Ma'mon Abu Hammad

30 papers Journal 16Unranked 14
YearRankTypeTitle / Venue / Authors
2025 conf
ICIT
Waseem Ghazi Alshanti, Ma'mon Abu Hammad, Hamza Alzaareer, Hassan Al-Zoubi, Ahmad Alshanty
2025 J jnl
Algorithms
Ma'mon Abu Hammad, Imane Zouak, Adel Ouannas, Giuseppe Grassi
2025 conf
ICIT
Tawfiq Jallad, Ma'mon Abu Hammad
2025 conf
ICIT
Adel Sufyan Hussain, Zedan Z. Mashikhin, Naaman Omar Yaseen, Ma'mon Abu Hammad, Emad A. Az-Zo'bi, Mohammad A. Tashtoush
2025 conf
ICIT
Muthanna Subhi Sulaiman, Adel Sufyan Hussain, Ma'mon Abu Hammad, Mohammad A. Tashtoush, Emad A. Az-Zo'bi, Rana Noaman Abbas
2025 J jnl
Symmetry
Rami Alkhateeb, Ma'mon Abu Hammad, Basma AL-Shutnawi, Nabil Laiche, Zouaoui Chikr Elmezouar
2025 J jnl
Comput. Math. Methods
Issam Bendib, Ma'mon Abu Hammad, Adel Ouannas, Giuseppe Grassi
2025 J jnl
J. Appl. Math.
Waseem Ghazi Alshanti, Ma'mon Abu Hammad, Roshdi Khalil
2024 J jnl
Comput.
Hani Mahmoud Almimi, Ma'mon Abu Hammad, Ghadeer Farraj, Issam Bendib, Adel Ouannas
2024 J jnl
Symmetry
Hussein Al-Taani, Ma'mon Abu Hammad, Mohammad Abudayah, Louiza Diabi, Adel Ouannas
2024 J jnl
Symmetry
Ma'mon Abu Hammad, Rami Alkhateeb, Nabil Laiche, Adel Ouannas, Shameseddin Alshorm
2024 J jnl
Comput.
Ma'mon Abu Hammad, Issam Bendib, Waseem Ghazi Alshanti, Ahmad Alshanty, Adel Ouannas, Amel Hioual, Shaher Momani
2024 J jnl
Symmetry
Othman Abdullah Almatroud, Ma'mon Abu Hammad, Amer Dababneh, Louiza Diabi, Adel Ouannas, Amina-Aicha Khennaoui, Saleh Alshammari
2024 J jnl
Symmetry
Hussein Al-Taani, Ma'mon Abu Hammad, Mohammad Abudayah, Louiza Diabi, Adel Ouannas
2024 J jnl
Symmetry
Ma'mon Abu Hammad, Louiza Diabi, Amer Dababneh, Amjed Zraiqat, Shaher Momani, Adel Ouannas, Amel Hioual
2024 J jnl
J. Appl. Math.
Ma'mon Abu Hammad, Waseem Ghazi Alshanti, Ahmad Alshanty, Roshdi Khalil
2024 J jnl
Axioms
Roshdi Khalil, Abdelrahman Yousef, Waseem Ghazi Alshanti, Ma'mon Abu Hammad
2023 conf
ICIT
Ma'mon Abu Hammad, Maysoon Mustafa Mohmmad Qousini, Zakrea Mohmmad Rabab'h
2023 conf
ICIT
Ma'mon Abu Hammad, Hassan Al-Zoubi, Azezah Al Abdallah
2023 conf
ICIT
Siham Ali Abrikah, Ghadeer Farraj, Ma'mon Abu Hammad
2023 conf
ICIT
Sondos Rasem, Amjed M. Zraiqat, Waseem Ghazi Alshanti, Abdulkarim Farah, Ma'mon Abu Hammad
2023 conf
ICIT
Ma'mon Abu Hammad, Azezah Al Abdallah, Siham Ali Abrikah, Ghadeer Farraj
2023 conf
ICIT
Afaf Mohammad Al Sous, Ma'mon Abu Hammad
2023 J jnl
Symmetry
Saima Noor, Ma'mon Abu Hammad, Rasool Shah, Albandari W. Alrowaily, Samir A. El-Tantawy
2023 J jnl
Symmetry
Humaira Yasmin, Ma'mon Abu Hammad, Rasool Shah, Badriah M. Alotaibi, Sherif M. E. Ismaeel, Samir A. El-Tantawy
2023 conf
ICIT
Afaf Mohammad Al Sous, Ma'mon Abu Hammad
2023 J jnl
Symmetry
Hassan Al-Zoubi, Tareq Hamadneh, Ma'mon Abu Hammad, Mutaz Al-Sabbagh, Mehmet Özdemir
2021 conf
ICIT
Amer Dababneh, Ma'mon Abu Hammad, Amjed Zreqat, Bilal Albarmawi, Siham Ali Abrikah
2021 conf
ICIT
Iqbal H. Jebril, Ma'mon Abu Hammad, Eman Nouh, Rahaf Hamidi, Yousef Dalahmeh, Salemah Almutlak
2021 conf
ICIT
Ma'mon Abu Hammad, Iqbal H. Jebril, Duha AbuJudeh, Yousef Dalahmeh, Siham Ali Abrikah
redb/extractors/decompiler/bninja/analysis/cfg.py
← Index redb/extractors/decompiler/bninja/analysis/cfg.py python
from binaryninja.enums import LowLevelILOperation as LLIL_OP

