Walter Schubert

15 papers B 1C 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2022 conf
MetroXRAINE
Marilia Karla Soares Lopes, Belmir Jose de Jesus, Marc-Antoine Moinnereau, Reza Amini Gougeh, Olivier M. Rosanne, Walter Schubert, Alcyr Alves de Oliveira, Tiago H. Falk
2022 conf
MetroXRAINE
Reza Amini Gougeh, Belmir Jose de Jesus, Marilia Karla Soares Lopes, Marc-Antoine Moinnereau, Walter Schubert, Tiago H. Falk
2014 J jnl
Proc. Natl. Acad. Sci. USA
Walter Schubert, Andreas Dress, Mika Ruonala, Andreas Krusche, Reyk Hillert, Anne Gieseler, Peter Walden
2014 conf
VCBM
Steffen Oeltze-Jafra, Franz Pieper, Reyk Hillert, Bernhard Preim, Walter Schubert
2012 conf
VCBM
Steffen Oeltze, Paul Klemm, Reyk Hillert, Bernhard Preim, Walter Schubert
2011 J jnl
IEEE Trans. Vis. Comput. Graph.
Steffen Oeltze, Wolfgang Freiler, Reyk Hillert, Helmut Doleisch, Bernhard Preim, Walter Schubert
2008 conf
ISBI
Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir M. Rajpoot, Walter Schubert, Tim W. Nattkemper
2004 conf
German Conference on Bioinformatics
Walter Schubert
2003 J jnl
Comput. Biol. Medicine
Tim W. Nattkemper, Thorsten Twellmann, Helge J. Ritter, Walter Schubert
2002 J jnl
Neurocomputing
Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
2001 J jnl
IEEE Trans. Inf. Technol. Biomed.
Tim W. Nattkemper, Helge J. Ritter, Walter Schubert
2000 B conf
ESANN
Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
2000 conf
IJCNN (1)
Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert
1996 conf
VBC
Stefan Schünemann, Ch. Rethfeldt, F. Müller, K. Agha-Amiri, Bernd Michaelis, Walter Schubert
1996 C conf
ICANN
Stefan Schünemann, Bernd Michaelis, Walter Schubert
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"