Xiangmeng Wang

24 papers A* 2B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Shijie Zhang, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li
2025 J jnl
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2025 conf
WWW (Companion Volume)
Jun Li, Xiangmeng Wang, Yifei Yan, Haoyang Li, Hong Va Leong, Nancy Xiaonan Yu, Qing Li
2025 J jnl
CoRR
Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li
2024 J jnl
Trans. Recomm. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 conf
DASFAA (3)
Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li
2024 J jnl
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu
2024 J jnl
ACM Trans. Inf. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 J jnl
Inf. Sci.
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu
2024 B conf
IEEE Big Data
Jun Li, Yifei Yan, Ziyan Zhang, Xiangmeng Wang, Hong Va Leong, Nancy Xiaonan Yu, Qing Li
2024 J jnl
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
ACM Trans. Knowl. Discov. Data
Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2023 J jnl
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu
2023 J jnl
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Neurocomputing
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2022 J jnl
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2022 A* conf
SIGIR
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
2022 A* conf
WWW
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 J jnl
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 conf
PAKDD (1)
Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu
2021 J jnl
CoRR
Qian Li, Xiangmeng Wang, Guandong Xu
2020 conf
PAKDD (1)
Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu
2020 J jnl
Multim. Tools Appl.
Syed Muhammad Raza Abidi, Yonglin Xu, Jianyue Ni, Xiangmeng Wang, Wu Zhang
redb/extractors/js_extractors/js_xray.py
← Index redb/extractors/js_extractors/js_xray.py python
"""Subprocess wrapper for the bundled js-x-ray Node bridge.

Mirrors `js_deobfuscator.py`: shell out to a Node script with a per-sample
timeout, kill the process group on hang, demote `FileNotFoundError` to debug
(missing tool is routine — the host either has Node + the bundled package
installed or it doesn't), and return a structured result on success.

The bridge lives at `redb/extractors/js_extractors/scripts/js-xray-runner.js`.
Operators install the JS dependency once with `npm install` in that directory
(or override the path with `JS_XRAY_RUNNER_PATH`).

Configuration (env vars):
    JS_XRAY_RUNNER_PATH   Path to the Node bridge script (default: bundled).
    JS_XRAY_TIMEOUT       Seconds before the subprocess is killed. Default: 30.

`run(source, log)` returns `XRayResult(obfuscator, warnings)` on a successful
analysis, or `XRayResult(None, [])` for any non-success path (binary missing,
timeout, parse failure, etc.). The two unsuccessful states are
indistinguishable to the caller on purpose — they all collapse to "no
js-x-ray verdict, fall back to heuristic".
"""

from __future__ import annotations

import json
import os
import signal
import subprocess
import tempfile
from dataclasses import dataclass, field
from typing import List, Optional

# Bundled bridge: redb/extractors/js_extractors/scripts/js-xray-runner.js
_DEFAULT_RUNNER = os.path.join(
    os.path.dirname(__file__), "scripts", "js-xray-runner.js"
)
_DEFAULT_NODE = "node"
_DEFAULT_TIMEOUT_SECS = 30


@dataclass
class XRayResult:
    """Parsed js-x-ray output. `obfuscator` is the recognised family name
    (e.g. "jsfuck", "obfuscator.io") or None when js-x-ray did not flag the
    code. `warnings` carries every {kind, value} pair the analyser produced;
    the heuristic uses it as a corroborating signal. `avg_identifier_length`
    is js-x-ray's own AST-derived figure — used as a fallback for the
    heuristic's `avg_identifier_length<2` strong signal when pyjsparser
    can't parse the source (anything ES2015+ trips it)."""

    obfuscator: Optional[str] = None
    warnings: List[dict] = field(default_factory=list)
    avg_identifier_length: Optional[float] = None

    @property
    def flagged(self) -> bool:
        return self.obfuscator is not None


def _empty() -> XRayResult:
    return XRayResult(obfuscator=None, warnings=[])


def run(source: str, log) -> XRayResult:
    if not source:
        return _empty()

    runner = os.getenv("JS_XRAY_RUNNER_PATH", _DEFAULT_RUNNER)
    node_bin = os.getenv("JS_XRAY_NODE_BIN", _DEFAULT_NODE)
    timeout = int(os.getenv("JS_XRAY_TIMEOUT", str(_DEFAULT_TIMEOUT_SECS)))

    if not os.path.exists(runner):
        log.debug(f"js-x-ray runner not found at {runner}")
        return _empty()

    # Skip the subprocess entirely when the JS dependency isn't installed.
    # Without this, every call to a host that has `node` but never ran
    # `npm install` next to the runner would still fork node, get a require
    # error, and exit nonzero — wasted ~50–200ms per JS sample (and per test).
    runner_dir = os.path.dirname(runner)
    if not os.path.isdir(os.path.join(runner_dir, "node_modules", "@nodesecure", "js-x-ray")):
        log.debug(f"@nodesecure/js-x-ray not installed in {runner_dir}")
        return _empty()

    tmp_path = None
    try:
        with tempfile.NamedTemporaryFile(
            suffix=".js", mode="w", delete=False, encoding="utf-8"
        ) as tmp:
            tmp.write(source)
            tmp_path = tmp.name

        try:
            process = subprocess.Popen(
                [node_bin, runner, tmp_path],
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                preexec_fn=os.setsid,
            )
            try:
                stdout, stderr = process.communicate(timeout=timeout)
            except subprocess.TimeoutExpired:
                # Kill the whole process group so any node helpers die too.
                try:
                    os.killpg(os.getpgid(process.pid), signal.SIGTERM)
                    process.wait(timeout=5)
                except Exception:
                    try:
                        os.killpg(os.getpgid(process.pid), signal.SIGKILL)
                    except Exception:
                        pass
                log.warning(f"js-x-ray timed out after {timeout}s")
                return _empty()

            if process.returncode != 0:
                err = stderr.decode("utf-8", errors="replace").strip()
                log.debug(f"js-x-ray exited {process.returncode}: {err}")
                return _empty()

            text = stdout.decode("utf-8", errors="replace").strip()
            if not text:
                return _empty()

            try:
                payload = json.loads(text)
            except json.JSONDecodeError as e:
                log.warning(f"js-x-ray emitted non-JSON output: {e}")
                return _empty()

            obfuscator = payload.get("obfuscator")
            warnings = payload.get("warnings") or []
            if not isinstance(warnings, list):
                warnings = []

            ids_avg = payload.get("idsLengthAvg")
            if not isinstance(ids_avg, (int, float)):
                ids_avg = None

            return XRayResult(
                obfuscator=obfuscator,
                warnings=warnings,
                avg_identifier_length=ids_avg,
            )
        finally:
            if tmp_path:
                try:
                    os.unlink(tmp_path)
                except Exception:
                    pass
    except FileNotFoundError:
        log.debug(f"node binary not found at {node_bin}")
        return _empty()
    except Exception as e:
        log.error(f"js-x-ray subprocess error: {e}")
        return _empty()