Waqar Aslam

31 papers C 1Journal 29Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim
2024 J jnl
IEEE Access
Rubina Rashid, Waqar Aslam, Arif Mehmood, Debora Libertad Ramírez Vargas, Isabel de la Torre Díez, Imran Ashraf
2024 J jnl
PeerJ Comput. Sci.
Sajjad Hussain, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Imran Ashraf
2024 J jnl
IEEE Access
Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim
2024 J jnl
IEEE Access
Qamar Hafeez, Waqar Aslam, Romana Aziz, Ghadah Aldehim
2024 J jnl
IEEE Access
Amna Ikram, Waqar Aslam
2023 J jnl
IEEE Access
Muhammad Nazir, Arif Mehmood, Waqar Aslam, Yongwan Park, Gyu Sang Choi, Imran Ashraf
2022 J jnl
J. Sensors
Amna Ikram, Waqar Aslam, Roza Hikmat Hama Aziz, Fazal Noor, Ghulam Ali Mallah, Sunnia Ikram, Muhammad Saeed Ahmad, Ako Muhammad Abdullah, Insaf Ullah
2022 J jnl
Intell. Autom. Soft Comput.
Fiaz Majeed, Noman Yousaf, Muhammad Shafiq, Mohammed Ahmed Basheikh, Wazir Zada Khan, Akber Abid Gardezi, Waqar Aslam, Jin-Ghoo Choi
2022 J jnl
Intell. Autom. Soft Comput.
Waqar Mehmood, Abdul Waheed Khan, Waqar Aslam, Shafiq Ahmad, Ahmed M. El-Sherbeeny, Muhammad Shafiq
2021 J jnl
Intell. Autom. Soft Comput.
Musawwer Khan, Islam Ali, Waqar Mehmood, Wasif Nisar, Waqar Aslam, Muhammad Shafiq, Jin-Ghoo Choi
2021 J jnl
Intell. Autom. Soft Comput.
Islam Ali, Musawwer Khan, Waqar Mehmood, Wasif Nisar, Waqar Aslam, Muhammad Qaiser Saleem, Majzoob K. Omer, Muhammad Shafiq
2021 J jnl
IEEE Access
Saima Sadiq, Muhammad Usman Khalid, Mui-Zzud-Din, Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On
2021 J jnl
IEEE Access
Saima Sadiq, Muhammad Usman Khalid, Mui-Zzud-Din, Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On
2020 J jnl
J. Medical Imaging Health Informatics
Waqar Mehmood, Muhammad Shafiq, Muhammad Qaiser Saleem, Ali Saeed Alowayr, Waqar Aslam
2020 J jnl
J. Medical Imaging Health Informatics
Waqar Mehmood, Muhammad Shafiq, Muhammad Qaiser Saleem, Ali Saeed Alowayr, Waqar Aslam
2020 J jnl
IEEE Access
Abdul Razaq, Hanan Alolaiyan, Musheer Ahmad, Muhammad Awais Yousaf, Umer Shuaib, Waqar Aslam, Moatsum Alawida
2020 J jnl
IEEE Access
Muhammad Samiullah, Waqar Aslam, Hira Nazir, Muhammad Ikram Ullah Lali, Basit Shahzad, Muhammad Rafiq Mufti, Humaira Afzal
2020 J jnl
IEEE Access
Furqan Rustam, Aijaz Ahmad Reshi, Arif Mehmood, Saleem Ullah, Byung-Won On, Waqar Aslam, Gyu Sang Choi
2020 J jnl
IEEE Access
Humaira Afzal, Muhammad Rafiq Mufti, Sami ud Din, Qarab Raza Butt, Muhammad Imran Qureshi, Dost Muhammad Khan, Waqar Aslam
2020 J jnl
Intell. Autom. Soft Comput.
Rubina Aslam, Manzoor Illahi Tamimy, Waqar Aslam
2020 J jnl
J. Medical Imaging Health Informatics
Waqar Mehmood, Hassan Jari, Ali Tahir, Waqar Aslam, Muhammad Kamran
2020 J jnl
J. Medical Imaging Health Informatics
Waqar Mehmood, Hassan Jari, Ali Tahir, Waqar Aslam, Muhammad Kamran
2019 J jnl
IEEE Access
Muhammad Rafiq Mufti, Humaira Afzal, Fazal-ur Rehman, Waqar Aslam, Muhammad Imran Qureshi
2018 conf
INTAP
Muzamil Malik, Amna Ikram, Syeda Naila Batool, Waqar Aslam
2018 J jnl
IEEE Access
Waqar Aslam, Farah Ijaz
2017 J jnl
J. Inf. Sci. Eng.
Basit Shehzad, Kinza Mehr Awan, Muhammad Ikram Ullah Lali, Waqar Aslam
2017 J jnl
J. Inf. Sci. Eng.
Waqar Aslam, Farah Ijaz, Muhammad Ikram Ullah Lali, Waqar Mehmood
2016 J jnl
J. Syst. Softw.
Konstantinos Triantafyllidis, Waqar Aslam, Egor Bondarev, Johan J. Lukkien, Peter H. N. de With
2012 C conf
ICCE
Waqar Aslam, Johan J. Lukkien
2012 J jnl
IEEE Trans. Consumer Electron.
Waqar Aslam, Johan J. Lukkien
redb/extractors/decompiler/apk/method_extractor.py
← Index redb/extractors/decompiler/apk/method_extractor.py python
"""Per-method content extraction, hashing, and similarity computation.

