Vikram Jadhao

16 papers A 1B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 conf
SC Workshops
Aymen Alsaadi, Tianle Wang, Andrew Park, Pradeep Bajracharya, Linwei Wang, Fanbo Sun, Sudip Seal, Vikram Jadhao, Geoffrey C. Fox, Shantenu Jha
2022 J jnl
IEEE Trans. Parallel Distributed Syst.
J. C. S. Kadupitiya, Vikram Jadhao, Prateek Sharma
2022 J jnl
Mach. Learn. Sci. Technol.
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
2021 J jnl
CoRR
J. C. S. Kadupitiya, Nasim Anousheh, Vikram Jadhao
2021 B conf
CLOUD
Prateek Sharma, Vikram Jadhao
2021 J jnl
CoRR
Prateek Sharma, Vikram Jadhao
2020 conf
EduHPC@SC
Vikram Jadhao, J. C. S. Kadupitiya
2020 J jnl
CoRR
Vikram Jadhao, J. C. S. Kadupitiya
2020 J jnl
Int. J. High Perform. Comput. Appl.
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
2020 J jnl
J. Comput. Sci.
J. C. S. Kadupitiya, Fanbo Sun, Geoffrey C. Fox, Vikram Jadhao
2020 A conf
HPDC
J. C. S. Kadupitige, Vikram Jadhao, Prateek Sharma
2020 J jnl
CoRR
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
2019 conf
IPDPS Workshops
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
2019 J jnl
CoRR
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
2019 conf
ICCS (2)
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
2019 J jnl
CoRR
Prateek Sharma, J. C. S. Kadupitiya, Vikram Jadhao
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