Xianyong Xiao

27 papers C 1Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Smart Grid
Xiaomei Yang, Tao Shan, Haonan Xiong, Xianyong Xiao, Xingrui Huang, Yang Wang
2026 J jnl
IEEE Trans. Smart Grid
Shen Dong, Buxiang Zhou, Tianlei Zang, Chuangzhi Li, Huan Luo, Jiaqi Ruan, Shi Chen, Xianyong Xiao
2025 J jnl
IEEE Internet Things J.
Shen Dong, Buxiang Zhou, Tianlei Zang, Huan Luo, Shi Chen, Xianyong Xiao, Jizhong Zhu
2025 J jnl
IEEE Trans. Instrum. Meas.
Xianyong Xiao, Zihang Ruan, Wenxi Hu, Qiyu Xiang, Hao Dong
2025 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Xiaoyang Ma, Maosheng Zhao, Jinwen Liang, Xianyong Xiao, Ying Wang, Zehui Yuan, Yuheng Wan
2025 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Xiaoyang Ma, Jinwen Liang, Yuheng Wan, Zesen Gui, Zehui Yuan, Ying Wang, Xianyong Xiao
2023 J jnl
IEEE Trans. Ind. Electron.
Hanlei Tian, Maolin Chen, Guozhuang Liang, Xianyong Xiao
2023 J jnl
Entropy
Xianyong Xiao, Runze Zhou, Xiaoyang Ma, Rui Xu
2022 J jnl
IEEE Access
Hong Lu, Wen-Hai Zhang, Ying Wang, Xianyong Xiao
2022 J jnl
IEEE Trans. Smart Grid
Qiang Fu, Wenjuan Du, Haifeng Wang, Xiaoyang Ma, Xianyong Xiao
2022 J jnl
IEEE Trans. Instrum. Meas.
Shunyi Li, Ying Wang, Wenxi Hu, Xianyong Xiao
2022 J jnl
IEEE Trans. Instrum. Meas.
Shu Zhang, Hao Chen, Jie Tang, Wenhai Zhang, Tianlei Zang, Xianyong Xiao
2022 J jnl
IEEE Access
Runze Zhou, Xiaoyang Ma, Rui Xu, Xianyong Xiao, Jinshuai Zhao
2022 J jnl
IEEE Trans. Smart Grid
Xianyong Xiao, Zhuocheng Li, Yang Wang, Yaxiang Zhou, Ke Liu
2021 J jnl
IET Circuits Devices Syst.
Guozhuang Liang, Hanlei Tian, Hetong Wang, Yiwen Xia, Xianyong Xiao
2021 J jnl
Wirel. Commun. Mob. Comput.
Ding Kai, Li Wei, Jianfeng Sun, Xianyong Xiao, Ying Wang
2021 J jnl
IEEE Access
Anjunguo Huang, Xianyong Xiao, Ying Wang
2020 C conf
IECON
Zhixuan Bai, Wenjia Jiang, Xianyong Xiao
2020 J jnl
IEEE Trans. Smart Grid
Xiaomei Yang, Jianing Zhang, Xiaorong Xie, Xianyong Xiao, Bo Gao, Yang Wang
2020 J jnl
IET Circuits Devices Syst.
Zhong Xu, Wenxiong Mo, Liangyu Gui, Zhiyuan Ma, Xianyong Xiao
2016 J jnl
Neural Comput. Appl.
Zhen Chen, Xianyong Xiao, Changsong Li, Yin Zhang, Qingquan Hu
2016 J jnl
Neural Comput. Appl.
Zhen Chen, Xianyong Xiao, Changsong Li, Yin Zhang, Qingquan Hu
2012 conf
FSKD
Fangwei Xu, Yin Zhang, Honggeng Yang, Xianyong Xiao
2012 conf
ISIE
Wei Xu, Yunhong Zhang, Cengbi Zeng, Xianyong Xiao
2008 conf
APCCAS
Xianyong Xiao, Wan Li, Honggeng Yang
2008 conf
APCCAS
Xianyong Xiao, Xuna Liu, Honggeng Yang
2003 conf
WAA
Xianyong Xiao, Honggeng Yang
redb/extractors/js_extractors/js_strings.py
← Index redb/extractors/js_extractors/js_strings.py python
import base64
import bisect
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 STRING_PATTERNS, line_offsets

# Local aliases for the compiled patterns this extractor uses. Defined and
# compiled exactly once in js_patterns.STRING_PATTERNS.
_HEX_STRING_RE = STRING_PATTERNS["hex_escape_seq"]
_UNICODE_STRING_RE = STRING_PATTERNS["unicode_escape_seq"]
_CHARCODE_RE = STRING_PATTERNS["charcode_call"]
_BASE64_STRING_RE = STRING_PATTERNS["base64_quoted"]
_CONCAT_STRING_RE = STRING_PATTERNS["concat_chain"]

