Mahnoosh Mehrabani

17 papers A 6Misc 5Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2025 conf
EMNLP (Findings)
Jason S. Lucas, Ali Al-Lawati, Mahjabin Nahar, John Chen, Mahnoosh Mehrabani
2021 conf
NAACL-HLT (Industry Papers)
Ryan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen, Yanjie Zhao, Srinivas Bangalore
2020 Misc conf
ICASSP
Ryan Price, Mahnoosh Mehrabani, Srinivas Bangalore
2018 conf
NAACL-HLT (3)
Mahnoosh Mehrabani, David Thomson, Benjamin Stern
2015 J jnl
Int. J. Speech Technol.
Mahnoosh Mehrabani, John H. L. Hansen
2015 A conf
INTERSPEECH
Mahnoosh Mehrabani, Ozlem Kalinli, Ruxin Chen
2015 conf
WF-IoT
Mahnoosh Mehrabani, Srinivas Bangalore, Benjamin Stern
2013 A conf
INTERSPEECH
Mahnoosh Mehrabani, John H. L. Hansen
2013 J jnl
Speech Commun.
Mahnoosh Mehrabani, John H. L. Hansen
2013 A conf
INTERSPEECH
Mahnoosh Mehrabani, Taniya Mishra, Alistair Conkie
2012 A conf
INTERSPEECH
Mahnoosh Mehrabani, Joseph Tepperman, Emily Nava
2012 A conf
INTERSPEECH
Mahnoosh Mehrabani, John H. L. Hansen
2011 Misc conf
ICASSP
Mahnoosh Mehrabani, John H. L. Hansen
2011 Misc conf
ICASSP
Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen
2010 Misc conf
ICASSP
Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen
2010 Misc conf
ICASSP
Mahnoosh Mehrabani, Hynek Boril, John H. L. Hansen
2008 A conf
INTERSPEECH
Mahnoosh Mehrabani, John H. L. Hansen
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