# Support both package and standalone imports
try:
    from . import cfg_features
except ImportError:
    from redb.extractors.decompiler.bninja.analysis import cfg_features


# ---------------------------------------------------------------------------
# Task 2.2: Build LLIL operation maps at import time using real enum values
# ---------------------------------------------------------------------------

# Prime product map: LLIL operation integer value -> small prime
cfg_features.LLIL_OP_PRIMES = {
    # SET_REG, SET_REG_SPLIT
    LLIL_OP.LLIL_SET_REG.value: 2,
    LLIL_OP.LLIL_SET_REG_SPLIT.value: 2,
    # SET_FLAG
    LLIL_OP.LLIL_SET_FLAG.value: 3,
    # LOAD
    LLIL_OP.LLIL_LOAD.value: 5,
    # STORE
    LLIL_OP.LLIL_STORE.value: 7,
    # PUSH, POP
    LLIL_OP.LLIL_PUSH.value: 11,
    LLIL_OP.LLIL_POP.value: 13,
    # CALL, TAILCALL, SYSCALL
    LLIL_OP.LLIL_CALL.value: 17,
    LLIL_OP.LLIL_TAILCALL.value: 17,
    LLIL_OP.LLIL_SYSCALL.value: 19,
    # RET, NORET
    LLIL_OP.LLIL_RET.value: 23,
    LLIL_OP.LLIL_NORET.value: 23,
    # IF, GOTO
    LLIL_OP.LLIL_IF.value: 29,
    LLIL_OP.LLIL_GOTO.value: 31,
    # ADD, SUB
    LLIL_OP.LLIL_ADD.value: 37,
    LLIL_OP.LLIL_SUB.value: 41,
    # AND, OR, XOR
    LLIL_OP.LLIL_AND.value: 43,
    LLIL_OP.LLIL_OR.value: 47,
    LLIL_OP.LLIL_XOR.value: 53,
    # LSL, LSR, ASR, ROL, ROR
    LLIL_OP.LLIL_LSL.value: 59,
    LLIL_OP.LLIL_LSR.value: 61,
    LLIL_OP.LLIL_ASR.value: 67,
    LLIL_OP.LLIL_ROL.value: 71,
    LLIL_OP.LLIL_ROR.value: 73,
    # MUL, DIVU, DIVS, MODU, MODS
    LLIL_OP.LLIL_MUL.value: 79,
    LLIL_OP.LLIL_DIVU.value: 83,
    LLIL_OP.LLIL_DIVS.value: 83,
    LLIL_OP.LLIL_MODU.value: 89,
    LLIL_OP.LLIL_MODS.value: 89,
    # NEG, NOT
    LLIL_OP.LLIL_NEG.value: 97,
    LLIL_OP.LLIL_NOT.value: 101,
    # CMP_E, CMP_NE, CMP_SLT, CMP_ULT, CMP_SLE, CMP_ULE
    # CMP_SGT, CMP_UGT, CMP_SGE, CMP_UGE
    LLIL_OP.LLIL_CMP_E.value: 103,
    LLIL_OP.LLIL_CMP_NE.value: 103,
    LLIL_OP.LLIL_CMP_SLT.value: 107,
    LLIL_OP.LLIL_CMP_ULT.value: 107,
    LLIL_OP.LLIL_CMP_SLE.value: 109,
    LLIL_OP.LLIL_CMP_ULE.value: 109,
    LLIL_OP.LLIL_CMP_SGT.value: 113,
    LLIL_OP.LLIL_CMP_UGT.value: 113,
    LLIL_OP.LLIL_CMP_SGE.value: 127,
    LLIL_OP.LLIL_CMP_UGE.value: 127,
    # NOP
    LLIL_OP.LLIL_NOP.value: 1,
    # SX, ZX, LOW_PART, BOOL_TO_INT
    LLIL_OP.LLIL_SX.value: 131,
    LLIL_OP.LLIL_ZX.value: 137,
    LLIL_OP.LLIL_LOW_PART.value: 139,
    LLIL_OP.LLIL_BOOL_TO_INT.value: 149,
    # JUMP, JUMP_TO
    LLIL_OP.LLIL_JUMP.value: 151,
    LLIL_OP.LLIL_JUMP_TO.value: 151,
}

