Na Wei

43 papers C 1Misc 1Journal 29Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Inf. Sci.
Na Wei, Songzheng Zhao, Jing Liu, Shenghui Wang
2025 J jnl
J. Vis.
Liu Liu Shi, Na Wei, Er Yun Chen
2024 J jnl
Appl. Math. Lett.
Yongsheng Jiang, Na Wei, Yonghong Wu
2024 J jnl
IEICE Trans. Commun.
Yuxiu Liu, Na Wei, Yongjie Li
2024 J jnl
Circuits Syst. Signal Process.
Qiang Yu, Na Wei
2024 J jnl
Trans. Inst. Meas. Control
Juan Huang, Xiaoming Tang, Zidi Xia, Na Wei, Cheng Tan
2024 conf
CAIBDA
Xueying Song, Xiaofeng Wang, Na Wei, Jiancang Xie
2024 J jnl
Int. J. Fuzzy Syst.
Na Wei, Xiaoming Tang, Xiao Lv, Zidi Xia
2024 J jnl
J. Control. Decis.
Qiang Yu, Na Wei
2023 J jnl
Inf. Sci.
Bailin Xie, Qi Li, Jian Kuang, Na Wei, Yu Wang
2023 J jnl
NeuroImage
Jia Zhang, Hehui Li, Manli Zhang, Zhengke Wang, Xiya Ao, Jie Jian, Na Wei, Haiyi Liu, Guosheng Ding, Xiangzhi Meng
2023 C conf
SAFEPROCESS
Na Wei, Xinyi Dou, Kai Zhong
2023 J jnl
Appl. Math. Lett.
Yuan Gao, Yongsheng Jiang, Lishan Liu, Na Wei
2022 J jnl
Electron. Commer. Res. Appl.
Na Wei, Songzheng Zhao, Jing Liu, Shenghui Wang
2022 J jnl
Trans. Inst. Meas. Control
Hongchun Qu, Na Wei, Mengyue Li, Yu Li
2022 J jnl
J. Frankl. Inst.
Xiaoming Tang, Zidi Xia, Na Wei
2022 conf
ICIIT
Bailin Xie, Na Wei
2022 conf
RICAI
Cong Yang, Ziliang Li, Haoyi Fan, Yong-Xia Chen, Nan Lin, Na Wei
2021 J jnl
IEEE Access
Peng Lou, Lixin Guo, Jing Feng, Na Wei
2021 conf
AIAM (ACM)
Na Wei, Yutong Zhang, Di Zhang
2021 J jnl
Future Gener. Comput. Syst.
Na Wei
2021 J jnl
J. Complex Networks
Na Wei, Wen-Jie Xie, Wei-Xing Zhou
2020 Misc conf
ICMLC
Na Wei, Fang Zhu, Zuo ChaoGao
2019 J jnl
Sensors
Na Wei, Mingyong Liu, Weibin Cheng
2019 conf
DPTA
Na Wang, Na Wei, Hongqin Li, Linghao Kong
2019 J jnl
J. Intell. Fuzzy Syst.
Na Wei, Xiang-Yang Xin
2019 J jnl
Sensors
Linke Zhang, Na Wei, Xuhao Du
2018 J jnl
Appl. Math. Comput.
Na Wei, Chaoyang Xu, Yingfeng Meng, Gao Li, Xiao Ma, Anqi Liu
2018 J jnl
计算机科学
Xiaoyan Tian, Na Wei, Zeming Fan, Suoliang Zhang
2017 conf
ROBIO
Na Wei, Mingyong Liu
2015 J jnl
Int. J. Inf. Commun. Technol.
Xueyu Huang, Yongbo Xiang, Chuangming Tong, Na Wei
2015 J jnl
IET Image Process.
Xing-Yuan Wang, Dou-Dou Zhang, Na Wei
2014 J jnl
J. Appl. Math.
Gao Li, Hongtao Li, Yingfeng Meng, Na Wei, Chaoyang Xu, Li Zhu, Haibo Tang
2012 J jnl
Int. J. Netw. Virtual Organisations
Bo Zhang, Shuying Jin, Na Wei
2011 J jnl
NeuroImage
Hanlin You, Nadine Gaab, Na Wei, Alice Cheng-Lai, Zhengke Wang, Jie Jian, Meixia Song, Xiangzhi Meng, Guosheng Ding
2010 conf
ICEE
Na Wei, Yongliang Zhou
2009 J jnl
J. Inf. Sci. Eng.
Mingming Yan, ZhiWu Li, Na Wei, Mi Zhao
2008 conf
FSKD (5)
Yanwe Li, Na Wei, Shengjie Niu, Ning Luo, Jifen Wen, Haojun Huang
2007 conf
Edutainment
Na Wei, Mingquan Zhou, Guohua Geng
2006 J jnl
Int. J. Inf. Acquis.
Rong Zhen, Mingquan Zhou, Na Wei, Guohua Geng
2005 conf
CASE
Na Wei, ZhiWu Li
2005 conf
ISNN (2)
Na Wei, M. Emre Celebi, Guohua Geng
2005 conf
ISNN (3)
Linke Zhang, Lin He, Ben Kerong, Na Wei, Yunfu Pang, Shijian Zhu
redb/extractors/js_extractors/js_deobfuscation.py
← Index redb/extractors/js_extractors/js_deobfuscation.py python
import hashlib
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import PATTERNS

