Wei Sun

30 papers Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Pattern Recognit.
Wei Sun, Qianzhou Wang, Yaqi Wang, Zhiqiang Hou, Qingsen Yan, Yanning Zhang
2026 J jnl
Expert Syst. Appl.
Xuehua Sun, Chenglong Wu, Xianguang Kong, Guowei Zhang, Runmeng Du, Wei Sun
2026 J jnl
Eng. Appl. Artif. Intell.
Chunmei Wang, Yunxiao Chang, Shan Xie, Xiaobao Yang, Yadong Tian, Wei Sun, Junyan Hu
2026 J jnl
Eng. Appl. Artif. Intell.
Wei Sun, Yaqi Wang, Qianzhou Wang, Xianguang Kong, Yanning Zhang
2026 J jnl
Digit. Signal Process.
Wei Sun, Yaqi Wang, Xinbo Gao, Yibao Zhao, Yongchao Song, Zhiqiang Hou, Yanning Zhang
2025 J jnl
Neurocomputing
Xiaobao Yang, Wei Luo, Hailong Ning, Guorui Zhang, Wei Sun, Sugang Ma
2025 J jnl
Knowl. Based Syst.
Xin Ge, Liping Qi, Yu Zhu, Wei Sun, Axi Niu, Qingsen Yan, Jinqiu Sun, Yanning Zhang
2025 J jnl
Signal Process. Image Commun.
Xiaobao Yang, Shuai He, Jie Zhang, Sugang Ma, Zhiqiang Hou, Wei Sun
2025 J jnl
Knowl. Based Syst.
Wei Sun, Qianzhou Wang, Yulong Tian, Xiaobao Yang, Xianguang Kong, Yizhuo Dong, Yanning Zhang
2025 J jnl
Complex Intell. Syst.
Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang
2024 J jnl
Expert Syst. Appl.
Xiaobao Yang, Yang Yang, Junsheng Wu, Wei Sun, Sugang Ma, Zhiqiang Hou
2024 J jnl
Knowl. Based Syst.
Wei Sun, Qianzhou Wang, Zhiqiang Hou, Xueling Chen, Qingsen Yan, Yanning Zhang
2024 J jnl
J. Electronic Imaging
Xiaobao Yang, Yulong He, Junsheng Wu, Wentao Wang, Wei Sun, Sugang Ma, Zhiqiang Hou
2024 J jnl
Eng. Appl. Artif. Intell.
Xueling Chen, Xuan Zhou, Wei Sun, Yanning Zhang
2024 J jnl
Complex Intell. Syst.
Wei Sun, Yulong Tian, Qianzhou Wang, Jin Lu, Xianguang Kong, Yanning Zhang
2024 J jnl
Eng. Appl. Artif. Intell.
Ying Li, Aiqing Fang, Yangming Guo, Wei Sun, Xiaobao Yang, Xiaodong Wang
2023 J jnl
Comput. Vis. Image Underst.
Xiaobao Yang, Yulong He, Junsheng Wu, Wei Sun, Tianyu Liu, Sugang Ma
2023 J jnl
Complex Intell. Syst.
Wei Sun, Xianguang Kong, Yanning Zhang
2023 J jnl
Pattern Recognit.
Xiaobao Yang, Junsheng Wu, Lang He, Sugang Ma, Zhiqiang Hou, Wei Sun
2023 J jnl
Knowl. Based Syst.
Wei Sun, Linyang Tian, Qianzhou Wang, Ruijia Cui, Jin Lu, Xiaobao Yang, Yanning Zhang
2022 J jnl
Pattern Recognit.
Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2021 J jnl
IEEE Trans. Image Process.
Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2021 J jnl
CoRR
Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang
2021 J jnl
Pattern Recognit.
Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang
2020 J jnl
Neurocomputing
Wei Sun, Yanning Zhang
2020 J jnl
CoRR
Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2020 J jnl
Neurocomputing
Wei Sun, Jinqiu Sun, Yu Zhu, Yanning Zhang
2019 J jnl
Neurocomputing
Wei Sun, Jinqiu Sun, Yu Zhu, Yaoqi Hu, Chen Ding, Haisen Li, Yanning Zhang
2017 conf
IScIDE
Wei Sun, Jinqiu Sun, Xueling Chen, Yu Zhu, Haisen Li, Yanning Zhang
2017 conf
IScIDE
Xueling Chen, Yu Zhu, Wei Sun, Yanning Zhang
redb/extractors/js_extractors/scripts/js-xray-runner.js
← Index redb/extractors/js_extractors/scripts/js-xray-runner.js javascript
#!/usr/bin/env node
// Bridge between the Python JS pipeline and @nodesecure/js-x-ray.
//
// Usage: node js-xray-runner.js <path-to-js-file>
//   stdout  one JSON object: {"obfuscator": <name|null>, "warnings": [...]}
//   stderr  human-readable error on failure
//   exit 0  analysis ran (the file may still be benign — see "obfuscator")
//   exit 1  the file could not be read or analysed
//
// Each warning is emitted as {kind, value} so the Python side can tag
// supporting signals (encoded-literal, short-identifiers, suspicious-literal,
// unsafe-stmt) without having to mirror js-x-ray's whole schema.
//
// js-x-ray ≥7 ships as an ES module, which CommonJS `require()` cannot load
// from a `.js` script — the dynamic `import()` below is what makes the
// bridge work without renaming the file to `.mjs` or adding `"type":
// "module"` to package.json (which would break tools that still
// `require()` from this directory).

