = [[
                self.sha256,
                r['deobfuscator_used'],
                int(r['deobfuscation_successful']),
                r['original_size'],
                r['deobfuscated_size'],
                r['size_change_ratio'],
                r['original_entropy'],
                r['deobfuscated_entropy'],
                r['new_strings_found'],
                r['new_apis_found'],
                r['deobfuscated_sha256'],
                current_time,
            ]]

            column_names = [
                "sha256", "deobfuscator_used", "deobfuscation_successful",
                "original_size", "deobfuscated_size", "size_change_ratio",
                "original_entropy", "deobfuscated_entropy",
                "new_strings_found", "new_apis_found",
                "deobfuscated_sha256", "analysis_date",
            ]

            column_type_names = [
                "FixedString(64)", "LowCardinality(String)", "UInt8",
                "UInt64", "UInt64", "Float64",
                "Float64", "Float64",
                "UInt32", "UInt32",
                "FixedString(64)", "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

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