Van Loi Cao

22 papers A 1B 1Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2024 conf
KSE
Van Hoan Do, Thi Le Vuong, Van Loi Cao, Thi Phuong Lan Tran, Tien Dung Pham, Van Dinh Bui
2024 J jnl
Int. J. Wirel. Inf. Networks
Nga Nguyen Thi, Anh Huy Phan, Van Loi Cao, Pham Thanh Hiep
2023 conf
ICCAIS
Huu Noi Nguyen, Nguyen Ngoc Tran, Van Loi Cao
2023 conf
KSE
Van Loi Cao, Manh Tuan Nguyen, Trang Dang Le Dinh
2022 J jnl
SN Comput. Sci.
Huu Noi Nguyen, Nguyen Ngoc Tran, Tuan Hao Hoang, Van Loi Cao
2022 J jnl
IEEE Trans. Cybern.
Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
2021 conf
RIVF
Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao
2021 conf
FDSE
Huu Noi Nguyen, Van Cuong Nguyen, Nguyen Ngoc Tran, Van Loi Cao
2020 conf
FDSE
Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao
2019 conf
KSE
Cong Thanh Bui, Van Loi Cao, Minh Hoang, Quang Uy Nguyen
2019 conf
ICC
Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
2019 J jnl
IEEE Trans. Cybern.
Van Loi Cao, Miguel Nicolau, James McDermott
2018 J jnl
CoRR
Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac
2018 conf
SoICT
Thi Huong Chu, Quang Uy Nguyen, Van Loi Cao
2017 J jnl
CoRR
Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac
2017 J jnl
CoRR
Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott
2017 conf
GECCO (Companion)
Van Loi Cao, Miguel Nicolau, James McDermott
2017 J jnl
Trans. Large Scale Data Knowl. Centered Syst.
Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac
2016 A conf
PPSN
Van Loi Cao, Miguel Nicolau, James McDermott
2016 conf
FDSE
Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac
2016 conf
EvoApplications (1)
Van Loi Cao, Nhien-An Le-Khac, Michael O'Neill, Miguel Nicolau, James McDermott
2016 B conf
EuroGP
Van Loi Cao, Miguel Nicolau, James McDermott
redb/extractors/decompiler/bninja/analysis/scores.py
← Index redb/extractors/decompiler/bninja/analysis/scores.py python
from collections import deque
from binaryninja import highlevelil
from binaryninja.enums import HighLevelILOperation


class ObfuscationScores:
    def __init__(self, hlil_function):
        self.function = hlil_function
        self._basic_blocks = list(hlil_function.basic_blocks) if hlil_function and hlil_function.basic_blocks else []
        self._block_count = len(self._basic_blocks)

    def flattened_score(self):
        """
        A heuristic for detecting control flow flattening from Tim Blazytko.
        Source: https://www.synthesis.to/2021/03/03/flattening_detection.html
        """
        if self._block_count == 0:
            return 0.0

        max_flattening_ratio = 0.0

        for basic_block in self._basic_blocks:
            dominated = get_dominated_by(basic_block)
            if not any(edge.source in dominated for edge in basic_block.incoming_edges):
                continue
            ratio = len(dominated) / self._block_count
            if ratio > max_flattening_ratio:
                max_flattening_ratio = ratio

        return max_flattening_ratio

    def MBA_score(self):
        """
        Score for MBA is obtained by the number of instructions that have at least one arithmetic operation and
        one logic operation DIVIDED by the number of instructions.
        """
        total = 0
        mba_count = 0

        for ins in self.function.instructions:
            total += 1
            if uses_mba(ins):
                mba_count += 1

        if total == 0:
            return 0.0

        return mba_count / total

def get_dominated_by(dominator):
    """
    Get the dominators that are dominated by the given dominator.
    (To recall the theory, a basic block B is called dominator for A if every path from START
    to A must include B)
    """
    result = set()
    worklist = deque([dominator])

    while worklist:
        block = worklist.popleft()
        if block in result:
            continue
        result.add(block)
        worklist.extend(block.dominator_tree_children)

    return result

_ARITHMETIC_OPS = frozenset({
    HighLevelILOperation.HLIL_ADD,
    HighLevelILOperation.HLIL_NEG,
    HighLevelILOperation.HLIL_SUB,
    HighLevelILOperation.HLIL_MUL,
    HighLevelILOperation.HLIL_DIVS,
    HighLevelILOperation.HLIL_MODS,
})

_LOGIC_OPS = frozenset({
    HighLevelILOperation.HLIL_NOT,
    HighLevelILOperation.HLIL_AND,
    HighLevelILOperation.HLIL_OR,
    HighLevelILOperation.HLIL_XOR,
    HighLevelILOperation.HLIL_LSR,
    HighLevelILOperation.HLIL_LSL,
})

_MBA_OPS = _ARITHMETIC_OPS | _LOGIC_OPS

def uses_mba(hlil_instruction):
    uses_logic = False
    uses_arithmetic = False
    stack = [hlil_instruction]

    while stack:
        instruction = stack.pop()

        if not isinstance(instruction, highlevelil.HighLevelILInstruction):
            continue

        op = instruction.operation

        if op not in _MBA_OPS:
            for operand in instruction.operands:
                if isinstance(operand, highlevelil.HighLevelILInstruction):
                    stack.append(operand)
            continue

        if op in _ARITHMETIC_OPS:
            uses_arithmetic = True
        else:
            uses_logic = True

        if uses_logic and uses_arithmetic:
            return True

        for operand in instruction.operands:
            if isinstance(operand, highlevelil.HighLevelILInstruction):
                stack.append(operand)

    return False