# Category map: LLIL operation integer value -> category index
_ARITHMETIC = {
    LLIL_OP.LLIL_ADD, LLIL_OP.LLIL_ADC, LLIL_OP.LLIL_SUB, LLIL_OP.LLIL_SBB,
    LLIL_OP.LLIL_MUL, LLIL_OP.LLIL_MULU_DP, LLIL_OP.LLIL_MULS_DP,
    LLIL_OP.LLIL_DIVU, LLIL_OP.LLIL_DIVU_DP, LLIL_OP.LLIL_DIVS,
    LLIL_OP.LLIL_DIVS_DP, LLIL_OP.LLIL_MODU, LLIL_OP.LLIL_MODS,
    LLIL_OP.LLIL_NEG,
}
_LOGIC = {
    LLIL_OP.LLIL_AND, LLIL_OP.LLIL_OR, LLIL_OP.LLIL_XOR, LLIL_OP.LLIL_NOT,
    LLIL_OP.LLIL_LSL, LLIL_OP.LLIL_LSR, LLIL_OP.LLIL_ASR,
    LLIL_OP.LLIL_ROL, LLIL_OP.LLIL_RLC, LLIL_OP.LLIL_ROR, LLIL_OP.LLIL_RRC,
}
_TRANSFER = {
    LLIL_OP.LLIL_SET_REG, LLIL_OP.LLIL_SET_REG_SPLIT, LLIL_OP.LLIL_SET_FLAG,
    LLIL_OP.LLIL_GOTO, LLIL_OP.LLIL_IF, LLIL_OP.LLIL_JUMP, LLIL_OP.LLIL_JUMP_TO,
    LLIL_OP.LLIL_RET, LLIL_OP.LLIL_NORET, LLIL_OP.LLIL_PUSH, LLIL_OP.LLIL_POP,
}
_CALL = {
    LLIL_OP.LLIL_CALL, LLIL_OP.LLIL_TAILCALL, LLIL_OP.LLIL_SYSCALL,
}
_COMPARISON = {
    LLIL_OP.LLIL_CMP_E, LLIL_OP.LLIL_CMP_NE,
    LLIL_OP.LLIL_CMP_SLT, LLIL_OP.LLIL_CMP_ULT,
    LLIL_OP.LLIL_CMP_SLE, LLIL_OP.LLIL_CMP_ULE,
    LLIL_OP.LLIL_CMP_SGE, LLIL_OP.LLIL_CMP_UGE,
    LLIL_OP.LLIL_CMP_SGT, LLIL_OP.LLIL_CMP_UGT,
    LLIL_OP.LLIL_TEST_BIT, LLIL_OP.LLIL_FLAG_COND,
}
_MEMORY = {
    LLIL_OP.LLIL_LOAD, LLIL_OP.LLIL_STORE,
}

cfg_features.LLIL_OP_CATEGORIES = {}
for _op in _ARITHMETIC:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_ARITHMETIC
for _op in _LOGIC:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_LOGIC
for _op in _TRANSFER:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_TRANSFER
for _op in _CALL:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_CALL
for _op in _COMPARISON:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_COMPARISON
for _op in _MEMORY:
    cfg_features.LLIL_OP_CATEGORIES[_op.value] = cfg_features.CAT_MEMORY

