Chang-Chih Chen

21 papers A 1C 2Misc 2Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Eur. J. Oper. Res.
Chang-Chih Chen, Chia-Chien Chang, Edward W. Sun, Min-Teh Yu
2020 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Rui Zhang, Taizhi Liu, Kexin Yang, Chang-Chih Chen, Linda Milor
2018 J jnl
IEEE Trans. Emerg. Top. Comput.
Taizhi Liu, Chang-Chih Chen, Linda Milor
2016 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Woongrae Kim, Chang-Chih Chen, Dae Hyun Kim, Linda Milor
2016 C conf
ICCD
Taizhi Liu, Chang-Chih Chen, Jiadong Wu, Linda S. Milor
2016 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Chang-Chih Chen, Taizhi Liu, Linda Milor
2015 conf
ISQED
Taizhi Liu, Chang-Chih Chen, Linda S. Milor
2015 J jnl
Microelectron. Reliab.
Taizhi Liu, Chang-Chih Chen, Woongrae Kim, Linda Milor
2015 conf
IWASI
Woongrae Kim, Chang-Chih Chen, Taizhi Liu, Soonyoung Cha, Linda Milor
2015 Misc conf
VTS
Woongrae Kim, Chang-Chih Chen, Soonyoung Cha, Linda Milor
2015 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Chang-Chih Chen, Linda S. Milor
2015 J jnl
Microprocess. Microsystems
Chang-Chih Chen, Taizhi Liu, Soonyoung Cha, Linda S. Milor
2015 J jnl
Microelectron. Reliab.
Taizhi Liu, Chang-Chih Chen, Soonyoung Cha, Linda Milor
2014 J jnl
IEEE Trans. Very Large Scale Integr. Syst.
Muhammad Muqarrab Bashir, Chang-Chih Chen, Linda Milor, Dae Hyun Kim, Sung Kyu Lim
2014 Misc conf
VTS
Soonyoung Cha, Chang-Chih Chen, Taizhi Liu, Linda S. Milor
2014 J jnl
Microelectron. J.
Chang-Chih Chen, Muhammad Bashir, Linda S. Milor, Daehyun Kim, Sung Kyu Lim
2013 J jnl
Microelectron. Reliab.
Chang-Chih Chen, Fahad Ahmed, Linda Milor
2013 A conf
DATE
Chang-Chih Chen, Linda Milor
2013 conf
IWASI
Chang-Chih Chen, Linda Milor
2012 C conf
ICCD
Chang-Chih Chen, Fahad Ahmed, Linda Milor
2012 J jnl
Microelectron. Reliab.
Chang-Chih Chen, Fahad Ahmed, Dae Hyun Kim, Sung Kyu Lim, Linda Milor
redb/extractors/js_extractors/js_content.py
← Index redb/extractors/js_extractors/js_content.py python
"""Persists raw + normalised text into the generic `code_text_content` table.

Reads the raw source and the deobfuscation result directly from the shared
JSContext so no extra compute happens here — both values are computed once
per sample (the source at JSContext construction, the deobfuscation lazily
on first access) and reused by any extractor that needs them.

`text_normalized` is left NULL when the deobfuscation pass produced no
output, so analysts can distinguish "we tried and got nothing" from
"normalisation succeeded".
"""

import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor


class JSContentExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.content_row = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_CONTENT.value

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, normalizer_used = self._context.deobfuscated

        self.content_row = {
            "content_type": self._context.content_type,
            "text_raw": src,
            "text_normalized": deobfuscated,  # may be None
            "normalizer_used": normalizer_used,  # may be None
        }
        return self.content_row

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type != "ClickHouseExporter":
            return None
        if not self.content_row:
            return None

        r = self.content_row
        data = [[
            self.sha256,
            r["content_type"],
            r["text_raw"],
            r["text_normalized"],
            r["normalizer_used"],
            datetime.now(timezone.utc),
        ]]

        column_names = [
            "sha256",
            "content_type",
            "text_raw",
            "text_normalized",
            "normalizer_used",
            "analysis_date",
        ]

        column_type_names = [
            "FixedString(64)",
            "LowCardinality(String)",
            "String",
            "Nullable(String)",
            "Nullable(String)",
            "DateTime64(3, 'UTC')",
        ]

        return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_text_content"