Rainer Wasinger

27 papers A* 1A 7C 3Misc 4Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2022 C conf
CHIRA
Tim Wenzel, Doris Fetscher, Wolfgang Golubski, Susanne Klein, Rainer Wasinger
2018 J jnl
Symmetry
Mayra Donaji Barrera Machuca, Winyu Chinthammit, Weidong Huang, Rainer Wasinger, Henry Been-Lirn Duh
2016 Misc conf
OZCHI
Bridgette Kaminski, Rainer Wasinger, Kimberley Norris, Chris Zehntner, Shuxiang Xu, Winyu Chinthammit, Henry B. L. Duh
2015 J jnl
Expert Syst. Appl.
Zongyuan Zhao, Shuxiang Xu, Byeong Ho Kang, Mir Md Jahangir Kabir, Yunling Liu, Rainer Wasinger
2014 Misc conf
OZCHI
Rainer Wasinger, Hai He, Winyu Chinthammit, Christy Collis, Henry Been-Lirn Duh, Judy Kay
2013 conf
PerDis
Kazjon Grace, Rainer Wasinger, Christopher James Ackad, Anthony Collins, Oliver Dawson, Richard Gluga, Judy Kay, Martin Tomitsch
2013 Misc conf
OZCHI
Christopher James Ackad, Rainer Wasinger, Richard Gluga, Judy Kay, Martin Tomitsch
2013 A conf
UMAP
Rainer Wasinger, James Wallbank, Luiz Augusto Sangoi Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer, Antonio Krüger
2012 conf
UMAP Workshops
Rainer Wasinger, Matthew Wardrop, Anthony Collins, Michael Fry, Judy Kay, Bob Kummerfeld
2012 C conf
IPIN
Rainer Wasinger, Kurt Gubi, Judy Kay, Bob Kummerfeld, Michael Fry, Tsvi Kuflik
2012 A conf
UMAP
Rainer Wasinger, Michael Fry, Judy Kay, Bob Kummerfeld
2011 ch.
Resource-Adaptive Cognitive Processes
Wolfgang Wahlster, Michael Feld, Patrick Gebhard, Dominikus Heckmann, Ralf Jung, Michael Kruppa, Michael Schmitz, Lübomira Spassova, Rainer Wasinger
2010 A conf
UMAP
Simon Gerber, Michael Fry, Judy Kay, Bob Kummerfeld, Glen Pink, Rainer Wasinger
2010 C conf
MobiQuitous
Glen Pink, Simon Gerber, Michael Fry, Judy Kay, Bob Kummerfeld, Rainer Wasinger
2010 conf
Mobile HCI
Ilhan Aslan, Karin Leichtenstern, Paul Holleis, Rainer Wasinger, Christoph Stahl
2010 conf
WABBWUAS@UMAP
Kurt Gubi, Rainer Wasinger, Michael Fry, Judy Kay, Tsvi Kuflik, Bob Kummerfeld
2009 Misc conf
UbiComp
Anthony Collins, Anastasia Bezerianos, Gregor McEwan, Markus Rittenbruch, Rainer Wasinger, Judy Kay
2008
Rainer Wasinger
2007 conf
The Adaptive Web
Antonio Krüger, Jörg Baus, Dominik Heckmann, Michael Kruppa, Rainer Wasinger
2007 A conf
IUI
Jörg Baus, Rainer Wasinger, Ilhan Aslan, Antonio Krüger, Andreas Maier, Tim Schwartz
2006 A conf
IUI
Rainer Wasinger, Antonio Krüger
2005 conf
Pervasive
Rainer Wasinger, Antonio Krüger, Oliver Jacobs
2005 A* conf
ISMAR
Lübomira Spassova, Rainer Wasinger, Jörg Baus, Antonio Krüger
2004 J jnl
it Inf. Technol.
Rainer Wasinger, Antonio Krüger
2004 A conf
IUI
Antonio Krüger, Andreas Butz, Christian A. Müller, Christoph Stahl, Rainer Wasinger, Karl-Ernst Steinberg, Andreas Dirschl
2003 conf
Mobile HCI
Rainer Wasinger, Christoph Stahl, Antonio Krüger
2003 A conf
INTERSPEECH
Rainer Wasinger, Christoph Stahl, Antonio Krüger
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"