Kai Lampka

36 papers A* 2A 5B 4Misc 5Journal 7Unranked 12
YearRankTypeTitle / Venue / Authors
2022 B conf
SAFECOMP
Kai Lampka, Joel Thurlby, Adam Lackorzynski, Marcus Hähnel
2019 conf
ICECS
Kai Lampka, Adam Lackorzynski
2017 A* conf
INFOCOM
Kai Lampka, Steffen Bondorf, Jens B. Schmitt, Nan Guan, Wang Yi
2016 B conf
MASCOTS
Kai Lampka, Steffen Bondorf, Jens B. Schmitt
2016 conf
ESTIMedia
Björn Forsberg, Kai Lampka, Vasileios Spiliopoulos
2016 A conf
DATE
Syed Md Jakaria Abdullah, Kai Lampka, Wang Yi
2016 J jnl
J. Parallel Distributed Comput.
Kai Lampka, Björn Forsberg, Vasileios Spiliopoulos
2016 A conf
DATE
Kai Lampka, Björn Forsberg
2016 A conf
RTAS
Yonghui Li, Benny Akesson, Kai Lampka, Kees Goossens
2016 conf
MMB/DFT
Kai Lampka, Adam Lackorzynski
2014 J jnl
Real Time Syst.
Kai Lampka, Georgia Giannopoulou, Rodolfo Pellizzoni, Zheng Wu, Nikolay Stoimenov
2014 conf
SIES
Jonas Flodin, Kai Lampka, Wang Yi
2013 J jnl
Int. J. Softw. Tools Technol. Transf.
Kai Lampka, Simon Perathoner, Lothar Thiele
2013 Misc conf
CODES+ISSS
Moritz Neukirchner, Kai Lampka, Sophie Quinton, Rolf Ernst
2013 B conf
RV
Kai Lampka
2012 A* conf
DAC
Pratyush Kumar, Dip Goswami, Samarjit Chakraborty, Anuradha Annaswamy, Kai Lampka, Lothar Thiele
2012 J jnl
ACM Trans. Embed. Comput. Syst.
Matthias Woehrle, Kai Lampka, Lothar Thiele
2012 J jnl
Trans. Petri Nets Other Model. Concurr.
Fabrice Kordon, Alban Linard, Didier Buchs, Maximilien Colange, Sami Evangelista, Kai Lampka, Niels Lohmann, Emmanuel Paviot-Adet, Yann Thierry-Mieg, Harro Wimmel
2012 Misc conf
EMSOFT
Georgia Giannopoulou, Kai Lampka, Nikolay Stoimenov, Lothar Thiele
2011 A conf
DATE
Simon Perathoner, Kai Lampka, Lothar Thiele
2011 Misc conf
CODES+ISSS
Kai Lampka, Kai Huang, Jian-Jia Chen
2011 Misc conf
CASES
Alena Simalatsar, Yusi Ramadian, Kai Lampka, Simon Perathoner, Roberto Passerone, Lothar Thiele
2011 conf
FORMATS
Matthias Woehrle, Kai Lampka, Lothar Thiele
2010 J jnl
Des. Autom. Embed. Syst.
Kai Lampka, Simon Perathoner, Lothar Thiele
2010 A conf
ICCAD
Simon Perathoner, Kai Lampka, Nikolay Stoimenov, Lothar Thiele, Jian-Jia Chen
2010 B conf
LCTES
Simon Perathoner, Tobias Rein, Lothar Thiele, Kai Lampka, Jonas Rox
2010 J jnl
Formal Methods Syst. Des.
Kai Lampka, Markus Siegle, Jörn Ossowski, Christel Baier
2009 Misc conf
EMSOFT
Kai Lampka, Simon Perathoner, Lothar Thiele
2009 conf
FORMATS
Matthias Woehrle, Kai Lampka, Lothar Thiele
2008 conf
RP
Kai Lampka
2007
Kai Lampka
2007 conf
VALUETOOLS
Kai Lampka, S. Harwarth, Markus Siegle
2006 conf
MMB
Kai Lampka, Markus Siegle
2006 conf
FMICS/PDMC
Kai Lampka, Markus Siegle, Max Walter
2006 conf
VALUETOOLS
Kai Lampka, Markus Siegle
2004 conf
Validation of Stochastic Systems
Matthias Kuntz, Kai Lampka
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"