Carmine Granata

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Sensors
Antonio Vettoliere, Carmine Granata
2024 J jnl
Sensors
Michele Ambrosanio, Emahnuel Troisi Lopez, Arianna Polverino, Roberta Minino, Lorenzo Cipriano, Antonio Vettoliere, Carmine Granata, Laura Mandolesi, Giuseppe Curcio, Giuseppe Sorrentino, Pierpaolo Sorrentino
2023 J jnl
NeuroImage
Pierpaolo Sorrentino, Emahnuel Troisi Lopez, Antonella Romano, Carmine Granata, Marie-Constance Corsi, Giuseppe Sorrentino, Viktor K. Jirsa
2023 J jnl
Sensors
Antonio Vettoliere, Carmine Granata
2022 J jnl
Brain Connect.
Rosaria Rucco, Anna Lardone, Marianna Liparoti, Emahnuel Troisi Lopez, Rosa De Micco, Alessandro Tessitore, Carmine Granata, Laura Mandolesi, Giuseppe Sorrentino, Pierpaolo Sorrentino
2020 J jnl
Soft Comput.
Berardo Ruggiero, Umberto Amato, B. Franco, L. De Petrocellis, Antonio Vettoliere, Carmine Granata, S. Silvestrini, Carmela Bonavolontà, Massimo Valentino, Jessica Brocchieri, Paolo Silvestrini
2020 J jnl
Adv. Intell. Syst.
Giuseppe Nasti, Sara Coppola, Veronica Vespini, Simonetta Grilli, Antonio Vettoliere, Carmine Granata, Pietro Ferraro
2019 J jnl
Sensors
Carmela Bonavolontà, Massimo Valentino, Francesco Penta, Carmine Granata, Berardo Ruggiero, Paolo Silvestrini, Antonio Vettoliere
2019 J jnl
Sensors
Antonio Vettoliere, Berardo Ruggiero, Massimo Valentino, Paolo Silvestrini, Carmine Granata
2018 conf
Sensors
Carmine Granata, Antonio Vettoliere, Oliviero Talamo, Paolo Silvestrini, Rosaria Rucco, Pierpaolo Sorrentino, Francesca Jacini, Fabio Baselice, Marianna Liparoti, Anna Lardone, Giuseppe Sorrentino
2016 conf
Sensors
Carmine Granata, Berardo Ruggiero, Oliviero Talamo, Matteo Fretto, Natascia De Leo, Vincenzo Lacquaniti, Davide Massarotti, Francesco Tafuri, P. Silbestrini, Antonio Vettoliere
2014 J jnl
Sensors
Sara Rombetto, Carmine Granata, Antonio Vettoliere, Maurizio Russo
2007 J jnl
Open Syst. Inf. Dyn.
Sara Rombetto, Yurii N. Ovchinnikov, Valentina Corato, Paolo Silvestrini, Emanuela Esposito, Carmine Granata, Maurizio Russo, Roberto Russo, Berardo Ruggiero
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