const fs = require("fs");
const path = require("path");

function fail(msg) {
  process.stderr.write(msg + "\n");
  process.exit(1);
}

async function main() {
  const target = process.argv[2];
  if (!target) fail("usage: js-xray-runner.js <file>");

  let source;
  try {
    source = fs.readFileSync(target, "utf8");
  } catch (e) {
    fail(`read failed: ${e.message}`);
  }

  // The legacy `runASTAnalysis` function is deprecated (removed in v8); the
  // current API is the `AstAnalyser` class. Both produce a result with the
  // same `warnings` shape, so the rest of the bridge is unchanged.
  let AstAnalyser;
  try {
    ({ AstAnalyser } = await import("@nodesecure/js-x-ray"));
  } catch (e) {
    fail(`@nodesecure/js-x-ray not installed (run \`npm install\` in ${path.dirname(__filename)}): ${e.message}`);
  }

  // js-x-ray defaults to module-mode parsing, which rejects scripts that
  // (legally) use reserved words as identifiers, top-level `return`, etc.
  // A lot of real-world JS malware is script-style (WScript/HTA bodies,
  // pasted snippets) — retrying in script mode catches those without
  // pulling in a more lenient parser. Both attempts share the same
  // analyser; only the parse mode flips. If both fail, the original error
  // (module-mode) is reported because that's the more informative one for
  // genuinely broken sources.
  let result;
  const analyser = new AstAnalyser();
  let firstErr;
  try {
    result = await analyser.analyse(source, { module: true });
  } catch (e) {
    firstErr = e;
    try {
      result = await analyser.analyse(source, { module: false });
    } catch (e2) {
      fail(`js-x-ray analysis failed: ${firstErr.message}`);
    }
  }

  const warnings = (result.warnings || []).map((w) => ({
    kind: w.kind,
    value: w.value !== undefined ? w.value : null,
  }));

  // js-x-ray flags the obfuscator family in a warning whose kind is
  // "obfuscated-code" and whose value names the family (jsfuck, obfuscator.io,
  // freejsobfuscator, morse, jjencode, ...). Absent => not detected.
  const obfWarning = warnings.find((w) => w.kind === "obfuscated-code");
  const obfuscator = obfWarning ? obfWarning.value : null;

  // js-x-ray runs its own AST internally with a modern parser, so its
  // identifier-length average is the only path the Python pipeline has to
  // that signal on ES2015+ sources — pyjsparser is ES5.1-only and silently
  // drops to 0 the moment it hits destructuring, classes, optional chaining,
  // etc. Surfacing this lets the heuristic's `avg_identifier_length<2`
  // strong signal fire on real obfuscator.io output. `null` when the value
  // is missing or non-numeric (defensive — older js-x-ray builds may differ).
  const idsLengthAvg =
    typeof result.idsLengthAvg === "number" && !Number.isNaN(result.idsLengthAvg)
      ? result.idsLengthAvg
      : null;

  process.stdout.write(JSON.stringify({ obfuscator, warnings, idsLengthAvg }));
}

main().catch((e) => fail(e.message || String(e)));