Hang Zhan

18 papers B 2Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE J. Sel. Areas Commun.
Yongming Huang, Hang Zhan, Haihang Jiang, Jingyi Chen, Jiaheng Wang
2025 B conf
WCNC
Zeyu Tan, Shiwen He, Hang Zhan, Yongming Huang, Siyu Huang
2024 J jnl
Kybernetika
Ya-Ming Wang, Hang Zhan, Yuan-Yuan Zhao
2024 J jnl
CoRR
Yongming Huang, Xiaohu You, Hang Zhan, Shiwen He, Ningning Fu, Wei Xu
2024 J jnl
IEEE Trans. Mob. Comput.
Yongming Huang, Xiaohu You, Hang Zhan, Shiwen He, Ningning Fu, Wei Xu
2024 J jnl
Multim. Tools Appl.
Hua Tan, Lang He, Zhangcan Huang, Hang Zhan
2023 J jnl
IEEE Wirel. Commun.
Xiaohu You, Yongming Huang, Shengheng Liu, Dongming Wang, Junchao Ma, Chuan Zhang, Hang Zhan, Cheng Zhang, Jiao Zhang, Zening Liu, Jin Li, Min Zhu, Jianjie You, Dongjie Liu, Yang Cao, Shiwen He, Guanghui He, Fengyi Yang, Yang Liu, Jianjun Wu, Jianmin Lu, Ge Li, Xiaowu Chen, Wenguang Chen, Wen Gao
2022 B conf
GLOBECOM
Shiwen He, Yeyu Ou, Liangpeng Wang, Hang Zhan, Peng Ren, Yongming Huang
2022 J jnl
CoRR
Shiwen He, Yeyu Ou, Liangpeng Wang, Hang Zhan, Peng Ren, Yongming Huang
2022 J jnl
CoRR
Xiaohu You, Yongming Huang, Shengheng Liu, Dongming Wang, Junchao Ma, Wei Xu, Chuan Zhang, Hang Zhan, Cheng Zhang, Jiao Zhang, Jin Li, Min Zhu, Jianjie You, Dongjie Liu, Shiwen He, Guanghui He, Fengyi Yang, Yang Liu, Jianjun Wu, Jianmin Lu, Ge Li, Xiaowu Chen, Wenguang Chen, Wen Gao
2021 J jnl
Fuzzy Sets Syst.
Yuan-Yuan Zhao, Hang Zhan, Hua-Wen Liu
2020 J jnl
Fuzzy Sets Syst.
Ya-Ming Wang, Hang Zhan, Hua-Wen Liu
2019 conf
ICITEE
Lefeng Shi, Yi Long, Tingting Xu, Xiaorui Hu, Hang Zhan, Hanlin Xia
2019 J jnl
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Ya-Ming Wang, Wen-Wen Zong, Hang Zhan, Hua-Wen Liu
2018 J jnl
Fuzzy Sets Syst.
Hang Zhan, Ya-Ming Wang, Hua-Wen Liu
2018 J jnl
Fuzzy Sets Syst.
Hang Zhan, Ya-Ming Wang, Hua-Wen Liu
2017 J jnl
J. Intell. Fuzzy Syst.
Hang Zhan, Hua-Wen Liu
2017 J jnl
J. Intell. Fuzzy Syst.
Hang Zhan, Hua-Wen Liu
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"