Vinay Gautam

16 papers B 2C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Biomed. Signal Process. Control.
Raj Gaurang Tiwari, Alok Misra, Shikha Maheshwari, Vinay Gautam, Puneet Sharma, Naresh Kumar Trivedi
2025 J jnl
Multim. Tools Appl.
Vinay Gautam, Anand Muni Mishra, Pabhjot Kaur, Mukund Pratap Singh, Prabhishek Singh, Manoj Diwakar, Indrajeet Gupta
2025 J jnl
IEEE Access
Vinay Gautam, Gaganpreet Kaur, Meena Malik, Ankush Pawar, Akansha Singh, Krishna Kant Singh, Sameh S. Askar, Mohamed Abouhawwash
2024 J jnl
Multim. Tools Appl.
Vinay Gautam, Ranjeet Kumar Ranjan, Priyanka Dahiya, Anil Kumar
2024 J jnl
Multim. Tools Appl.
Prabhjot Kaur, Shilpi Harnal, Vinay Gautam, Mukund Pratap Singh, Santar Pal Singh
2024 J jnl
Multim. Tools Appl.
Prabhjot Kaur, Shilpi Harnal, Vinay Gautam, Mukund Pratap Singh, Santar Pal Singh
2023 J jnl
J. Ambient Intell. Humaniz. Comput.
Prabhjot Kaur, Shilpi Harnal, Vinay Gautam, Mukund Pratap Singh, Santar Pal Singh
2023 J jnl
Comput. Syst. Sci. Eng.
Vinay Gautam, Naresh Kumar Trivedi, Abhineet Anand, Rajeev Tiwari, Atef Zaguia, Deepika Koundal, Sachin Jain
2022 J jnl
Intell. Autom. Soft Comput.
Anand Muni Mishra, Shilpi Harnal, Khalid Mohiuddin, Vinay Gautam, Osman Nasr, Nitin Goyal, Mamdooh Alwetaishi, Aman Singh
2022 J jnl
Eng. Appl. Artif. Intell.
Prabhjot Kaur, Shilpi Harnal, Vinay Gautam, Mukund Pratap Singh, Santar Pal Singh
2021 J jnl
Sensors
Naresh Kumar Trivedi, Vinay Gautam, Abhineet Anand, Hani Moaiteq Aljahdali, Santos Gracia Villar, Divya Anand, Nitin Goyal, Seifedine Nimer Kadry
2021 conf
ISIC
Anand Muni Mishra, Vinay Gautam
2016 B conf
ENASE
N. Parimala, Vinay Gautam
2012 J jnl
Int. J. Metadata Semant. Ontologies
Vinay Gautam, N. Parimala
2011 B conf
ENASE
N. Parimala, Vinay Gautam
2010 C conf
KEOD
N. Parimala, Vinay Gautam
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