Handles SHA-256 content hashing, ssdeep/TLSH fuzzy hashing, MinHash
computation, and obfuscation indicator detection for APK methods.
"""

import hashlib
import re
from typing import Dict, List, Optional

from redb.extractors.decompiler.apk.smali_normalization import (
    categorize_opcode,
    normalize_method_body,
)
from redb.extractors.decompiler.apk.smali_parser import SmaliParser


# ---------------------------------------------------------------------------
# Smali Prime Product — semantic primes matching Binary Ninja's LLIL primes
# ---------------------------------------------------------------------------
# Each Dalvik semantic category maps to the same prime its LLIL counterpart
# uses in cfg_features.py. This makes prime products semantically comparable
# for APK-vs-APK similarity (not numerically comparable to Binja values).

SMALI_OP_PRIMES = {
    "ALU": 37,       # ADD/SUB → same prime as LLIL_ADD
    "CONV": 131,     # Type conversions → same as LLIL_SX
    "CMP": 103,      # Comparisons → same as LLIL_CMP_E
    "MOV": 2,        # Register moves → same as LLIL_SET_REG
    "CONST": 2,      # Constants → SET_REG equivalent
    "LOAD": 5,       # Field/array reads → same as LLIL_LOAD
    "STORE": 7,      # Field/array writes → same as LLIL_STORE
    "CALL": 17,      # invoke-* → same as LLIL_CALL
    "BRANCH": 29,    # if-* → same as LLIL_IF
    "JMP": 31,       # goto → same as LLIL_GOTO
    "SWITCH": 151,   # switch → same as LLIL_JUMP_TO
    "RET": 23,       # return → same as LLIL_RET
    "ALLOC": 5,      # new-instance/new-array → LOAD-adjacent (heap access)
    "TYPE": 1,       # check-cast/instance-of → identity (metadata)
    "ARR": 5,        # array-length/fill-array → LOAD-adjacent
    "EXC": 23,       # throw → RET-adjacent (control transfer out)
    "SYNC": 1,       # monitor → identity (no LLIL equivalent)
    "OTHER": 1,      # Unknown → identity
}


def compute_prime_product_smali(smali_body: str) -> int:
    """Multiplicative hash of normalized Dalvik opcodes. Mod 2^64.

    Same algorithm as cfg_features.compute_prime_product but using
    Dalvik semantic categories instead of LLIL operation enums.
    """
    if not smali_body:
        return 0

    product = 1
    for line in smali_body.splitlines():
        stripped = line.strip()
        if not stripped or stripped.startswith((".", ":", "#")):
            continue
        opcode = stripped.split()[0].split("/")[0] if stripped else ""
        category = categorize_opcode(opcode)
        prime = SMALI_OP_PRIMES.get(category, 1)
        product = (product * prime) % (2**64)

    return product


def count_call_instructions(smali_body: str) -> int:
    """Count invoke-* instructions in a smali method body."""
    if not smali_body:
        return 0
    count = 0
    for line in smali_body.splitlines():
        stripped = line.strip()
        if stripped.startswith("invoke-"):
            count += 1
    return count


