Ioannis K. Dassios

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2019 J jnl
Symmetry
Ioannis K. Dassios
2018 J jnl
J. Comput. Appl. Math.
Ioannis K. Dassios
2018 J jnl
Appl. Math. Comput.
Ioannis K. Dassios, Dumitru Baleanu
2018 J jnl
CoRR
Joseph D. O'Brien, Ioannis K. Dassios, James P. Gleeson
2018 J jnl
Symmetry
Ioannis K. Dassios
2017 J jnl
Circuits Syst. Signal Process.
Ioannis K. Dassios
2016 J jnl
Appl. Math. Comput.
Ioannis K. Dassios, Krzysztof J. Szajowski
2015 conf
System Modelling and Optimization
Ioannis K. Dassios, Krzysztof J. Szajowski
2015 J jnl
SIAM J. Sci. Comput.
Ioannis K. Dassios, Kimon Fountoulakis, Jacek Gondzio
2015 J jnl
Circuits Syst. Signal Process.
Ioannis K. Dassios
2015 J jnl
Comput. Math. Appl.
Ioannis K. Dassios
2014 J jnl
Appl. Math. Comput.
Ioannis K. Dassios, Dumitru Baleanu, Grigoris I. Kalogeropoulos
2013 J jnl
Circuits Syst. Signal Process.
Ioannis K. Dassios, Grigoris I. Kalogeropoulos
2012 J jnl
Circuits Syst. Signal Process.
Ioannis K. Dassios
2012 J jnl
Appl. Math. Comput.
Ioannis K. Dassios
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"