Vincent Schmithorst

15 papers B 1Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2019 Misc conf
AMIA
Jenna Schabdach, Vincent Schmithorst, Vince Lee, Rafael Ceschin, Ashok Panigrahy
2018 Misc conf
AMIA
Jenna Schabdach, Rafael Ceschin, Vince Lee, Vincent Schmithorst, Ashok Panigrahy
2010 J jnl
NeuroImage
Prasanna Karunanayaka, Vincent Schmithorst, Jennifer Vannest, Jerzy P. Szaflarski, Elena Plante, Scott K. Holland
2009 J jnl
IEEE Trans. Biomed. Eng.
Lejian Huang, Elizabeth A. Thompson, Vincent Schmithorst, Scott K. Holland, Thomas M. Talavage
2007 J jnl
NeuroImage
Prasanna Karunanayaka, Scott K. Holland, Vincent Schmithorst, Ana Solodkin, E. Elinor Chen, Jerzy P. Szaflarski, Elena Plante
2007 conf
ISBI
Lejian Huang, Elizabeth A. Thompson, Scott K. Holland, Vincent Schmithorst, Thomas M. Talavage
2007 J jnl
NeuroImage
Vincent Schmithorst, Scott K. Holland
2006 J jnl
NeuroImage
Marko Wilke, Vincent Schmithorst
2006 J jnl
NeuroImage
Vincent Schmithorst, Scott K. Holland, Elena Plante
2006 J jnl
NeuroImage
Vincent Schmithorst, Scott K. Holland
2005 B conf
Image Processing
Junmei Zhong, Bernard Dardzinski, Scott K. Holland, Janaka P. Wansapura, Vincent Schmithorst
2004 conf
ISBI
Elizabeth A. Thompson, Scott K. Holland, Vincent Schmithorst
2003 J jnl
J. Exp. Theor. Artif. Intell.
John Bickle, Malcolm Avison, Vincent Schmithorst, Anthony Landreth, Scott K. Holland
2002 conf
ICIP (3)
Elizabeth A. Thompson, Scott K. Holland, Vincent Schmithorst
2001 J jnl
IEEE Trans. Medical Imaging
Vincent Schmithorst, Bernard J. Dardzinski, Scott K. Holland
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