Ohin Kwon

31 papers Journal 31
YearRankTypeTitle / Venue / Authors
2024 J jnl
NeuroImage
Mun Bae Lee, Geon-Ho Jahng, Ohin Kwon
2021 J jnl
NeuroImage
Geon-Ho Jahng, Mun Bae Lee, Hyung Joong Kim, Eung Je Woo, Ohin Kwon
2019 J jnl
IEEE Trans. Medical Imaging
Nitish Katoch, Bup Kyung Choi, Saurav Z. K. K. Sajib, EunAh Lee, Hyung Joong Kim, Ohin Kwon, Eung Je Woo
2019 J jnl
IEEE Trans. Medical Imaging
Ji Ae Park, Eung Je Woo, Kyeung Jun Kang, In Ok Ko, Kyo Chul Lee, Bup Kyung Choi, Nitish Katoch, Jin Woong Kim, Hyung Joong Kim, Ohin Kwon
2018 J jnl
NeuroImage
Mun Bae Lee, Yeon Hyang Kim, Geon-Ho Jahng, Ohin Kwon
2017 J jnl
IEEE Trans. Medical Imaging
Woo Chul Jeong, Saurav Z. K. K. Sajib, Nitish Katoch, Hyung Joong Kim, Ohin Kwon, Eung Je Woo
2017 J jnl
IEEE Trans. Biomed. Eng.
Saurav Z. K. K. Sajib, Nitish Katoch, Hyung Joong Kim, Ohin Kwon, Eung Je Woo
2016 J jnl
IEEE Trans. Biomed. Eng.
Ohin Kwon, Saurav Z. K. K. Sajib, Igor Sersa, Tong In Oh, Woo Chul Jeong, Hyung Joong Kim, Eung Je Woo
2015 J jnl
IEEE Trans. Medical Imaging
Dong-Hyun Kim, Munish Chauhan, Min-Oh Kim, Woo Chul Jeong, Hyung Joong Kim, Igor Sersa, Ohin Kwon, Eung Je Woo
2014 J jnl
IEEE Trans. Biomed. Eng.
Woo Chul Jeong, Saurav Z. K. K. Sajib, Hyung Joong Kim, Ohin Kwon
2013 J jnl
NeuroImage
Ohin Kwon, Eung Je Woo, Yiping P. Du, Dosik Hwang
2013 J jnl
Comput. Math. Methods Medicine
Chunjae Park, Ohin Kwon
2013 J jnl
Comput. Math. Methods Medicine
Zi Jun Meng, Saurav Z. K. K. Sajib, Munish Chauhan, Rosalind J. Sadleir, Hyung Joong Kim, Ohin Kwon, Eung Je Woo
2012 J jnl
IEEE Trans. Medical Imaging
Jin Keun Seo, Min-Oh Kim, Joonsung Lee, Narae Choi, Eung Je Woo, Hyung Joong Kim, Ohin Kwon, Dong-Hyun Kim
2012 J jnl
Pattern Recognit.
Chi Young Ahn, Yoon Mo Jung, Ohin Kwon, Jin Keun Seo
2012 J jnl
J. Appl. Math.
Ohin Kwon, Chunjae Park
2010 J jnl
IEEE Trans. Medical Imaging
Hyun Soo Nam, Ohin Kwon
2009 J jnl
IEEE Trans. Medical Imaging
Ohin Kwon, Chunjae Park, Hyun Soo Nam, Eung Je Woo, Jin Keun Seo, Kevin J. Glaser, Armando Manduca, Richard L. Ehman
2006 J jnl
IEEE Trans. Medical Imaging
Suk Ho Lee, Jin Keun Seo, Chunjae Park, Byung Il Lee, Eung Je Woo, Soo Yeol Lee, Ohin Kwon, Jooyoung Hahn
2006 J jnl
Comput. Math. Appl.
Ohin Kwon, Hyunchan Pyo, Jin Keun Seo, Eung Je Woo
2005 J jnl
IEEE Trans. Biomed. Eng.
Byung Il Lee, Suk Ho Lee, Tae-Seong Kim, Ohin Kwon, Eung Je Woo, Jin Keun Seo
2004 J jnl
IEEE Trans. Biomed. Eng.
Jin Keun Seo, Ohin Kwon, Habib Ammari, Eung Je Woo
2004 J jnl
IEEE Trans. Medical Imaging
Chunjae Park, Ohin Kwon, Eung Je Woo, Jin Keun Seo
2004 J jnl
SIAM J. Appl. Math.
Habib Ammari, Ohin Kwon, Jin Keun Seo, Eung Je Woo
2003 J jnl
IEEE Trans. Biomed. Eng.
Ohin Kwon, Jeong-Rock Yoon, Jin Keun Seo, Eung Je Woo, Young Gu Cho
2003 J jnl
IEEE Trans. Biomed. Eng.
Jin Keun Seo, Jeong-Rock Yoon, Eung Je Woo, Ohin Kwon
2002 J jnl
IEEE Trans. Medical Imaging
Hyan Soo Khang, Byung Il Lee, Suk Hoon Oh, Eung Je Woo, Soo Yeol Lee, Min Hyoung Cho, Ohin Kwon, Jeong-Rock Yoon, Jin Keun Seo
2002 J jnl
SIAM J. Appl. Math.
Jin Keun Seo, Ohin Kwon, Sungwhan Kim
2002 J jnl
IEEE Trans. Biomed. Eng.
Ohin Kwon, Eung Je Woo, Jeong-Rock Yoon, Jin Keun Seo
2002 J jnl
SIAM J. Math. Anal.
Sungwhan Kim, Ohin Kwon, Jin Keun Seo, Jeong-Rock Yoon
2001 J jnl
Appl. Math. Comput.
Ohin Kwon
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)));