Ilya G. Goldberg

18 papers Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2015 conf
BIBM
Wei Du, Huey Cheung, Calvin A. Johnson, Ilya G. Goldberg, Madhav Thambisetty, Kevin Becker
2012 J jnl
Mach. Vis. Appl.
Nikita Orlov, D. Mark Eckley, Lior Shamir, Ilya G. Goldberg
2010 J jnl
IEEE Trans. Inf. Technol. Biomed.
Nikita Orlov, Wayne W. Chen, D. Mark Eckley, Tomasz J. Macura, Lior Shamir, Elaine S. Jaffe, Ilya G. Goldberg
2010 J jnl
ACM Trans. Appl. Percept.
Lior Shamir, Tomasz J. Macura, Nikita Orlov, D. Mark Eckley, Ilya G. Goldberg
2010 J jnl
PLoS Comput. Biol.
Lior Shamir, John D. Delaney, Nikita Orlov, D. Mark Eckley, Ilya G. Goldberg
2010 J jnl
EURASIP J. Bioinform. Syst. Biol.
Lior Shamir, Salim Rahimi, Nikita Orlov, Luigi Ferrucci, Ilya G. Goldberg
2009 J jnl
Int. J. Biom.
Lior Shamir, Shari M. Ling, Salim Rahimi, Luigi Ferrucci, Ilya G. Goldberg
2009 conf
IPCV
Lior Shamir, Nikita Orlov, Ilya G. Goldberg
2009 J jnl
IEEE Trans. Biomed. Eng.
Lior Shamir, Shari M. Ling, William W. Scott, Angelo Bos, Nikita Orlov, Tomasz J. Macura, D. Mark Eckley, Luigi Ferrucci, Ilya G. Goldberg
2009 J jnl
Bioinform.
Lior Shamir, Catherine A. Wolkow, Ilya G. Goldberg
2008 J jnl
Medical Biol. Eng. Comput.
Lior Shamir, Nikita Orlov, D. Mark Eckley, Tomasz J. Macura, Ilya G. Goldberg
2008 J jnl
Pattern Recognit. Lett.
Nikita Orlov, Lior Shamir, Tomasz J. Macura, Josiah Johnston, D. Mark Eckley, Ilya G. Goldberg
2008 J jnl
Source Code Biol. Medicine
Lior Shamir, Nikita Orlov, D. Mark Eckley, Tomasz J. Macura, Josiah Johnston, Ilya G. Goldberg
2006 conf
ISBI
Josiah Johnston, Arpun Nagaraja, Harry Hochheiser, Ilya G. Goldberg
2006 conf
ISBI
Nikita Orlov, Josiah Johnston, Tomasz J. Macura, Catherine A. Wolkow, Ilya G. Goldberg
2006 conf
ISBI
Harry Hochheiser, Ilya G. Goldberg
2005 conf
CSB Workshops
Ilya G. Goldberg
2005 conf
CSB Workshops
Harry Hochheiser, Ilya G. Goldberg
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)));