James R. Wootton

17 papers A 1C 3Misc 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Computer Graphics and Applications
João S. Ferreira, Pierre Fromholz, Hari Shaji, James R. Wootton
2025 J jnl
CoRR
João S. Ferreira, Pierre Fromholz, Hari Shaji, James R. Wootton
2025 C conf
CoG
Daniel Bultrini, James R. Wootton
2025 J jnl
CoRR
João S. Ferreira, Arianna Crippa, Astryd Park, Daniel Bultrini, Pierre Fromholz, Roman Lipski, Karl Jansen, James R. Wootton
2022 J jnl
CoRR
Laura Piispanen, Marcel Pfaffhauser, Annakaisa Kultima, James R. Wootton
2022 J jnl
CoRR
Amin Karamlou, Marcel Pfaffhauser, James R. Wootton
2021 J jnl
CoRR
James R. Wootton, Marcel Pfaffhauser
2021 Misc conf
QCE
James R. Wootton, Francis Harkins, Nicholas T. Bronn, Almudena Carrera Vazquez, Anna Phan, Abraham T. Asfaw
2020 C conf
CoG
James R. Wootton
2020 J jnl
CoRR
James R. Wootton
2020 C conf
FDG
James R. Wootton
2020 J jnl
CoRR
James R. Wootton
2018 J jnl
CoRR
David C. McKay, Thomas Alexander, Luciano Bello, Michael J. Biercuk, Lev S. Bishop, Jiayin Chen, Jerry M. Chow, Antonio D. Córcoles, Daniel J. Egger, Stefan Filipp, Juan Gomez, Michael R. Hush, Ali Javadi-Abhari, Diego Moreda, Paul D. Nation, Brent Paulovicks, Erick Winston, Christopher J. Wood, James R. Wootton, Jay M. Gambetta
2018 A conf
DATE
Yehuda Naveh, Elham Kashefi, James R. Wootton, Koen Bertels
2015 J jnl
Entropy
James R. Wootton
2009 conf
QPL@MFPS
James R. Wootton, Jiannis K. Pachos
2009 conf
TCQ
James R. Wootton, Ville Lahtinen, Jiannis K. Pachos
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)));