Madushanka Soysa

13 papers B 3Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2016 J jnl
IEEE Trans. Commun.
Madushanka Soysa, Pamela C. Cosman, Laurence B. Milstein
2016 conf
CNS
Madushanka Soysa, Pamela C. Cosman, Laurence B. Milstein
2015
Madushanka Soysa
2014 conf
ICC
Madushanka Soysa, Nandana Rajatheva, Matti Latva-aho
2014 J jnl
IEEE Trans. Commun.
Madushanka Soysa, Pamela C. Cosman, Laurence B. Milstein
2013 conf
GlobalSIP
Madushanka Soysa, Pamela C. Cosman, Laurence B. Milstein
2012 J jnl
IEEE Trans. Commun.
Madushanka Soysa, Himal A. Suraweera, Chintha Tellambura, Hari Krishna Garg
2012 conf
ICC
Chintha Tellambura, Yamuna Dhungana, Madushanka Soysa
2011 B conf
WCNC
Madushanka Soysa, Himal A. Suraweera, Chintha Tellambura, Hari Krishna Garg
2011 B conf
WCNC
Madushanka Soysa, Himal A. Suraweera, Chintha Tellambura, Hari Krishna Garg
2011 J jnl
IEEE Commun. Lett.
Chintha Tellambura, Madushanka Soysa, Damith Senaratne
2010 J jnl
IEEE Signal Process. Lett.
Himal A. Suraweera, Madushanka Soysa, Chintha Tellambura, Hari Krishna Garg
2010 B conf
WCNC
Prasanna Kalansuriya, Madushanka Soysa, Chintha Tellambura
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