Ramandeep Kaur

24 papers Journal 9Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Microelectron. J.
Ramandeep Kaur, Nihar R. Mohapatra
2025 J jnl
Finite Fields Their Appl.
Sartaj Ul Hasan, Ramandeep Kaur
2024 conf
ICCCNT
Hasan Khan, Ramandeep Kaur
2024 J jnl
Multim. Tools Appl.
Ramandeep Kaur, Navdeep Kaur
2022 J jnl
SN Comput. Sci.
Ramandeep Kaur, Navdeep Kaur
2021 J jnl
SN Comput. Sci.
Amandeep Kaur, Ramandeep Kaur, Gagandeep Jagdev
2021 J jnl
SN Comput. Sci.
Baljinder Singh, Ramandeep Kaur, Amandeep Kaur, Gagandeep Jagdev
2019 J jnl
Int. J. Serv. Sci. Manag. Eng. Technol.
Ramandeep Kaur, Sandeep Kautish
2018 conf
ISDDC
Amanjot Kaur, Ramandeep Kaur
2018 J jnl
Int. J. Electron. Heal.
Ramandeep Kaur, Patricia Morreale
2017 conf
HCI (20)
Ramandeep Kaur, Patricia Morreale, Marvin Andujar
2017 J jnl
Nucleic Acids Res.
Koenraad Van Doorslaer, Zhiwen Li, Sandhya Xirasagar, Piet Maes, David Kaminsky, David Liou, Qiang Sun, Ramandeep Kaur, Yentram Huyen, Alison A. McBride
2016 conf
ICIIS
Narinder Sharma, Ramandeep Kaur, Vipul Sharma
2016 conf
ICSPS
Ramandeep Kaur, Kamaljit Kaur
2016 conf
ICACCI
Ramandeep Kaur, Mandeep Singh
2015 conf
SoCC
Ramandeep Kaur, Alexander Fell, Harsh Rawat
2015 conf
SocProS (2)
Ramandeep Kaur, Stuti Arora, P. C. Jha
2015 conf
VDAT
Ramandeep Kaur, Rahul Malhotra, Sujay Deb
2013 conf
SocProS (2)
P. C. Jha, Ramandeep Kaur, Sonam Narula, Sushila Madan
2013 conf
SEMCCO (2)
P. C. Jha, Ramandeep Kaur, Shivani Bali, Sushila Madan
2013 conf
ICETET
Ramandeep Kaur, Sonika Jindal
2012 conf
ICSPCS
Rahul Hans, Ramandeep Kaur
2012 conf
ICACCI
Lakhwinder Kumar, Hardeep Singh, Ramandeep Kaur
2010 conf
ICEIS (4)
Rajwinder Singh, Ramandeep Kaur, Rama Krishna Challa
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"