Catherine Feldman

11 papers C 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2024 conf
PEARC
Joshua Ezekiel Martin, Catherine Feldman, Alan C. Calder, Tony Curtis, Eva Siegmann, David Carlson, Raul Gonzalez, Daniel G. Wood, Robert J. Harrison, Firat Coskun
2024 J jnl
CoRR
Joshua Ezekiel Martin, Catherine Feldman, Eva Siegmann, Tony Curtis, David Carlson, Firat Coskun, Daniel G. Wood, Raul Gonzalez, Robert J. Harrison, Alan C. Calder
2023 conf
PEARC
Catherine Feldman, Smeet Chheda, Alan C. Calder, Eva Siegmann, John Dey, Tony Curtis, Robert J. Harrison
2023 J jnl
CoRR
Catherine Feldman, Smeet Chheda, Alan C. Calder, Eva Siegmann, John Dey, Tony Curtis, Robert J. Harrison
2023 J jnl
CoRR
Alan C. Calder, Eva Siegmann, Catherine Feldman, Smeet Chheda, Dennis C. Smolarski, F. Douglas Swesty, Anthony Curtis, John Dey, David Carlson, Benjamin Michalowicz, Robert J. Harrison
2022 conf
HPC Asia Workshops
Catherine Feldman, Benjamin Michalowicz, Eva Siegmann, Tony Curtis, Alan C. Calder, Robert J. Harrison
2022 C conf
CLUSTER
Alan C. Calder, Catherine Feldman, Eva Siegmann, John Dey, Anthony Curtis, Smeet Chheda, Robert J. Harrison
2022 J jnl
CoRR
Alan C. Calder, Catherine Feldman, Eva Siegmann, John Dey, Anthony Curtis, Smeet Chheda, Robert J. Harrison
2021 conf
EduHPC@SC
Eva Siegmann, Alan C. Calder, Catherine Feldman, Robert J. Harrison
2021 conf
PEARC
Andrew Burford, Alan C. Calder, David Carlson, Barbara M. Chapman, Firat Coskun, Tony Curtis, Catherine Feldman, Robert J. Harrison, Yan Kang, Benjamin Michalowicz, Eric Raut, Eva Siegmann, Daniel G. Wood, Robert L. DeLeon, Mathew Jones, Nikolay Simakov, Joseph P. White, Dossay Oryspayev
2021 J jnl
CoRR
Andrew Burford, Alan C. Calder, David Carlson, Barbara M. Chapman, Firat Coskun, Tony Curtis, Catherine Feldman, Robert J. Harrison, Yan Kang, Benjamin Michalowicz, Eric Raut, Eva Siegmann, Daniel G. Wood, Robert L. DeLeon, Mathew Jones, Nikolay A. Simakov, Joseph P. White, Dossay Oryspayev
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)));