Olgerta Tona

34 papers C 1Journal 14Unranked 19
YearRankTypeTitle / Venue / Authors
2026 conf
HICSS
Jake Morrill, Ida Asadi Someh, Tapani Rinta-Kahila, Stefan Jooss, Olgerta Tona, Nick van der Meulen
2025 J jnl
Scand. J. Inf. Syst.
Elena Parmiggiani, Olgerta Tona, Louise Harder Fischer, Jonna Järveläinen
2025 J jnl
Scand. J. Inf. Syst.
Elena Parmiggiani, Olgerta Tona, Louise Fischer, Jonna Järveläinen
2025 J jnl
Commun. Assoc. Inf. Syst.
Tina Blegind Jensen, Olgerta Tona, Kai R. Larsen, Dorothy E. Leidner, Mari-Klara Stein, Edgar A. Whitley
2025 J jnl
Inf. Syst. J.
Olgerta Tona, Dorothy E. Leidner, Nick van der Meulen, Barbara Wixom, Juliana Nunes, Doug Shagam
2024 conf
ECIS
Tina Blegind Jensen, Olgerta Tona, Kai R. Larsen, Dorothy E. Leidner, Mari-Klara Stein, Edgar A. Whitley
2024 J jnl
Commun. Assoc. Inf. Syst.
Dina Koutsikouri, Lena Hylving, Marigo Raftopoulos, Ojelanki K. Ngwenyama, Frantz Rowe, Olgerta Tona
2024 J jnl
Scand. J. Inf. Syst.
Olgerta Tona
2023 conf
HICSS
Ameera Darwish, Juho Lindman, Jesper Hjertqvist, Olgerta Tona
2023 conf
ECIS
Lena Hylving, Dina Koutsikouri, Ojelanki K. Ngwenyama, Marigo Raftopoulos, Frantz Rowe, Olgerta Tona
2023 C conf
ICIS
Daniel Curto-Millet, Olgerta Tona
2023 conf
HICSS
Olgerta Tona, Yixin Zhang, Aleksandre Asatiani, Juho Lindman
2023 J jnl
Scand. J. Inf. Syst.
Sune Dueholm Müller, Katrin Jonsson, Henri Pirkkalainen, Elena Parmiggiani, Olgerta Tona
2021 J jnl
J. Assoc. Inf. Syst.
Dorothy E. Leidner, Olgerta Tona
2021 J jnl
MIS Q.
Dorothy E. Leidner, Olgerta Tona
2020 conf
HICSS
Imad Bani Hani, Olgerta Tona, Sven A. Carlsson
2019 conf
AMCIS
Imad Bani Hani, Olgerta Tona, Sven A. Carlsson
2018 J jnl
J. Decis. Syst.
Imad Bani Hani, Jorg Pareigis, Olgerta Tona, Sven A. Carlsson
2018 J jnl
J. Organ. Comput. Electron. Commer.
Imad Bani Hani, Olgerta Tona, Sven A. Carlsson
2018 conf
ECIS
Olgerta Tona, Ulrike Schultze
2018 conf
HICSS
Olgerta Tona, Ida Asadi Someh, Kaveh Mohajeri, Graeme G. Shanks, Michael J. Davern, Sven A. Carlsson, Miranda Kajtazi
2017 conf
ECIS
Olgerta Tona, Sven A. Carlsson
2017 conf
AMCIS
Imad Bani Hani, Olgerta Tona, Sven A. Carlsson
2016 J jnl
Int. J. Inf. Manag.
Twan Peters, Öykü Isik, Olgerta Tona, Ales Popovic
2016 J jnl
J. Decis. Syst.
Olgerta Tona, Dorothy E. Leidner, Sven A. Carlsson
2015 conf
AMCIS
Olgerta Tona
2014 conf
DSS
Olgerta Tona, Sven A. Carlsson
2014 conf
ISD
Olgerta Tona, Sven A. Carlsson
2013 conf
ISD
Olgerta Tona, Sven A. Carlsson
2013 conf
ECIS
Olgerta Tona, Sven A. Carlsson
2012 conf
AMCIS
Olgerta Tona, Sven A. Carlsson, Sean Eom
2012 conf
DSS
Sven A. Carlsson, Olgerta Tona
2012 J jnl
J. Decis. Syst.
Sven A. Carlsson, Olgerta Tona
2010 conf
DSS
Sven A. Carlsson, Linda-Marie Skog, Olgerta Tona
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"