Oliver Kolb

26 papers Misc 2Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Math. Methods Oper. Res.
Pia Domschke, Oliver Kolb, Jens Lang
2020 J jnl
CoRR
Simone Göttlich, Oliver Kolb, Kerstin Lux
2020 J jnl
CoRR
Eike Fokken, Tillmann Mühlpfordt, Timm Faulwasser, Simone Göttlich, Oliver Kolb
2020 J jnl
J. Comput. Phys.
Louisa Schlachter, Florian Schneider, Oliver Kolb
2019 J jnl
SIAM J. Sci. Comput.
Jan Friedrich, Oliver Kolb
2019 J jnl
CoRR
Louisa Schlachter, Florian Schneider, Oliver Kolb
2018 J jnl
Networks Heterog. Media
Jan Friedrich, Oliver Kolb, Simone Göttlich
2018 J jnl
J. Sci. Comput.
Oliver Kolb
2018 J jnl
Proc. VLDB Endow.
Magnus Müller, Guido Moerkotte, Oliver Kolb
2018 J jnl
Appl. Math. Comput.
Alexander Naumann, Oliver Kolb, Matteo Semplice
2018 J jnl
SIAM J. Appl. Math.
Oliver Kolb, Guillaume Costeseque, Paola Goatin, Simone Göttlich
2017 J jnl
Networks Heterog. Media
Oliver Kolb, Simone Göttlich, Paola Goatin
2015 J jnl
Eur. J. Oper. Res.
Oliver Kolb, Simone Göttlich
2015 J jnl
Appl. Math. Comput.
Pia Domschke, Oliver Kolb, Jens Lang
2015 conf
ENUMATH
Oliver Kolb
2015 conf
ENUMATH
Lisa Wagner, Jens Lang, Oliver Kolb
2014 J jnl
SIAM J. Numer. Anal.
Oliver Kolb
2014 J jnl
Networks Heterog. Media
Simone Göttlich, Oliver Kolb, Sebastian Kühn
2011 ch.
Computational Optimization and Applications in Engineering and Industry
Pia Domschke, Oliver Kolb, Jens Lang
2011 J jnl
Int. J. Math. Model. Numer. Optimisation
Pia Domschke, Oliver Kolb, Jens Lang
2011 J jnl
INFORMS J. Comput.
Pia Domschke, Björn Geißler, Oliver Kolb, Jens Lang, Alexander Martin, Antonio Morsi
2011 J jnl
Math. Methods Oper. Res.
Björn Geißler, Oliver Kolb, Jens Lang, Günter Leugering, Alexander Martin, Antonio Morsi
2010 Misc conf
ICCS
Pia Domschke, Oliver Kolb, Jens Lang
2010 J jnl
Numer. Algorithms
Oliver Kolb, Jens Lang, Pia Bales
2010 Misc conf
ICCS
Oliver Kolb, Pia Domschke, Jens Lang
2009 conf
ICCS (1)
Pia Bales, Oliver Kolb, Jens Lang
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