Octavian Popescu

54 papers A* 2A 1B 11C 4Misc 3Journal 5Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Ulrich Finkler, Irene Manotas, Wei Zhang, Geert Janssen, Octavian Popescu, Shyam Ramji
2023 J jnl
CoRR
Irene Manotas, Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin
2022 B conf
COLING
Octavian Popescu, Irene Manotas, Ngoc Phuoc An Vo, Hangu Yeo, Elahe Khorashani, Vadim Sheinin
2022 B conf
IEEE Big Data
Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos
2022 conf
EMNLP (Industry Track)
Ngoc Phuoc An Vo, Octavian Popescu, Irene Manotas, Vadim Sheinin
2021 conf
IEEE BigData
Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos
2021 Misc conf
RANLP
Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin
2021 J jnl
CoRR
Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin
2020 B conf
COLING
Ngoc Phuoc An Vo, Irene Manotas, Vadim Sheinin, Octavian Popescu
2019 C conf
NLDB
Ngoc Phuoc An Vo, Octavian Popescu, Vadim Sheinin, Elahe Khorasani, Hangu Yeo
2019 conf
ACIIDS (1)
Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin, Elahe Khorashani, Hangu Yeo
2018 B conf
LREC
Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin
2018 B conf
LREC
Vadim Sheinin, Elahe Khorasani, Hangu Yeo, Kun Xu, Ngoc Phuoc An Vo, Octavian Popescu
2017 ed.
NLPmJ@EMNLP
Octavian Popescu, Carlo Strapparava
2016 conf
KDIR
Ngoc Phuoc An Vo, Octavian Popescu
2016 conf
AI*IA
Simone Magnolini, Ngoc Phuoc An Vo, Octavian Popescu
2016 B conf
LREC
Ngoc Phuoc An Vo, Octavian Popescu
2016 C conf
IC3K
Ngoc Phuoc An Vo, Octavian Popescu
2015 conf
HLT-NAACL
Ngoc Phuoc An Vo, Octavian Popescu
2015 conf
ACL (Tutorial Abstracts)
Octavian Popescu, Patrick Hanks, Elisabetta Jezek, Daisuke Kawahara
2015 conf
SemEval@NAACL-HLT
Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu
2015 conf
SemEval@NAACL-HLT
Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu
2015 conf
SemEval@NAACL-HLT
Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu
2015 Misc conf
RANLP
Ngoc Phuoc An Vo, Octavian Popescu
2015 Misc conf
RANLP
Simone Magnolini, Ngoc Phuoc An Vo, Octavian Popescu
2015 conf
SocialNLP@NAACL
Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu
2015 conf
SemEval@NAACL-HLT
Octavian Popescu, Carlo Strapparava
2015 conf
SemEval@NAACL-HLT
Vít Baisa, Jane Bradbury, Silvie Cinková, Ismaïl El Maarouf, Adam Kilgarriff, Octavian Popescu
2014 conf
SemEval@COLING
Ngoc Phuoc An Vo, Tommaso Caselli, Octavian Popescu
2014 conf
SemEval@COLING
Ngoc Phuoc An Vo, Octavian Popescu, Tommaso Caselli
2014 A* conf
EMNLP
Octavian Popescu, Ngoc Phuoc An Vo
2014 A conf
EACL
Daisuke Kawahara, Daniel W. Peterson, Octavian Popescu, Martha Palmer
2014 B conf
LREC
Octavian Popescu, Martha Palmer, Patrick Hanks
2014 B conf
LREC
Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini, Octavian Popescu
2014 J jnl
Knowl. Based Syst.
Octavian Popescu, Carlo Strapparava
2013 B conf
IJCNLP
Octavian Popescu, Carlo Strapparava
2013 conf
JSSP
Vlad Niculae, Octavian Popescu
2013 conf
IWCS
Octavian Popescu
2013 conf
JSSP
Octavian Popescu
2012 B conf
LREC
Octavian Popescu
2012 conf
CICLing (1)
Octavian Popescu, Roberto Zanoli
2012 J jnl
Intelligenza Artificiale
Octavian Popescu, Francesco Corcoglioniti, Roberto Zanoli
2010 conf
COLING (Posters)
Octavian Popescu
2009 C conf
CICLing
Octavian Popescu, Bernardo Magnini
2009 conf
HLT-NAACL (Short Papers)
Octavian Popescu
2009 A* conf
EMNLP
Octavian Popescu
2008 C conf
CICLing
Octavian Popescu, Bernardo Magnini
2007 conf
LTC
Octavian Popescu, Bernardo Magnini
2007 conf
SemEval@ACL
Octavian Popescu, Sara Tonelli, Emanuele Pianta
2007 conf
SemEval@ACL
Octavian Popescu, Bernardo Magnini
2007 conf
AI*IA
Octavian Popescu, Bernardo Magnini
2006 conf
SWAP
Octavian Popescu, Bernardo Magnini, Emanuele Pianta, Luciano Serafini, Manuela Speranza
2006 conf
OntologyLearning@COLING/ACL
Bernardo Magnini, Emanuele Pianta, Octavian Popescu, Manuela Speranza
2004 B conf
LREC
Jordi Atserias, Bernardo Magnini, Octavian Popescu, Eneko Agirre, Aitziber Atutxa, German Rigau, John Carroll, Rob Koeling
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"