Carolyn A. Lin

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Theor. Appl. Electron. Commer. Res.
Huai-Kuan Zeng, Carolyn A. Lin
2022 J jnl
Telematics Informatics
Ye Chen, Carolyn A. Lin
2017 J jnl
Internet Res.
Carolyn A. Lin, Xiaowen Xu
2017 J jnl
Telematics Informatics
Tai-Yee Wu, Carolyn A. Lin
2016 J jnl
Comput. Hum. Behav.
Carolyn A. Lin, Tonghoon Kim
2015 J jnl
Comput. Hum. Behav.
Carolyn A. Lin, David J. Atkin, Celeste Cappotto, Carrie Davis, Julie Dean, Jennifer Eisenbaum, Kenyetta House, Robert Lange, Alexandra Merceron, Jacqueline Metzger, Ariane Mitchum, Heidi Nicholls, Simona Vidican
2014 J jnl
Comput. Hum. Behav.
Daniel S. Hunt, Carolyn A. Lin, David J. Atkin
2013 J jnl
Telematics Informatics
Yi Mou, David J. Atkin, Hanlong Fu, Carolyn A. Lin, T. Y. Lau
2009 J jnl
Telematics Informatics
Charles G. C. Feng, T. Y. Lau, David J. Atkin, Carolyn A. Lin
2008 J jnl
Telematics Informatics
Carolyn A. Lin
2006 J jnl
J. Comput. Mediat. Commun.
Leo W. Jeffres, Carolyn A. Lin
2004 J jnl
Cyberpsychology Behav. Soc. Netw.
Indeok Song, Robert LaRose, Matthew S. Eastin, Carolyn A. Lin
2004 J jnl
Telematics Informatics
Leo W. Jeffres, David J. Atkin, Kimberly A. Neuendorf, Carolyn A. Lin
2002 J jnl
Telematics Informatics
Carolyn A. Lin
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