C. S. Sastry

24 papers C 2Misc 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Signal Process. Lett.
Akash Sen, C. S. Sastry
2025 Misc conf
ICASSP
Akash Sen, Pradyumna Pradhan, Ramunaidu Randhi, C. S. Sastry
2024 Misc conf
ICASSP
Akash Sen, Pradyumna Pradhan, Ramunaidu Randhi, C. S. Sastry
2023 conf
CVIP (3)
Shantam Gulati, Phanindra Jampana, C. S. Sastry
2023 J jnl
Digit. Signal Process.
K. Z. Najiya, C. S. Sastry
2021 conf
CVIP (1)
Himanshu Kandiyal, C. S. Sastry
2021 conf
PReMI
K. Z. Najiya, C. S. Sastry
2021 conf
ICMC
K. Z. Najiya, Munnu Sonkar, C. S. Sastry
2020 J jnl
IEEE Trans. Green Commun. Netw.
M. Amarlingam, K. V. V. Durga Prasad, Pachamuthu Rajalakshmi, Sumohana S. Channappayya, C. S. Sastry
2020 J jnl
CoRR
K. Z. Najiya, Munnu Sonkar, C. S. Sastry
2019 J jnl
J. Complex.
Pradip Sasmal, Phanindra Jampana, C. S. Sastry
2019 J jnl
IEEE Trans. Biomed. Eng.
Sandeep Chandra Bollepalli, C. S. Sastry, Soumya Jana
2018 J jnl
J. Netw. Comput. Appl.
M. Amarlingam, Pradeep Kumar Mishra, Pachamuthu Rajalakshmi, Sumohana S. Channappayya, C. S. Sastry
2018 J jnl
CoRR
Sandeep Chandra Bollepalli, C. S. Sastry, Soumya Jana
2017 conf
CinC
Sandeep Chandra Bollepalli, C. S. Sastry, Soumya Jana, Shivnarayan Patidar
2016 J jnl
IEEE Trans. Signal Process.
R. Ramu Naidu, Phanindra Jampana, C. S. Sastry
2016 conf
ICVGIP Workshops
Theeda Prasad, P. U. Praveen Kumar, C. S. Sastry, P. V. Jampana
2016 conf
CinC
Sandeep Chandra Bollepalli, C. S. Sastry, Soumya Jana
2015 J jnl
Neurocomputing
M. Srinivas, R. Ramu Naidu, C. S. Sastry, C. Krishna Mohan
2015 J jnl
CoRR
R. Ramu Naidu, C. S. Sastry, Phanindra Jampana
2015 J jnl
CoRR
Pradip Sasmal, R. Ramu Naidu, C. S. Sastry, Phanindra Jampana
2015 C conf
IWCIA
Theeda Prasad, P. U. Praveen Kumar, C. S. Sastry, P. V. Jampana
2014 C conf
Healthcom
Sandeep Chandra Bollepalli, C. S. Sastry, Soumya Jana
2008 conf
ICVGIP
C. S. Sastry
redb/extractors/js_extractors/js_deobfuscation.py
← Index redb/extractors/js_extractors/js_deobfuscation.py python
import hashlib
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import PATTERNS

# String literals of 4+ characters; only used by the deobfuscation diff to count
# strings revealed after deobfuscation. Compiled once at module load.
_STRING_LITERAL_4PLUS_RE = re.compile(r"[\"\']([^\"\']{4,})[\"\']")


class JSDeobfuscationExtractor(JSExtractor):
    """Compute pre/post-deobfuscation metrics for a JS sample.

    The actual deobfuscation pass (external tool with jsbeautifier fallback)
    lives on `JSContext.deobfuscated` and is cached per sample, so any other
    extractor that needs the deobfuscated text reads the same value without
    re-running the subprocess. Configure the external tool via env vars:
        JS_DEOBFUSCATOR_PATH    Path or name (default: webcrack)
        JS_DEOBFUSCATE_TIMEOUT  Seconds (default: 60)
    """

    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.deobfuscation_result = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

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

        deobfuscated, deobfuscator_used = self._context.deobfuscated
        if deobfuscated is None:
            return None

        original_size = len(src)
        original_entropy = self._context.text_entropy
        deobfuscated_size = len(deobfuscated)
        deobfuscated_entropy = self._calculate_text_entropy(deobfuscated)
        size_change_ratio = round(deobfuscated_size / original_size, 4) if original_size else 0.0

        # Strings revealed by deobfuscation: matched literals are extracted from
        # both versions and the set difference is the count of "new" strings.
        original_strings = set(_STRING_LITERAL_4PLUS_RE.findall(src))
        deobfuscated_strings = set(_STRING_LITERAL_4PLUS_RE.findall(deobfuscated))
        new_strings = deobfuscated_strings - original_strings

        # Suspicious APIs revealed by deobfuscation. Both sides of the diff
        # come from JSContext caches: the raw scan is computed once for the
        # whole pipeline; the deobfuscated scan is computed once and reused
        # by JSSuspiciousAPIsExtractor's revealed_by_deobf rows.
        original_apis = {n for n in self._context.scan if n in PATTERNS}
        deobfuscated_apis = set(self._context.scan_deobfuscated)
        new_apis = deobfuscated_apis - original_apis

        deobfuscated_sha256 = hashlib.sha256(deobfuscated.encode('utf-8')).hexdigest()

        self.deobfuscation_result = {
            'deobfuscator_used': deobfuscator_used,
            'deobfuscation_successful': True,
            'original_size': original_size,
            'deobfuscated_size': deobfuscated_size,
            'size_change_ratio': size_change_ratio,
            'original_entropy': original_entropy,
            'deobfuscated_entropy': deobfuscated_entropy,
            'new_strings_found': len(new_strings),
            'new_apis_found': len(new_apis),
            'deobfuscated_sha256': deobfuscated_sha256,
        }
        return self.deobfuscation_result

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

            r = self.deobfuscation_result
            current_time = datetime.now(timezone.utc)
            data = [[
                self.sha256,
                r['deobfuscator_used'],
                int(r['deobfuscation_successful']),
                r['original_size'],
                r['deobfuscated_size'],
                r['size_change_ratio'],
                r['original_entropy'],
                r['deobfuscated_entropy'],
                r['new_strings_found'],
                r['new_apis_found'],
                r['deobfuscated_sha256'],
                current_time,
            ]]

            column_names = [
                "sha256", "deobfuscator_used", "deobfuscation_successful",
                "original_size", "deobfuscated_size", "size_change_ratio",
                "original_entropy", "deobfuscated_entropy",
                "new_strings_found", "new_apis_found",
                "deobfuscated_sha256", "analysis_date",
            ]

            column_type_names = [
                "FixedString(64)", "LowCardinality(String)", "UInt8",
                "UInt64", "UInt64", "Float64",
                "Float64", "Float64",
                "UInt32", "UInt32",
                "FixedString(64)", "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

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