def compute_sha256(content: str) -> str:
    """Compute SHA-256 hash of normalized content."""
    return hashlib.sha256(content.encode("utf-8")).hexdigest()


def compute_ssdeep(content: str) -> Optional[str]:
    """Compute ssdeep fuzzy hash of content."""
    try:
        import ppdeep
        data = content.encode("utf-8")
        if len(data) < 50:
            return None
        result = ppdeep.hash(data)
        return result if result else None
    except (ImportError, Exception):
        return None


def compute_tlsh(content: str) -> Optional[str]:
    """Compute TLSH fuzzy hash of content."""
    try:
        import tlsh
        data = content.encode("utf-8")
        if len(data) < 50:
            return None
        result = tlsh.hash(data)
        return result if result else None
    except (ImportError, Exception):
        return None


def compute_minhash(
    content: str,
    n: int = 3,
    normalization_level: str = "opcode_api",
) -> Optional[List[int]]:
    """Compute MinHash signature from semantically normalized smali n-grams.

    Applies semantic normalization (analogous to Binary Ninja's LLIL) before
    computing the MinHash. This strips register allocation noise and
    instruction encoding variants while preserving operation semantics and
    API references.

    Uses the same algorithm and parameters as the Binary Ninja MinHasher
    (64 seeds from master seed 0xdeadbeef, 8-bit signature elements, mmh3)
    to ensure cross-platform similarity comparisons are compatible.

    Args:
        content: Raw smali method body.
        n: N-gram size (default 3).
        normalization_level: Normalization level for instructions.
            'opcode_api' (default) preserves API call/field references.
            'category' uses only semantic categories.
            'opcode' uses base opcodes without operands.
    """
    try:
        import mmh3
    except ImportError:
        return None

    HASH_MAX = 0xFFFFFFFF
    SIGNATURE_LENGTH = 64
    SIGNATURE_BITS = 8

    # Semantically normalize instructions (like LLIL for native code)
    lines = normalize_method_body(content, level=normalization_level)

    if len(lines) < n:
        return None

    # Build n-grams (tuples of normalized instruction strings)
    shingles = [tuple(lines[i:i + n]) for i in range(len(lines) - n + 1)]

    if not shingles:
        return None

    # Generate deterministic seeds matching the Binary Ninja pipeline
    import random
    rng = random.Random(0xDEADBEEF)
    seeds = [rng.randint(0, HASH_MAX) for _ in range(SIGNATURE_LENGTH)]

    # For each seed, hash all shingles and take the minimum
    signature = []
    for seed in seeds:
        min_val = HASH_MAX
        for shingle in shingles:
            text = "|".join(str(elem) for elem in shingle)
            h = mmh3.hash(text, seed) & HASH_MAX
            if h < min_val:
                min_val = h
        # Truncate to signature bits
        if SIGNATURE_BITS < 32:
            min_val %= (2 ** SIGNATURE_BITS)
        signature.append(min_val)

    return signature


def detect_obfuscation_indicators(
    method_name: str,
    class_name: str,
    smali_body: str,
    instruction_count: int,
) -> Dict[str, bool]:
    """Compute obfuscation indicators for a method.

    Returns dict with boolean indicators.
    """
    indicators = {}

    # Short method name (typical R8/ProGuard output)
    indicators["short_method_name"] = len(method_name) <= 2

    # Short class name — extract simple name from Dalvik descriptor
    simple_class = class_name
    if "/" in simple_class:
        simple_class = simple_class.rsplit("/", 1)[-1]
    simple_class = simple_class.rstrip(";")
    indicators["short_class_name"] = len(simple_class) <= 2

    # String encryption: const-string followed by decryption-pattern call
    indicators["has_string_encryption"] = _detect_string_encryption(smali_body)

