Manabu Sawada

13 papers C 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2020 J jnl
Int. J. Intell. Transp. Syst. Res.
Hideaki Nanba, Manabu Sawada, Koji Oguri
2019 C conf
IV
Hideaki Nanba, Takeo Kawai, Manabu Sawada, Md. Shoaib Bhuiyan, Koji Oguri
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hideaki Nanba, Yukihito Ikami, Kenichiro Imai, Kenji Kobayashi, Manabu Sawada
2018 J jnl
Int. J. Autom. Technol.
Kenichi Nakanishi, Manabu Sawada, Jiro Sakamoto
2017 J jnl
Int. J. Autom. Technol.
Yuki Yamada, Takashi Kadota, Shinya Sakata, Junji Tachibana, Kenichi Nakanishi, Manabu Sawada, Yasuhiro Kakinuma
2015 J jnl
Int. J. Autom. Technol.
Kenichi Nakanishi, Manabu Sawada, Jiro Sakamoto
2015 conf
WF-IoT
Keisuke Hirose, Koji Ishibashi, Yasushi Yamao, Yasuhiro Hirayama, Manabu Sawada
2014 conf
ICECS
Tomohito Terasawa, Yuji Kamiya, Hiroyuki Kawashima, Kenichiro Imai, Masanobu Suzuki, Takamoto Watanabe, Nobuyuki Taguchi, Manabu Sawada, Yu Hou, Yoshiyuki Hirooka, Hong Phuc Ninh, Masaya Miyahara, Akira Matsuzawa
2013 conf
WiVeC
Le Tien Trien, Hideki Sugawara, Huiting Cheng, Yasushi Yamao, Yasuhiro Hlrayama, Manabu Sawada
2012 J jnl
BMC Medical Informatics Decis. Mak.
Masako Okamoto, Yasushi Kyutoku, Manabu Sawada, Lester Clowney, Eiju Watanabe, Ippeita Dan, Keiko Kawamoto
2011 C conf
APCC
Takahiro Furuyama, Yasuhiro Hirayama, Manabu Sawada
2006 J jnl
IEICE Trans. Commun.
Manabu Sawada, Hiraku Okada, Takaya Yamazato, Masaaki Katayama
2005 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Ryota Kimura, Ryuhei Funada, Hiroshi Harada, Manabu Sawada, Shoji Shinoda
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)));