# Set of CALL operation values for counting
_CALL_OPS = {op.value for op in _CALL}


# ---------------------------------------------------------------------------
# Task 2.1 + 2.3: Rewritten CFGAnalysis
# ---------------------------------------------------------------------------

class CFGAnalysis:
    def __init__(self, function, llil_function=None):
        self.function = function
        self.llil_function = llil_function

    def extract_function_cfg(self):
        """Extract function-level CFG features as a flat dictionary."""

        if self.function is None:
            return None

        blocks = list(self.function.basic_blocks)
        if not blocks:
            return None

        n = len(blocks)

        # 1. Build index-based adjacency from Binary Ninja blocks
        addr_to_idx = {b.start: i for i, b in enumerate(blocks)}
        successors = [[] for _ in range(n)]
        predecessors = [[] for _ in range(n)]
        for i, block in enumerate(blocks):
            for edge in block.outgoing_edges:
                if edge.target is None:
                    continue
                target_idx = addr_to_idx.get(edge.target.start)
                if target_idx is not None:
                    successors[i].append(target_idx)
                    predecessors[target_idx].append(i)

        # 2. BFS order (reusable across multiple features)
        bfs = cfg_features.bfs_order(successors, n)

        # 3. Collect per-block LLIL operations (for prime product + ACFG features)
        block_llil_ops = self._collect_block_llil_ops(blocks, addr_to_idx, n)
        all_llil_ops = [op for block_ops in block_llil_ops for op in block_ops]

        # 4. Structural counts
        edge_count = sum(len(s) for s in successors)
        total_llil = sum(len(ops) for ops in block_llil_ops)
        call_count = sum(
            1 for ops in block_llil_ops for op in ops
            if op in _CALL_OPS
        )

        # 5. Compute all features
        bb_features = cfg_features.build_block_features(block_llil_ops, successors, n)

        return {
            "cfg_topology_hash": cfg_features.compute_topology_hash(successors, bfs, n),
            "block_count": n,
            "edge_count": edge_count,
            "llil_total_operations": total_llil,
            "call_count": call_count,
            "cyclomatic_complexity": edge_count - n + 2,
            "loop_count": cfg_features.count_back_edges(successors, n),
            "max_depth": cfg_features.bfs_max_depth(successors, n),
            "max_fan_out": max((len(s) for s in successors), default=0),
            "md_index_topdown": cfg_features.compute_md_index_topdown(successors, predecessors, bfs),
            "md_index_bottomup": cfg_features.compute_md_index_bottomup(successors, predecessors, n),
            "prime_product_llil": cfg_features.compute_prime_product(all_llil_ops),
            "cfg_feature_tlsh": cfg_features.compute_cfg_feature_tlsh(bb_features, bfs),
            "wl_minhash": cfg_features.compute_wl_minhash(successors, predecessors, bb_features, n),
            "bb_features": bb_features,
            "cfg_adjacency": cfg_features.pack_adjacency(successors),
        }

    def _collect_block_llil_ops(self, blocks, addr_to_idx, n):
        """
        Collect LLIL operation integers per native basic block.
        Walks the full expression tree of each instruction so that
        nested operations (e.g. ADD inside SET_REG) are captured.
        Returns list of n lists, one per block.
        """
        block_ops = [[] for _ in range(n)]

        if self.llil_function is None:
            return block_ops

        try:
            for llil_block in self.llil_function.basic_blocks:
                # Map LLIL block to native block via source_block
                if llil_block.source_block is not None:
                    native_idx = addr_to_idx.get(llil_block.source_block.start)
                    if native_idx is not None:
                        for instr in llil_block:
                            self._walk_llil_ops(instr, block_ops[native_idx])
        except Exception:
            pass  # Return empty ops — LLIL-dependent fields will be 0/null

        return block_ops

    @staticmethod
    def _walk_llil_ops(expr, ops_list):
        """Collect operation values from an LLIL expression tree iteratively."""
        stack = [expr]
        while stack:
            node = stack.pop()
            if hasattr(node, 'operation'):
                ops_list.append(node.operation.value)
            if hasattr(node, 'operands'):
                for operand in node.operands:
                    if hasattr(operand, 'operation'):
                        stack.append(operand)