Imran Mahmud

24 papers C 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Artif. Intell.
Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Mohammad Ali Moni
2026 J jnl
IEEE Trans. Comput. Biol. Bioinform.
Md. Mustahid Hasan, Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Sobhy M. Ibrahim, Imran Mahmud, Mohammad Ali Moni
2025 J jnl
PeerJ Comput. Sci.
Nusrat Jahan, Zahereel Ishwar Abdul Khalib, Zouhair Elamrani Abou Elassad, Imran Mahmud, Rozmie Razif Othman
2025 J jnl
Smart Learn. Environ.
Reham Adel Ali, Mohamed Soliman Mohamed Soliman, Muhammad Roflee Weahama, Muhammadafeefee Assalihee, Imran Mahmud
2025 J jnl
Comput. Biol. Medicine
Fazla Rabby Raihan, Lway Faisal Abdulrazak, Md. Ashikur Rahman, Md Mamun Ali, Sobhy M. Ibrahim, Kawsar Ahmed, Francis M. Bui, Imran Mahmud
2025 J jnl
Int. J. Bus. Inf. Syst.
Chi Tin Wong, Cheng Ling Tan, Imran Mahmud
2024 J jnl
EAI Endorsed Trans. Pervasive Health Technol.
Khalid Been Md. Badruzzaman Biplob, Musabbir Hasan Sammak, Abu Kowshir Bitto, Imran Mahmud
2024 conf
ICCCNT
Md. Sakib Ali Mazumder, F. M. Javed Mehedi Shamrat, Imran Mahmud, Sharmin Sharmin, Tanzim Hossain, Ekramul Kabir Biplab
2024 J jnl
PeerJ Comput. Sci.
Tanzim Hossain, F. M. Javed Mehedi Shamrat, Xujuan Zhou, Imran Mahmud, Md. Sakib Ali Mazumder, Sharmin Sharmin, Raj Gururajan
2024 C conf
EDUCON
Vito Veneziano, Imran Mahmud
2023 J jnl
IEEE Access
Luiz Paulo Oliveira Paula, Nuruzzaman Faruqui, Imran Mahmud, Md Whaiduzzaman, Eric Charles Hawkinson, Sandeep Trivedi
2023 J jnl
Algorithms
Md. Ashikur Rahman, Lway Faisal Abdulrazak, Md Mamun Ali, Imran Mahmud, Kawsar Ahmed, Francis M. Bui
2023 J jnl
IEEE Access
Nuruzzaman Faruqui, Md. Alamgir Kabir, Mohammad Abu Yousuf, Md Whaiduzzaman, Alistair Barros, Imran Mahmud
2022 conf
ICCCNT
Musabbir Hasan Sammak, Md. Shohel Arman, Hasnur Jahan, Imran Mahmud, Md. Rittique Alam, Khalid Been Md. Badruzzaman Biplop
2022 conf
TCCE
Amira Mahjabeen, Md. Rajib Mia, F. N. U. Shariful, Nuruzzaman Faruqui, Imran Mahmud
2022 J jnl
Int. J. Emerg. Technol. Learn.
Ejaj-Ur Rahaman, Imran Mahmud, Md. Ar Rafi Himel, Afsana Begum, Nusrat Jahan
2022 conf
ICCCNT
Farha Islam, Md. Shohel Arman, Nusrat Jahan, Musabbir Hasan Sammak, Nusrat Tasnim, Imran Mahmud
2021 J jnl
Bus. Process. Manag. J.
Ahmed Alzahrani, Imran Mahmud, Ramayah Thurasamy, Osama Alfarraj, Ayed Alwadain
2020 J jnl
Bus. Process. Manag. J.
T. Ramayah, Pedro Soto-Acosta, Khoo Kah Kheng, Imran Mahmud
2020 J jnl
Inf. Manag.
Ali Vafaei-Zadeh, Thurasamy Ramayah, Haniruzila Hanifah, Sherah Kurnia, Imran Mahmud
2019 J jnl
J. Libr. Inf. Sci.
Ahmed Ibrahim Alzahrani, Imran Mahmud, Thurasamy Ramayah, Osama Alfarraj, Nasser Alalwan
2018 conf
I3E
Rafita Haque, Imran Mahmud, Md. Hasan Sharif, S. Rayhan Kabir, Arpita Chowdhury, Farzana Akter, Amatul Bushra Akhi
2017 J jnl
Telematics Informatics
Ahmed Ibrahim Alzahrani, Imran Mahmud, Thurasamy Ramayah, Osama Alfarraj, Nasser Alalwan
2017 J jnl
Inf. Syst.
Imran Mahmud, Thurasamy Ramayah, Sherah Kurnia
redb/extractors/elf_extractors/elf_notes.py
← Index redb/extractors/elf_extractors/elf_notes.py python
import inspect
import binascii
from datetime import datetime, timezone
from typing import Any, List, Dict

