Xiang Yu

20 papers B 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Appl. Intell.
Min Li, Zhifang Qi, Shaobo Deng, Lei Wang, Xiang Yu
2025 J jnl
Appl. Soft Comput.
Min Li, Rutun Cao, Chen Jin, Junke Wang, Shaobo Deng, Xiang Yu
2024 J jnl
Comput. Biol. Medicine
Min Li, Zihao Chen, Shaobo Deng, Lei Wang, Xiang Yu
2023 J jnl
Knowl. Based Syst.
Min Li, Lin Ke, Lei Wang, Shaobo Deng, Xiang Yu
2023 conf
CyberC
Yi Zhang, Xiang Yu, Kaiwen Xu
2023 conf
BIC-TA (1)
Yi Zhang, Xiang Yu, Kaiwen Xu
2023 J jnl
Pattern Anal. Appl.
Lin Ke, Min Li, Lei Wang, Shaobo Deng, Jun Ye, Xiang Yu
2021 J jnl
Comput. Intell. Neurosci.
Xiang Yu, Yu Qiao
2020 J jnl
Eur. J. Oper. Res.
Gang Xu, Kun Luo, Guoxiu Jing, Xiang Yu, Xiaojun Ruan, Jun Song
2020 J jnl
Complex.
Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang
2019 J jnl
Int. J. Comput. Sci. Eng.
Xiang Yu, Hui Wang, Hui Sun
2019 J jnl
Int. J. Comput. Intell. Syst.
Lei Wang, Min Li, Jun Ye, Xiang Yu, Ziqi Wang, Shaobo Deng
2018 J jnl
Inf.
Xiang Yu, Claudio Estevez
2017 J jnl
Soft Comput.
Hui Wang, Xinyu Zhou, Hui Sun, Xiang Yu, Jia Zhao, Hai Zhang, Laizhong Cui
2017 J jnl
Inf. Sci.
Hui Wang, Wenjun Wang, Xinyu Zhou, Hui Sun, Jia Zhao, Xiang Yu, Zhihua Cui
2016 conf
ICCCS (2)
Wenjun Wang, Hui Wang, Hui Sun, Xiang Yu, Jia Zhao, Yun Wang, Yunhui Zhang, Jinyong Zheng, Yueping Lu, Qianya Chen, Chuanbo Han, Haoping Xie
2016 B conf
CEC
Hui Wang, Wenjun Wang, Hui Sun, Jia Zhao, Xiang Yu, Li Lv, Huasheng Zhu
2016 J jnl
Int. J. Comput. Sci. Math.
Hui Sun, Kun Wang, Jia Zhao, Xiang Yu
2016 J jnl
J. Inf. Hiding Multim. Signal Process.
Jia Zhao, Xuefeng Fu, Li Lv, RunXiu Wu, Hui Wang, Xiang Yu, Tanghuai Fan
2014 J jnl
Appl. Math. Comput.
Xiang Yu, Xueqing Zhang
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