Ollivier Tamarin

12 papers Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Henrique D. Silva, Sávio C. Bezerra, Maxence Rube, Jalberth Fernandes de Araújo, Martine Sebeloue, Raimundo C. S. Freire, Ollivier Tamarin
2025 conf
I2MTC
Dailan de Jesus Pereira Bernardes, Ewaldo Eder Carvalho Santana, Raimundo Carlos Silvério Freire, Paulo Fernandes da Silva Júnior, Ollivier Tamarin
2024 J jnl
Sensors
Maxence Rube, Ollivier Tamarin, Asawari Choudhari, Martine Sebeloue, Dominique Rebière, Corinne Dejous
2023 J jnl
Sensors
Wejdene Gongi, Maxence Rube, Hafedh Ben Ouada, Hatem Ben Ouada, Ollivier Tamarin, Corinne Dejous
2023 conf
SENSORS
Asawari Choudhari, Thomas Vignol, Jean-Luc Lachaud, Maxence Rube, Idris Sadli, Martine Sebeloue, Raphaël Delépée, Ollivier Tamarin, Corinne Dejous
2022 conf
IEEE SENSORS
Asawari Choudhari, Maxence Rube, Idris Sadli, Martine Sebeloue, Ollivier Tamarin, Corinne Dejous
2021 conf
IEEE SENSORS
Maxence Rube, Ollivier Tamarin, Simon Hemour, Martine Sebeloue, Asawari Choudhari, Idris Sadli, Laurent Linguet, Dominique Rebière, Corinne Dejous
2020 conf
IEEE SENSORS
Maxence Rube, Ollivier Tamarin, Martine Sebeloue, Hamida Hallil, Laurent Linguet, Dominique Rebière, Corinne Dejous
2020 J jnl
Sensors
Ollivier Tamarin, Maxence Rube, Jean-Luc Lachaud, Vincent Raimbault, Dominique Rebière, Corinne Dejous
2019 conf
IEEE SENSORS
Maxence Rube, Corinne Dejous, Ollivier Tamarin, Hamida Hallil, Veronique Conedera, Adrian Laborde, Jean-Luc Lachaud, Martine Sebeloue, Laurent Linguet, Dominique Rebière
2018 conf
IEEE SENSORS
Hamida Hallil, Maxence Rube, Ollivier Tamarin, Emmanuel Flahaut, Q. Zhang, Jean-Luc Lachaud, Philippe Coquet, Dominique Rebière, C. Deious
2017 conf
IEEE SENSORS
Ollivier Tamarin, Wassim Ouelhazi, Jean-Luc Lachaud, Hamida Hallil, Vincent Raimbault, Cédric Boissière, Marie-Paule Bonnet, Dominique Rebière, Corinne Dejous
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