# String literals of 4+ characters; only used by the deobfuscation diff to count
# strings revealed after deobfuscation. Compiled once at module load.
_STRING_LITERAL_4PLUS_RE = re.compile(r"[\"\']([^\"\']{4,})[\"\']")


class JSDeobfuscationExtractor(JSExtractor):
    """Compute pre/post-deobfuscation metrics for a JS sample.

    The actual deobfuscation pass (external tool with jsbeautifier fallback)
    lives on `JSContext.deobfuscated` and is cached per sample, so any other
    extractor that needs the deobfuscated text reads the same value without
    re-running the subprocess. Configure the external tool via env vars:
        JS_DEOBFUSCATOR_PATH    Path or name (default: webcrack)
        JS_DEOBFUSCATE_TIMEOUT  Seconds (default: 60)
    """

    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.deobfuscation_result = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_DEOBFUSCATION.value

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, deobfuscator_used = self._context.deobfuscated
        if deobfuscated is None:
            return None

        original_size = len(src)
        original_entropy = self._context.text_entropy
        deobfuscated_size = len(deobfuscated)
        deobfuscated_entropy = self._calculate_text_entropy(deobfuscated)
        size_change_ratio = round(deobfuscated_size / original_size, 4) if original_size else 0.0

        # Strings revealed by deobfuscation: matched literals are extracted from
        # both versions and the set difference is the count of "new" strings.
        original_strings = set(_STRING_LITERAL_4PLUS_RE.findall(src))
        deobfuscated_strings = set(_STRING_LITERAL_4PLUS_RE.findall(deobfuscated))
        new_strings = deobfuscated_strings - original_strings

        # Suspicious APIs revealed by deobfuscation. Both sides of the diff
        # come from JSContext caches: the raw scan is computed once for the
        # whole pipeline; the deobfuscated scan is computed once and reused
        # by JSSuspiciousAPIsExtractor's revealed_by_deobf rows.
        original_apis = {n for n in self._context.scan if n in PATTERNS}
        deobfuscated_apis = set(self._context.scan_deobfuscated)
        new_apis = deobfuscated_apis - original_apis

        deobfuscated_sha256 = hashlib.sha256(deobfuscated.encode('utf-8')).hexdigest()

        self.deobfuscation_result = {
            'deobfuscator_used': deobfuscator_used,
            'deobfuscation_successful': True,
            'original_size': original_size,
            'deobfuscated_size': deobfuscated_size,
            'size_change_ratio': size_change_ratio,
            'original_entropy': original_entropy,
            'deobfuscated_entropy': deobfuscated_entropy,
            'new_strings_found': len(new_strings),
            'new_apis_found': len(new_apis),
            'deobfuscated_sha256': deobfuscated_sha256,
        }
        return self.deobfuscation_result

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.deobfuscation_result:
                return None

            r = self.deobfuscation_result
            current_time = datetime.now(timezone.utc)
            data = [[
                self.sha256,
                r['deobfuscator_used'],
                int(r['deobfuscation_successful']),
                r['original_size'],
                r['deobfuscated_size'],
                r['size_change_ratio'],
                r['original_entropy'],
                r['deobfuscated_entropy'],
                r['new_strings_found'],
                r['new_apis_found'],
                r['deobfuscated_sha256'],
                current_time,
            ]]

            column_names = [
                "sha256", "deobfuscator_used", "deobfuscation_successful",
                "original_size", "deobfuscated_size", "size_change_ratio",
                "original_entropy", "deobfuscated_entropy",
                "new_strings_found", "new_apis_found",
                "deobfuscated_sha256", "analysis_date",
            ]

            column_type_names = [
                "FixedString(64)", "LowCardinality(String)", "UInt8",
                "UInt64", "UInt64", "Float64",
                "Float64", "Float64",
                "UInt32", "UInt32",
                "FixedString(64)", "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_js_deobfuscation"