Valentin N. Hartmann

21 papers A* 3A 3C 1Misc 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Valentin N. Hartmann, Tirza Heinle, Stelian Coros
2025 J jnl
CoRR
Nico Sutter, Valentin N. Hartmann, Stelian Coros
2025 J jnl
IEEE Trans. Robotics
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint
2024 A* conf
ICRA
Marc Toussaint, Joaquim Ortiz de Haro, Valentin N. Hartmann, Erez Karpas, Wolfgang Hönig
2024 A conf
IROS
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti
2024 J jnl
CoRR
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti
2023 A conf
IROS
Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint
2023 J jnl
CoRR
Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint
2023 J jnl
IEEE Trans. Robotics
Valentin N. Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint
2023 J jnl
CoRR
Valentin N. Hartmann, Marc Toussaint
2023 J jnl
CoRR
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint
2022 C conf
ISRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 J jnl
CoRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 J jnl
IEEE Robotics Autom. Lett.
Nicolas Kubail Kalousdian, Grzegorz Lochnicki, Valentin N. Hartmann, Samuel Leder, Ozgur S. Oguz, Achim Menges, Marc Toussaint
2022 A* conf
ICRA
Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint
2022 J jnl
CoRR
Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint
2021 A* conf
ICRA
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint
2020 J jnl
CoRR
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint
2020 A conf
IROS
Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges
2020 J jnl
CoRR
Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges
2020 Misc conf
CoRL
Son Nguyen, Ozgur S. Oguz, Valentin N. Hartmann, Marc Toussaint
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"