# Tokeniser used inside _reconstruct_concat to pull each quoted part out of a
# matched concat chain. Compiled once at module load (was recompiled on every
# concat match before).
_CONCAT_TOKEN_RE = re.compile(r'["\']([^"\']*)["\']')


class JSStringsExtractor(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.string_findings = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _decode_hex_string(self, hex_str):
        """Decode \\x41\\x42 style hex strings."""
        try:
            # Remove \\x prefix and decode
            clean = hex_str.replace('\\x', '')
            return bytes.fromhex(clean).decode('utf-8', errors='replace')
        except Exception:
            return None

    def _decode_unicode_string(self, uni_str):
        """Decode \\u0041\\u0042 style unicode strings."""
        try:
            return uni_str.encode('utf-8').decode('unicode_escape')
        except Exception:
            return None

    def _decode_charcode(self, charcode_str):
        """Decode String.fromCharCode(72, 101, 108, ...) sequences."""
        try:
            codes = [int(c.strip()) for c in charcode_str.split(',') if c.strip().isdigit()]
            return ''.join(chr(c) for c in codes if 0 <= c <= 0x10FFFF)
        except Exception:
            return None

    def _decode_base64(self, b64_str):
        """Attempt to decode base64 string."""
        try:
            decoded = base64.b64decode(b64_str)
            # Check if result is printable text
            text = decoded.decode('utf-8', errors='strict')
            # Only return if it looks like text (>80% printable)
            printable = sum(1 for c in text if c.isprintable() or c in '\n\r\t')
            if printable / len(text) > 0.8:
                return text
        except Exception:
            pass
        return None

    def _reconstruct_concat(self, concat_match):
        """Reconstruct concatenated string parts."""
        try:
            parts = _CONCAT_TOKEN_RE.findall(concat_match)
            return ''.join(parts)
        except Exception:
            return None

    def _find_line_number(self, match_start):
        """1-indexed line number for `match_start`, looked up in O(log L) via
        bisect over `self._line_offsets` (built once per extract() call).

        Replaces the historical `self.js_source[:match_start].count('\\n') + 1`
        which was O(N) per call and quadratic across all matches in a sample.
        """
        return bisect.bisect_right(self._line_offsets, match_start)

    def _scan_text(self, text):
        """Run every encoded-string pattern over `text` and return a list of
        finding dicts. Stateless apart from the per-call `_line_offsets` cache,
        which `_find_line_number` reads — callers must reset it before invoking
        this so line numbers reference the text being scanned, not the previous
        one.
        """
        findings = []

        # Hex-encoded strings
        for m in _HEX_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_hex_string(raw)
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'hex',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Unicode-encoded strings
        for m in _UNICODE_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_unicode_string(raw)
            if decoded and len(decoded) >= 3:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'unicode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # String.fromCharCode sequences
        for m in _CHARCODE_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_charcode(m.group(1))
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'charcode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Base64-encoded strings
        for m in _BASE64_STRING_RE.finditer(text):
            raw = m.group(0)
            b64_val = m.group(1)
            decoded = self._decode_base64(b64_val)
            if decoded and len(decoded) >= 10:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'base64',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Concatenated strings (reassembled)
        for m in _CONCAT_STRING_RE.finditer(text):
            raw = m.group()
            reconstructed = self._reconstruct_concat(raw)
            if reconstructed and len(reconstructed) >= 20:
                findings.append({
                    'string': reconstructed[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'concat',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(reconstructed),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(reconstructed),
                })

        return findings

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

        # Pass 1: raw source. _line_offsets is keyed off whichever text is
        # currently being scanned so _find_line_number resolves to that text.
        self._line_offsets = line_offsets(src)
        findings = self._scan_text(src)

        # Pass 2: deobfuscated text, when the deobfuscator produced something
        # meaningfully different. Same patterns, but a different surface — for
        # samples where the encoded payload is hidden behind an outer wrapper
        # (e.g. array.join() + eval in Vjw0rm/WSH-RAT) only this pass yields
        # any rows at all.
        deobf_text, _ = self._context.deobfuscated
        if deobf_text and deobf_text != src:
            self._line_offsets = line_offsets(deobf_text)
            findings.extend(self._scan_text(deobf_text))

        if not findings:
            return None

        # Deduplicate by decoded string value (raw pass wins on collision: it
        # comes first in `findings`). A string that surfaces only in the
        # deobfuscated text still gets persisted, which is the whole point of
        # the second pass.
        seen_values = set()
        deduped = []
        for f in findings:
            val_key = f['string'][:100]
            if val_key not in seen_values:
                seen_values.add(val_key)
                deduped.append(f)

        self.string_findings = deduped[:500]  # Limit per file
        # Publish to the shared context so post-loop consumers (notably the IOC
        # plumbing in workers.py) can scrape the decoded strings without
        # holding a reference to this extractor instance.
        self._context.decoded_strings = self.string_findings
        return self.string_findings

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

            data = []
            for f in self.string_findings:
                data.append([
                    self.sha256,
                    f['string'],
                    f['string_raw'],
                    f['string_encoding'],
                    f['string_offset'],
                    f['string_length'],
                    f['string_raw_length'],
                    f['string_entropy'],
                ])

            column_names = [
                "sha256",
                "string",
                "string_raw",
                "string_encoding",
                "string_offset",
                "string_length",
                "string_raw_length",
                "string_entropy",
            ]

            column_type_names = [
                "FixedString(64)",
                "String",
                "String",
                "LowCardinality(String)",
                "UInt64",
                "UInt32",
                "UInt32",
                "Float32",
            ]

            return (data, column_names, column_type_names)

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