Mahdi Pakdaman Naeini

15 papers A* 2A 3C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2018 J jnl
Knowl. Inf. Syst.
Mahdi Pakdaman Naeini, Gregory F. Cooper
2018 J jnl
IEEE Trans. Vis. Comput. Graph.
Michael Glueck, Mahdi Pakdaman Naeini, Finale Doshi-Velez, Fanny Chevalier, Azam Khan, Daniel Wigdor, Michael Brudno
2017 J jnl
CoRR
Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper
2016 A conf
SDM
Mahdi Pakdaman Naeini, Gregory F. Cooper
2016 A* conf
ICDM
Mahdi Pakdaman Naeini, Gregory F. Cooper
2015 A conf
SDM
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2015 J jnl
CoRR
Mahdi Pakdaman Naeini, Gregory F. Cooper
2015 A* conf
AAAI
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014 A conf
SDM
Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht
2014 J jnl
CoRR
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014 J jnl
CoRR
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014 J jnl
Neurocomputing
Mahdi Pakdaman Naeini, Behzad Moshiri, Babak Nadjar Araabi, Mehdi Sadeghi
2011 C conf
IAS
Hamid Reza Taremian, Mahdi Pakdaman Naeini
2010 conf
CISIM
Mahdi Pakdaman Naeini, Hamid Reza Taremian, Homa Baradaran Hashemi
2009 conf
SoCPaR
Homa Baradaran Hashemi, Azadeh Shakery, Mahdi Pakdaman Naeini
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