Ingo Roeder

21 papers Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
CoRR
Sebastian Niehaus, Ingo Roeder, Nico Scherf
2023 conf
GECon
Nora Martens, Moritz Herzog, Johannes Herold, Jonas Bendig, Lydia Günther, Maximilian Vogt, Marie Brombach, Sophie Sieghardt, Ingo Roeder, Jochen Hampe
2021 J jnl
CoRR
Elena Williams, Sebastian Niehaus, Janis Reinelt, Alberto Merola, Paul Glad Mihai, Ingo Roeder, Nico Scherf, Maria del C. Valdés Hernández
2021 J jnl
PLoS Comput. Biol.
Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf
2020 J jnl
CoRR
Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus, Sebastian Wagner, Ingo Roeder, Nico Scherf
2020 J jnl
CoRR
Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton
2020 J jnl
BMC Medical Informatics Decis. Mak.
Katja Hoffmann, Katja Cazemier, Christoph Baldow, Silvio Schuster, Yuri Kheifetz, Sibylle Schirm, Matthias Horn, Thomas Ernst, Constanze Volgmann, Christian Thiede, Andreas Hochhaus, Martin Bornhäuser, Meinolf Suttorp, Markus Scholz, Ingmar Glauche, Markus Loeffler, Ingo Roeder
2018 J jnl
Comput. Stat.
Matthias Kuhn, Thoralf Stange, Sylvia Herold, Christian Thiede, Ingo Roeder
2018 J jnl
Biosyst.
Hans H. Diebner, Thomas Zerjatke, Max Griehl, Ingo Roeder
2017 J jnl
PLoS Comput. Biol.
Christoph Baldow, Sebastian Salentin, Michael Schroeder, Ingo Roeder, Ingmar Glauche
2016 conf
ISBI
Konstantin Thierbach, Gopi Shah, Ingmar Glauche, Jan Huisken, Ingo Roeder, Nico Scherf
2015 J jnl
Bioinform.
Theresa Niederberger, Henrik Failmezger, Diana Uskat, Don Poron, Ingmar Glauche, Nico Scherf, Ingo Roeder, Timm Schroeder, Achim Tresch
2014 conf
ISBI
Tim Becker, W. Kanje, Daniel H. Rapoport, Konstantin Thierbach, Nico Scherf, Ingo Roeder, Amir Madany Mamlouk
2013 conf
Bildverarbeitung für die Medizin
Nico Scherf, Michael Kunze, Konstantin Thierbach, Thomas Zerjatke, Patryk Burek, Heinrich Herre, Ingmar Glauche, Ingo Roeder
2013 conf
ISBI
Nico Scherf, Thomas Zerjatke, K. Klemm, Ingmar Glauche, Ingo Roeder
2013 J jnl
BMC Syst. Biol.
Axel Krinner, Ingo Roeder, Markus Loeffler, Markus Scholz
2012 conf
Bildverarbeitung für die Medizin
Nico Scherf, Christian Ludborzs, Konstantin Thierbach, Jens-Peer Kuska, Ulf-Dietrich Braumann, Patrick Scheibe, Tilo Pompe, Ingmar Glauche, Ingo Roeder
2012 J jnl
Bioinform.
Nico Scherf, Maria Herberg, Konstantin Thierbach, Thomas Zerjatke, Tuzer Kalkan, Peter Humphreys, Austin Smith, Ingmar Glauche, Ingo Roeder
2009 ch.
Multi-Agent Systems
Paul Howells, Mark d'Inverno, Rob Saunders, Ingo Roeder, Sara Montagna
2009 J jnl
PLoS Comput. Biol.
Ingmar Glauche, Kateri Moore, Lars Thielecke, Katrin Horn, Markus Loeffler, Ingo Roeder
2005 J jnl
Bioinform.
Kenneth A. Krohn, Markus Eszlinger, R. Paschke, Ingo Roeder, Ernst Schuster
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"