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFNote


class ELFNotesExtractor(ELFExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        elf=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            elf,
        )
        self.elf_notes = []
        self.elastic_index = self.index_prefix + "-elf_notes"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_note_type_string(self, note_type: int, note_name: str) -> str:
        """Convert note type number to human-readable string."""

        # GNU-specific note types
        if note_name == "GNU":
            gnu_types = {
                1: "NT_GNU_ABI_TAG",
                2: "NT_GNU_HWCAP",
                3: "NT_GNU_BUILD_ID",
                4: "NT_GNU_GOLD_VERSION",
                5: "NT_GNU_PROPERTY_TYPE_0"
            }
            return gnu_types.get(note_type, f"NT_GNU_UNKNOWN_{note_type}")

        # Generic note types
        generic_types = {
            1: "NT_PRSTATUS",
            2: "NT_FPREGSET",
            3: "NT_PRPSINFO",
            4: "NT_TASKSTRUCT",
            5: "NT_AUXV",
            6: "NT_PSTATUS",
            7: "NT_FPREGS",
            8: "NT_PSINFO",
            9: "NT_PRCRED",
            10: "NT_UTSNAME",
            11: "NT_LWPSTATUS",
            12: "NT_LWPSINFO",
            13: "NT_PRFPXREG"
        }

        return generic_types.get(note_type, f"NT_UNKNOWN_{note_type}")

    def _format_note_description(self, note_desc, note_type: int, note_name: str) -> str:
        """Format note description based on type for human readability."""
        try:
            if not note_desc:
                return ""

            # Handle build ID specifically (common case)
            if note_name == "GNU" and note_type == 3:  # NT_GNU_BUILD_ID
                if isinstance(note_desc, bytes):
                    return binascii.hexlify(note_desc).decode('ascii')
                return str(note_desc)

            # Handle ABI tag
            if note_name == "GNU" and note_type == 1:  # NT_GNU_ABI_TAG
                if isinstance(note_desc, bytes) and len(note_desc) >= 16:
                    # ABI tag contains OS, major, minor, subminor
                    import struct
                    try:
                        os_val, major, minor, subminor = struct.unpack('<IIII', note_desc[:16])
                        os_names = {0: "Linux", 1: "GNU", 2: "Solaris", 3: "FreeBSD"}
                        os_name = os_names.get(os_val, f"OS_{os_val}")
                        return f"{os_name} {major}.{minor}.{subminor}"
                    except:
                        pass

            # For binary data, convert to hex
            if isinstance(note_desc, bytes):
                # Limit size for very large descriptions
                if len(note_desc) > 256:
                    return binascii.hexlify(note_desc[:256]).decode('ascii') + "..."
                return binascii.hexlify(note_desc).decode('ascii')

            # For string data
            if isinstance(note_desc, str):
                return note_desc

            # Fallback
            return str(note_desc)

        except Exception as e:
            self.log.error(f"Error formatting note description: {e}")
            return str(note_desc) if note_desc else ""

    def _extract_note_data(self, note, section_name: str) -> ELFNote:
        """Extract data from a single note entry."""
        try:
            # Get note properties
            note_name = note.get('n_name', '').rstrip('\x00') if note.get('n_name') else ""
            note_type_raw = note.get('n_type', 0)
            note_desc_raw = note.get('n_desc', b'')

