Xiang Li

18 papers A* 1C 3Misc 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
INFOCOM
Hairui Zhao, Hongliang Li, Qi Tian, Jie Wu, Meng Zhang, Zhewen Xu, Xiang Li, Haixiao Xu
2025 J jnl
Future Gener. Comput. Syst.
Hongliang Li, Zichen Wang, Hairui Zhao, Meng Zhang, Xiang Li, Haixiao Xu
2025 J jnl
CoRR
Hongliang Li, Nong Zhang, Zhewen Xu, Xiang Li, Changzheng Liu, Chongbo Zhao, Jie Wu
2025 conf
WASA (3)
Xiaohui Wei, Mengting Zhou, Nan Jiang, Xiang Li, Qi Wu, Hengshan Yue
2025 J jnl
J. Comput. Sci. Technol.
Xiaohui Wei, Shiyu Tong, Zhongao Sun, Xiang Li, Hengshan Yue
2024 Misc conf
HPSC
Xiaohui Wei, Shiyu Tong, Zhongao Sun, Fengyi Li, Xiang Li, Hengshan Yue
2024 J jnl
J. Parallel Distributed Comput.
Hongliang Li, Hairui Zhao, Ting Sun, Xiang Li, Haixiao Xu, Keqin Li
2023 C conf
CLUSTER
Hongliang Li, Hairui Zhao, Zhewen Xu, Xiang Li, Haixiao Xu
2022 J jnl
J. Syst. Archit.
Pengcheng Zhao, Xiang Li, Shang Gao, Xiaohui Wei
2022 conf
HPCC/DSS/SmartCity/DependSys
Hongliang Li, Dong Xu, Zhewen Xu, Xiang Li
2022 conf
KSEM (2)
Xiaohui Wei, Mingkai Hou, Chenghao Ren, Xiang Li, Hengshan Yue
2021 conf
SmartCom
Xiaohui Wei, Tao Guo, Hongmei Yu, Zijian Li, Hao Guo, Xiang Li
2020 conf
HPCC/DSS/SmartCity
Hongliang Li, Ting Sun, Xiang Li, Haixiao Xu
2019 J jnl
IEEE Trans. Parallel Distributed Syst.
Xiaohui Wei, Lina Li, Xiang Li, Xingwang Wang, Shang Gao, Hongliang Li
2018 J jnl
J. Comput. Sci. Technol.
Hongliang Li, Jie Wu, Zhen Jiang, Xiang Li, Xiaohui Wei
2017 C conf
IPCCC
Hongliang Li, Jie Wu, Zhen Jiang, Xiang Li, Xiaohui Wei, Yuan Zhuang
2017 J jnl
IEEE Trans. Reliab.
Hongliang Li, Jie Wu, Zhen Jiang, Xiang Li, Xiaohui Wei
2017 C conf
CLUSTER
Hongliang Li, Jie Wu, Zhen Jiang, Xiang Li, Xiaohui Wei
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()