Natalya Shakhovska

29 papers B 1C 4Misc 6Journal 3Unranked 13
YearRankTypeTitle / Venue / Authors
2025 conf
SMARTINDUSTRY
Volodymyr Iatsyshyn, Natalya Shakhovska, Sviatoslav Shainoha
2023 J jnl
Int. J. Comput.
Natalya Shakhovska, Nataliia Melnykova, Petro Pobereiko, Maryana Zakharchuk
2022 J jnl
i-com
Sophie Schauer, Stefano Bertocci, Federico Cioli, Jürgen Sieck, Natalya Shakhovska, Olena Vovk
2022 conf
CMIS
Natalya Shakhovska, Nataliia Melnykova
2022 B conf
KES
Vitaliy Yakovyna, Natalya Shakhovska
2022 conf
ACIT
Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss
2021 Misc ed.
CSIT
Natalya Shakhovska, Mykola O. Medykovskyy
2021 conf
IT&AS
Anna Shilinh, Pavlo Zhezhnych, Natalya Shakhovska
2021 conf
DEXA (1)
Natalya Shakhovska, Vitaliy Yakovyna
2021 conf
ProfIT AI
Natalya Shakhovska, Oleksii Shamuratov
2021 ed.
IT&AS
Natalya Shakhovska, Solomiia Fedushko, Natalia Kryvinska, Michal Gregus
2021 conf
IT&AS
Oleh Basystiuk, Natalya Shakhovska, Violetta Bilynska, Oleksij Syvokon, Oleksii Shamuratov, Volodymyr Kuchkovskiy
2021 C conf
IDDM
Natalya Shakhovska, Ihor Darmoriz, Yaroslav Vyklyuk, Yurii Kryvenchuk, Pavlo Pukach
2020 Misc ed.
CSIT
Natalya Shakhovska, Mykola O. Medykovskyy
2020 conf
DEXA (1)
Natalya Shakhovska, Vitaliy Yakovyna, Natalia Kryvinska
2020 C conf
IDDM
Vitaliy Yakovyna, Natalya Shakhovska, Khrystyna Shakhovska, Jaime Campos
2020 C conf
IDDM
Askold Kucher, Oksana Boyko, Kateryna Ilkanych, Andriy Fechana, Natalya Shakhovska
2020 C conf
IDDM
Nataliia Melnykova, Natalya Shakhovska, Volodymyr Melnykov, Mykola Logoyda, Yulia Peleshchak
2019 conf
CSIT (2)
Volodymyr Kuchkovskiy, Natalya Shakhovska
2019 conf
COAPSN
Natalya Shakhovska, Oksana Peleshchyshyn, Zhanna Myna, Tetiana Bilushchak
2019 ed.
CMIS
David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva
2018 conf
IREHI
Natalya Shakhovska
2017 conf
CSIT (1)
Maksym Arzubov, Natalya Shakhovska, Piotr Lipinski
2017 Misc conf
CSIT
Natalya Shakhovska, Lilia Nych, Roman Kaminskyi
2017 conf
CSIT (1)
Natalya Shakhovska
2016 Misc conf
CSIT
Natalya Shakhovska, Oleksii Shamuratov
2015 Misc conf
CSIT
Natalya Shakhovska, Oleh Veres, Yurii Bolubash, Liliana Bychkovska-Lipinska
2015 Misc conf
CSIT
Natalya Shakhovska, Iryna Shvorob
2013 J jnl
Int. J. Comput.
Yuriy Bobalo, Bohdan A. Mandziy, Petro Stakhiv, Natalya Shakhovska
tests/unit/test_decompile_scores.py
← Index tests/unit/test_decompile_scores.py python
"""Unit tests for bninja/analysis/scores.py — ObfuscationScores."""
import sys
import pytest
from unittest.mock import MagicMock

# Install binaryninja stubs before importing
from tests.unit.conftest_binja_stubs import (
    install_binja_stubs,
    HighLevelILOperation,
)
bn_mock = install_binja_stubs()

from redb.extractors.decompiler.bninja.analysis.scores import (
    ObfuscationScores,
    get_dominated_by,
    uses_mba,
)
import binaryninja.highlevelil as hlil_mod


# ============================================================================
# Helper: Mock HLIL instruction
# ============================================================================

class MockHLILInstruction(hlil_mod.HighLevelILInstruction):
    """Mock HLIL instruction with operation and operands."""
    def __init__(self, operation, operands=None):
        self.operation = operation
        self.operands = operands or []


class MockHLILBasicBlock:
    """Mock HLIL basic block for flattened score testing."""
    def __init__(self, incoming_edges=None, dominator_tree_children=None):
        self.incoming_edges = incoming_edges or []
        self.dominator_tree_children = dominator_tree_children or []


# ============================================================================
# 5a. ObfuscationScores
# ============================================================================


class TestFlattenedScore:
    def test_flattened_score_no_back_edges(self):
        """Linear CFG with no back edges -> score 0.0."""
        block = MockHLILBasicBlock(incoming_edges=[], dominator_tree_children=[])
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == 0.0

    def test_flattened_score_with_loop(self):
        """CFG with a back edge -> score > 0.0."""
        block = MockHLILBasicBlock(dominator_tree_children=[])
        # Create a back edge: an incoming edge whose source is in the dominated set
        edge = MagicMock()
        edge.source = block  # source IS the dominator -> back edge
        block.incoming_edges = [edge]
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() > 0.0

    def test_flattened_score_fully_flat(self):
        """Flattened CFG: one block dominates all -> ratio close to 1.0."""
        children = [MockHLILBasicBlock() for _ in range(4)]
        root = MockHLILBasicBlock(dominator_tree_children=children)
        # Back edge from root incoming
        edge = MagicMock()
        edge.source = root
        root.incoming_edges = [edge]
        all_blocks = [root] + children
        func = MagicMock()
        func.basic_blocks = all_blocks
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == pytest.approx(1.0)


class TestMBAScore:
    def test_mba_score_no_mixed_ops(self):
        """Instructions with only arithmetic -> score 0.0."""
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        func = MagicMock()
        func.instructions = [instr]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 0.0

    def test_mba_score_mixed_ops(self):
        """Instructions with arithmetic + logic -> score > 0.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_ADD, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() > 0.0

    def test_mba_score_all_mixed(self):
        """Every instruction has both -> score 1.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_NOT, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_SUB, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 1.0


class TestGetDominatedBy:
    def test_get_dominated_by(self):
        child1 = MockHLILBasicBlock(dominator_tree_children=[])
        child2 = MockHLILBasicBlock(dominator_tree_children=[])
        root = MockHLILBasicBlock(dominator_tree_children=[child1, child2])
        result = get_dominated_by(root)
        assert root in result
        assert child1 in result
        assert child2 in result
        assert len(result) == 3


class TestUsesMBA:
    def test_uses_mba_arithmetic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_logic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_mixed(self):
        inner = MockHLILInstruction(HighLevelILOperation.HLIL_AND, operands=[])
        outer = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[inner])
        assert uses_mba(outer) is True