Ralf Philipsen

28 papers B 2C 5Journal 3Unranked 18
YearRankTypeTitle / Venue / Authors
2023 J jnl
ERCIM News
Philipp Brauner, Alexander Hick, Ralf Philipsen, Martina Ziefle
2023 J jnl
Frontiers Comput. Sci.
Philipp Brauner, Alexander Hick, Ralf Philipsen, Martina Ziefle
2021 C conf
WEBIST
Felix Schwinger, Ralf Philipsen, Simon Himmel, Matthias Jarke, Martina Ziefle
2021 conf
AHFE (12)
Ralf Philipsen, Hannah Biermann, Martina Ziefle
2021 conf
AHFE (12)
Ralf Philipsen, Hannah Biermann, Martina Ziefle
2021 conf
HCI (30)
Hannah Biermann, Ralf Philipsen, Teresa Brell, Simon Himmel, Martina Ziefle
2020 conf
AHFE (12)
Ralf Philipsen, Teresa Brell, Hannah Biermann, Martina Ziefle
2020 conf
AHFE (12)
Ralf Philipsen, Imke Haverkämper, Hannah Biermann, Teresa Brell, Martina Ziefle
2020 conf
HCI (32)
Hannah Biermann, Ralf Philipsen, Teresa Brell, Martina Ziefle
2019 C conf
VEHITS
Teresa Brell, Hannah Biermann, Ralf Philipsen, Martina Ziefle
2019 conf
AHFE (13)
Ralf Philipsen, Teresa Brell, Hannah Biermann, Teresa Eickels, Waldemar Brost, Martina Ziefle
2019 conf
HCI (29)
Teresa Brell, Hannah Biermann, Ralf Philipsen, Martina Ziefle
2019 J jnl
Behav. Inf. Technol.
Philipp Brauner, Ralf Philipsen, André Calero Valdez, Martina Ziefle
2018 C conf
VEHITS
Teresa Brell, Ralf Philipsen, Martina Ziefle
2018 conf
HCI (17)
Teresa Brell, Ralf Philipsen, Martina Ziefle
2017 conf
HCI (24)
Philipp Brauner, André Calero Valdez, Ralf Philipsen, Martina Ziefle
2017 B conf
Intelligent Vehicles Symposium
Johanna Josten, Teresa Schmidt, Ralf Philipsen, Lutz Eckstein, Martina Ziefle
2017 conf
AHFE (17)
Philipp Brauner, Ralf Philipsen, André Calero Valdez, Martina Ziefle
2017 conf
HCI (17)
Teresa Schmidt, Ralf Philipsen, Dzenan Dzafic, Martina Ziefle
2016 conf
HCI (22)
Philipp Brauner, André Calero Valdez, Ralf Philipsen, Martina Ziefle
2016 conf
SMARTGREENS/VEHITS (Selected Papers)
Teresa Schmidt, Ralf Philipsen, Martina Ziefle
2016 conf
MuC (Workshopband)
Philipp Brauner, André Calero Valdez, Ralf Philipsen, Martina Ziefle
2016 B conf
Intelligent Vehicles Symposium
Teresa Schmidt, Ralf Philipsen, Philipp Themann, Martina Ziefle
2016 conf
HCI (20)
Teresa Schmidt, Ralf Philipsen, Martina Ziefle
2016 C conf
VEHITS
Teresa Schmidt, Ralf Philipsen, Martina Ziefle
2015 conf
HCI (22)
Teresa Schmidt, Ralf Philipsen, Martina Ziefle
2015 C conf
VEHITS
Teresa Schmidt, Ralf Philipsen, Martina Ziefle
2014 conf
HCI (18)
Ralf Philipsen, Philipp Brauner, Sebastian Stiller, Martina Ziefle, Robert H. Schmitt
redb/extractors/js_extractors/js_content.py
← Index redb/extractors/js_extractors/js_content.py python
"""Persists raw + normalised text into the generic `code_text_content` table.

Reads the raw source and the deobfuscation result directly from the shared
JSContext so no extra compute happens here — both values are computed once
per sample (the source at JSContext construction, the deobfuscation lazily
on first access) and reused by any extractor that needs them.

`text_normalized` is left NULL when the deobfuscation pass produced no
output, so analysts can distinguish "we tried and got nothing" from
"normalisation succeeded".
"""

import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor


class JSContentExtractor(JSExtractor):

    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.content_row = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_CONTENT.value

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, normalizer_used = self._context.deobfuscated

        self.content_row = {
            "content_type": self._context.content_type,
            "text_raw": src,
            "text_normalized": deobfuscated,  # may be None
            "normalizer_used": normalizer_used,  # may be None
        }
        return self.content_row

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type != "ClickHouseExporter":
            return None
        if not self.content_row:
            return None

        r = self.content_row
        data = [[
            self.sha256,
            r["content_type"],
            r["text_raw"],
            r["text_normalized"],
            r["normalizer_used"],
            datetime.now(timezone.utc),
        ]]

        column_names = [
            "sha256",
            "content_type",
            "text_raw",
            "text_normalized",
            "normalizer_used",
            "analysis_date",
        ]

        column_type_names = [
            "FixedString(64)",
            "LowCardinality(String)",
            "String",
            "Nullable(String)",
            "Nullable(String)",
            "DateTime64(3, 'UTC')",
        ]

        return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_text_content"