Xiaojie Yu

20 papers A 1B 2C 2Misc 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inf. Sci.
Xiaoyun Xiong, Mingzhe Jiang, Xiaojie Yu, Xiaoxue Fang, Haoran Zhao, Yingmin Liu, Jinlong Wang
2025 conf
ICIC (17)
Xiaojie Yu, Zhongxu Bao, Xu Yang, Yuqing Yin, Qiang Niu
2025 J jnl
Expert Syst. J. Knowl. Eng.
Xiaojie Yu, Ben-Guo He, Xu Xu, Yicong Zhou, Miguel A. Diaz, Junxin Chen, David Camacho
2025 A conf
ICME
Xiaojie Yu, Mingzhi Pang, Zhongxu Bao, Xu Yang, Qiang Niu, Yuqing Yin
2024 C conf
IGARSS
Yuan Yao, Lantian Chang, Xiaojie Yu, Haopeng Zhang
2024 J jnl
CoRR
Xiaojie Yu, Haibo Zhang, Lizhi Peng, Fengyang Sun, Jeremiah D. Deng
2023 conf
ADMA (5)
Hui Li, Yihang Hao, Mengda Lyu, Xiaojie Yu, Bo Yang, Lizhi Peng
2023 B conf
SMC
Xuehan Zhang, Zhongxu Bao, Xiaojie Yu, Yuqing Yin, Xu Yang, Qiang Niu
2022 conf
WASA (2)
Yuqing Yin, Xiaojie Yu, Shouwan Gao, Xu Yang, Pengpeng Chen, Qiang Niu
2022 conf
WASA (3)
Xiaojie Yu, Xu Yang, Yuqing Yin, Shouwan Gao, Pengpeng Chen, Qiang Niu
2021 J jnl
Comput. Electr. Eng.
Xiaojie Yu, Lijun Sun, Yang Yan, Guanfeng Liu
2021 J jnl
IEEE Commun. Lett.
Xu Yang, Xiaojie Yu, Chi Zhang, Sen Li, Qiang Niu
2020 C conf
IPCCC
Lijun Sun, Xiaojie Yu, Shicong Chen, Yang Yan
2020 conf
ML4CS (2)
Xiaojie Yu, Min Qiu, Lizhi Peng
2020 Misc conf
ICASSP
Jinjian Wu, Chuanwei Ma, Xiaojie Yu, Guangming Shi
2018 J jnl
Sustain. Comput. Informatics Syst.
He Zhang, Xiaojie Yu
2017 B conf
GLOBECOM
Xiaojie Yu, Xiaojun Chen, Jinqiao Shi, Liyan Shen, Dakui Wang
2016 conf
ICME Workshops
Wenjing Han, Huabin Ruan, Xiaojie Yu, Xuan Zhu
2015 J jnl
IEEE Trans. Consumer Electron.
Yiding Wang, Wei Xie, Xiaojie Yu, Lik-Kwan Shark
2014 conf
ISCTCS
Yan Chen, Yiguo Pu, Xiaojun Chen, Jinqiao Shi, Xiaojie Yu
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"