    # Reflection calls
    indicators["has_reflection_calls"] = _detect_reflection_calls(smali_body)

    # Excessive goto count (control flow flattening)
    goto_count = _count_goto_instructions(smali_body)
    threshold = max(5, int(instruction_count * 0.15))
    indicators["excessive_goto_count"] = goto_count > threshold

    return indicators


def _detect_string_encryption(smali_body: str) -> bool:
    """Detect const-string followed by decryption-pattern calls."""
    lines = smali_body.split("\n")
    for i, line in enumerate(lines):
        stripped = line.strip()
        if stripped.startswith("const-string"):
            # Check the next 3 lines for invoke-* to potential decryption
            for j in range(i + 1, min(i + 4, len(lines))):
                next_line = lines[j].strip()
                if next_line.startswith("invoke-"):
                    # Common decryption patterns
                    if any(
                        pat in next_line
                        for pat in [
                            "decrypt",
                            "decode",
                            "Cipher",
                            "DES",
                            "AES",
                            "Base64",
                            "getBytes",
                        ]
                    ):
                        return True
    return False


def _detect_reflection_calls(smali_body: str) -> bool:
    """Detect use of Java reflection APIs."""
    reflection_patterns = [
        "Ljava/lang/reflect/",
        "Ljava/lang/Class;->forName",
        "Ljava/lang/Class;->getMethod",
        "Ljava/lang/Class;->getDeclaredMethod",
        "Ljava/lang/Class;->getField",
        "Ljava/lang/Class;->getDeclaredField",
    ]
    for pattern in reflection_patterns:
        if pattern in smali_body:
            return True
    return False


def _count_goto_instructions(smali_body: str) -> int:
    """Count goto/goto_16/goto_32 instructions."""
    count = 0
    for line in smali_body.split("\n"):
        stripped = line.strip()
        if stripped.startswith(("goto ", "goto/16 ", "goto/32 ")):
            count += 1
        elif stripped in ("goto", "goto/16", "goto/32"):
            count += 1
    return count


def dalvik_to_java_class(descriptor: str) -> str:
    """Convert Dalvik class descriptor to Java dot notation.

    Lcom/example/Foo; -> com.example.Foo
    """
    if descriptor.startswith("L") and descriptor.endswith(";"):
        return descriptor[1:-1].replace("/", ".")
    return descriptor.replace("/", ".")


def dalvik_type_to_java(type_desc: str) -> str:
    """Convert a Dalvik type descriptor to Java type name."""
    type_map = {
        "V": "void",
        "Z": "boolean",
        "B": "byte",
        "S": "short",
        "C": "char",
        "I": "int",
        "J": "long",
        "F": "float",
        "D": "double",
    }

    if not type_desc:
        return "void"

    if type_desc in type_map:
        return type_map[type_desc]

    if type_desc.startswith("["):
        return dalvik_type_to_java(type_desc[1:]) + "[]"

    if type_desc.startswith("L") and type_desc.endswith(";"):
        full = type_desc[1:-1].replace("/", ".")
        # Return simple name
        return full.rsplit(".", 1)[-1] if "." in full else full

    return type_desc


def dalvik_to_java_prototype(
    method_name: str, signature: str, class_name: str = ""
) -> str:
    """Convert Dalvik method signature to Java-style prototype.

    Input: method_name='onCreate', signature='(Landroid/os/Bundle;)V'
    Output: 'void onCreate(Bundle)'
    """
    # Parse return type and param types from signature
    if not signature or not signature.startswith("("):
        return f"void {method_name}()"

    close_paren = signature.find(")")
    if close_paren == -1:
        return f"void {method_name}()"

    params_str = signature[1:close_paren]
    return_type_str = signature[close_paren + 1:]

    return_type = dalvik_type_to_java(return_type_str)
    params = _parse_dalvik_params(params_str)
    param_java = ", ".join(dalvik_type_to_java(p) for p in params)

    return f"{return_type} {method_name}({param_java})"


def _parse_dalvik_params(params_str: str) -> List[str]:
    """Parse Dalvik parameter descriptor string into individual types."""
    params = []
    i = 0
    while i < len(params_str):
        ch = params_str[i]
        if ch in "VZBSCIJFD":
            params.append(ch)
            i += 1
        elif ch == "[":
            # Array — find the base type
            array_prefix = "["
            i += 1
            while i < len(params_str) and params_str[i] == "[":
                array_prefix += "["
                i += 1
            if i < len(params_str):
                if params_str[i] == "L":
                    end = params_str.find(";", i)
                    if end != -1:
                        params.append(array_prefix + params_str[i : end + 1])
                        i = end + 1
                    else:
                        break
                else:
                    params.append(array_prefix + params_str[i])
                    i += 1
        elif ch == "L":
            end = params_str.find(";", i)
            if end != -1:
                params.append(params_str[i : end + 1])
                i = end + 1
            else:
                break
        else:
            i += 1
    return params