Ramanpreet Singh

11 papers Misc 4Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
J. Exp. Theor. Artif. Intell.
Vimal Kumar Pathak, Swati Gangwar, Ramanpreet Singh, Ashish Kumar Srivastava, Mithilesh K. Dikshit
2024 J jnl
Appl. Intell.
Debaditya Chakraborty, Ayush Rathi, Ramanpreet Singh
2023 J jnl
Robotics Auton. Syst.
Ramanpreet Singh, Vimal Kumar Pathak, Abhishek Sharma, Debaditya Chakraborty, Kuldeep K. Saxena, C. Prakash, Dharam Buddhi, Karrar hazim Salem
2023 J jnl
Robotics Auton. Syst.
Debaditya Chakraborty, Ayush Rathi, Ramanpreet Singh, Vimal Kumar Pathak, Ashish Kumar Srivastava, Abhishek Sharma, Kuldeep K. Saxena, Gaurav Kumar, Sandeep Kumar
2022 J jnl
Robotics Auton. Syst.
Pradumn Mishra, Urja Jain, Siddharth Choudhury, Surjeet Singh, Anish Pandey, Abhishek Sharma, Ramanpreet Singh, Vimal Kumar Pathak, Kuldeep K. Saxena, Anita Gehlot
2021 J jnl
Neural Comput. Appl.
Debaditya Chakraborty, Ayush Rathi, Ramanpreet Singh, Vimal Kumar Pathak, Kailash Chaudhary, Himanshu Chaudhary
2020 J jnl
Neural Comput. Appl.
Vimal Kumar Pathak, Chitresh Nayak, Ramanpreet Singh, Mithilesh K. Dikshit, Tarun Sai
2017 Misc conf
ICCS
Ramanpreet Singh, Ali A. Ghorbani
2017 Misc conf
CISS
Roya Norouzi Kandalan, Ramanpreet Singh, Kamesh Namuduri, Murali R. Varanasi, Bill P. Buckles
2016 Misc conf
IRI
Ramanpreet Singh, Gurpreet Singh Mohaar
2015 Misc conf
ISKE
Gurpreet Mohaar, Muhtasim Maleque, Ramanpreet Singh
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