            # Handle note_type - pyelftools may return string or int
            if isinstance(note_type_raw, str):
                # pyelftools returned the type as a string like 'NT_GNU_BUILD_ID'
                note_type_str = note_type_raw
                # Map known string types to integers
                note_type_map = {
                    'NT_GNU_ABI_TAG': 1,
                    'NT_GNU_HWCAP': 2,
                    'NT_GNU_BUILD_ID': 3,
                    'NT_GNU_GOLD_VERSION': 4,
                    'NT_GNU_PROPERTY_TYPE_0': 5,
                    'NT_PRSTATUS': 1,
                    'NT_FPREGSET': 2,
                    'NT_PRPSINFO': 3,
                    'NT_TASKSTRUCT': 4,
                    'NT_AUXV': 5,
                    'NT_PSTATUS': 6,
                    'NT_FPREGS': 7,
                    'NT_PSINFO': 8,
                    'NT_PRCRED': 9,
                    'NT_UTSNAME': 10,
                    'NT_LWPSTATUS': 11,
                    'NT_LWPSINFO': 12,
                    'NT_PRFPXREG': 13,
                }
                note_type = note_type_map.get(note_type_raw, 0)
            else:
                note_type = note_type_raw
                # Get human-readable type string
                note_type_str = self._get_note_type_string(note_type, note_name)

            # Format description
            note_desc = self._format_note_description(note_desc_raw, note_type, note_name)

            return ELFNote(
                note_name=note_name,
                note_type=note_type,
                note_type_str=note_type_str,
                note_desc=note_desc,
                note_section=section_name
            )

        except Exception as e:
            self.log.error(f"Error extracting note data: {e}")
            return None

    def _extract_notes_from_sections(self, elf) -> List[Dict]:
        """Extract notes from note sections."""
        notes = []

        try:
            # Look for note sections
            for section in elf.iter_sections():
                if (section.name and
                    section.name.startswith('.note') and
                    hasattr(section, 'iter_notes')):

                    section_name = section.name
                    try:
                        for note in section.iter_notes():
                            note_data = self._extract_note_data(note, section_name)
                            if note_data:
                                notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in section {section_name}: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from sections: {e}")

        return notes

    def _extract_notes_from_segments(self, elf) -> List[Dict]:
        """Extract notes from PT_NOTE segments."""
        notes = []

        try:
            # Look for PT_NOTE segments
            for segment in elf.iter_segments():
                if segment.header.get('p_type') == 'PT_NOTE':
                    segment_name = f"PT_NOTE_segment_{segment.header.get('p_offset', 0)}"

                    try:
                        if hasattr(segment, 'iter_notes'):
                            for note in segment.iter_notes():
                                note_data = self._extract_note_data(note, segment_name)
                                if note_data:
                                    notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in segment: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from segments: {e}")

        return notes

    def tag(self):
        return Tag.ELF_NOTES.value if hasattr(Tag, 'ELF_NOTES') else "elf_notes"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                all_notes = []

                # Extract notes from note sections
                section_notes = self._extract_notes_from_sections(elf)
                all_notes.extend(section_notes)

                # Extract notes from PT_NOTE segments
                segment_notes = self._extract_notes_from_segments(elf)
                all_notes.extend(segment_notes)

                # Remove duplicates (same note might appear in section and segment)
                unique_notes = []
                seen_notes = set()
                for note in all_notes:
                    note_key = (note.note_name, note.note_type, note.note_desc)
                    if note_key not in seen_notes:
                        seen_notes.add(note_key)
                        unique_notes.append(note)

                return unique_notes

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_notes = result
            return self.elf_notes

        except Exception as e:
            self.log.error(f"Error extracting ELF notes {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_notes
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no notes found
                # None is reserved for actual errors

                # Prepare data arrays for all notes
                data = []
                current_time = datetime.now(timezone.utc)
                for note in self.elf_notes:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        note.note_name,
                        note.note_type,
                        note.note_type_str,
                        note.note_desc,
                        note.note_section,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'note_name', 'note_type', 'note_type_str',
                    'note_desc', 'note_section',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)', 'UInt32', 'LowCardinality(String)',
                    'String CODEC(ZSTD(3))', 'LowCardinality(String)',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

    def get_clickhouse_table(self) -> str:
        return "redb_elf_notes"