Hai-Feng Zhang

19 papers A* 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expert Syst. Appl.
Hai-Feng Zhang, Guang-Hui Xiong, Bing-Bing Xiang, Xian-Jie Zhang
2025 J jnl
CoRR
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang, Liang-Liang Guo, Tian-Le Wang, Xiao-Yan Yang, Ren-Ze Zhao, Ze-An Zhao, Sheng Zhang, Lei Du, Hao-Ran Tao, Zhi-Long Jia, Wei-Cheng Kong, Huan-Yu Liu, Athanasios V. Vasilakos, Yang Yang, Yu-Chun Wu, Ji Guan, Peng Duan, Guo-Ping Guo
2025 J jnl
Inf. Process. Manag.
Xian-Jie Zhang, Xiao-Ming Zhang, Xu-Dong Huang, Hai-Feng Zhang
2025 J jnl
IEEE Trans. Instrum. Meas.
Jia-Rui Wang, Hai-Feng Zhang
2024 J jnl
IEEE Trans. Instrum. Meas.
Cheng Yang, Chuming Guo, Yu-Xin Wei, Hai-Feng Zhang
2024 J jnl
IEEE Trans. Instrum. Meas.
Chuming Guo, Cheng Yang, Xiang Li, Yu-Xin Wei, Hai-Feng Zhang
2024 A* conf
AAAI
Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang
2024 J jnl
IEEE Trans. Instrum. Meas.
Junyang Sui, Jiahao Zou, Si-Yuan Liao, Bao-Fei Wan, Hai-Feng Zhang
2024 J jnl
IEEE Trans. Instrum. Meas.
Jie Xu, Chuming Guo, Cheng Yang, Hai-Feng Zhang
2023 J jnl
IEEE Trans. Instrum. Meas.
Li Zeng, Bing-Xiang Li, Hai-Feng Zhang
2023 J jnl
IEEE Trans. Instrum. Meas.
Bao-Fei Wan, Bing-Xiang Li, Hai-Feng Zhang
2020 J jnl
IEEE Access
Li Zeng, Xing-Liang Tian, Yu-Peng Li, Dan Zhang, Hai-Feng Zhang
2019 J jnl
IEEE Access
Hai-Feng Zhang, Xing-Liang Tian, Guo-Biao Liu, Xin-Ru Kong
2019 J jnl
IEEE Access
Hai-Feng Zhang, Li Zeng, Guo-Biao Liu, Tong Huang
2019 J jnl
IEEE Access
Hai-Feng Zhang, Xing-Cai Hu, Yu Ma
2017 J jnl
Discret. Math.
Hai-Feng Zhang, Meng Zhou, Guang-Jun Zhang
2016 J jnl
Discret. Math.
Hai-Feng Zhang, Meng Zhou, Guang-Jun Zhang
2014 J jnl
Int. J. Interdiscip. Telecommun. Netw.
Hai-Feng Zhang, Yun Liu, Jun-Jun Chen
2012 J jnl
CoRR
Hai-Feng Zhang, Run-Ran Liu, Zhen Wang, Han-Xin Yang, Bing-Hong Wang
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"