Kasim Terzic

36 papers A 1B 2C 2Misc 3Journal 11Unranked 16
YearRankTypeTitle / Venue / Authors
2026 conf
VISAPP (2)
Charis Hanna, Kasim Terzic, Mark James, Karen Spencer
2025 J jnl
CoRR
Halid Abdulrahim Kadi, Kasim Terzic
2025 conf
CASE
Halid Abdulrahim Kadi, Jose Alex Chandy, Luis Figueredo, Kasim Terzic, Praminda Caleb-Solly
2025 J jnl
CoRR
Halid Abdulrahim Kadi, Kasim Terzic
2024 J jnl
CoRR
Halid Abdulrahim Kadi, Jose Alex Chandy, Luis Figueredo, Kasim Terzic, Praminda Caleb-Solly
2024 Misc conf
CoRL
Halid Abdulrahim Kadi, Kasim Terzic
2024 conf
SII
Halid Abdulrahim Kadi, Kasim Terzic
2023 J jnl
Sensors
Halid Abdulrahim Kadi, Kasim Terzic
2023 J jnl
CoRR
Halid Abdulrahim Kadi, Kasim Terzic
2021 conf
VISIGRAPP (5: VISAPP)
Daniel Koudouna, Kasim Terzic
2020 conf
PervasiveHealth
Ai Jiang, Miguel A. Nacenta, Kasim Terzic, Juan Ye
2019 conf
CEP
Gintare Zemaityte, Kasim Terzic
2017 J jnl
Biosyst.
Mário Saleiro, Kasim Terzic, J. M. F. Rodrigues, J. M. Hans du Buf
2017 J jnl
CoRR
Kasim Terzic, Miles E. Hansard
2017 conf
HCI (7)
Kasim Terzic, J. M. Hans du Buf
2017 J jnl
Image Vis. Comput.
Kasim Terzic, Sai Krishna, J. M. Hans du Buf
2016 J jnl
Signal Process. Image Commun.
Kasim Terzic, Miles E. Hansard
2015 conf
GCPR
Kasim Terzic, Sai Krishna, J. M. Hans du Buf
2015 J jnl
Neurocomputing
Kasim Terzic, João M. F. Rodrigues, J. M. Hans du Buf
2015 conf
HCI (8)
Mário Saleiro, Miguel Farrajota, Kasim Terzic, Sai Krishna, João M. F. Rodrigues, J. M. Hans du Buf
2015 A conf
BMVC
Kasim Terzic, Hussein Adnan Mohammed, J. M. Hans du Buf
2014 conf
ICONIP (1)
Kasim Terzic, David Lobato, Mário Saleiro, J. M. Hans du Buf
2014 B conf
ICIP
Kasim Terzic, J. M. Hans du Buf
2014 conf
ICIAR (2)
Mário Saleiro, Kasim Terzic, David Lobato, João M. F. Rodrigues, J. M. Hans du Buf
2014 C conf
ICANN
Oliver Lomp, Kasim Terzic, Christian Faubel, J. M. Hans du Buf, Gregor Schöner
2013 conf
HCI (6)
Mário Saleiro, Miguel Farrajota, Kasim Terzic, João M. F. Rodrigues, J. M. Hans du Buf
2013 C conf
ICVS
Kasim Terzic, David Lobato, Mário Saleiro, Jaime A. Martins, Miguel Farrajota, João M. F. Rodrigues, J. M. Hans du Buf
2013 B conf
ICIP
Kasim Terzic, João M. F. Rodrigues, J. M. Hans du Buf
2013 conf
BIOSIGNALS
J. M. Hans du Buf, Kasim Terzic, João M. F. Rodrigues
2013 Misc conf
IbPRIA
Kasim Terzic, João M. F. Rodrigues, J. M. Hans du Buf
2011
Kasim Terzic
2010 conf
IFIP AI
Bernd Neumann, Kasim Terzic
2010 conf
ICAART (1)
Kasim Terzic, Lothar Hotz, Jan Sochman
2008 J jnl
Image Vis. Comput.
Peer Stelldinger, Kasim Terzic
2008 Misc conf
KI
Lothar Hotz, Bernd Neumann, Kasim Terzic
2007 conf
BMI
Kasim Terzic, Lothar Hotz, Bernd Neumann
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"