Igor Nai Fovino

71 papers B 10C 7Journal 29Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Internet Things
Dermot O'Brien, Vasileios Christaras, Ioannis Kounelis, Igor Nai Fovino, Georgios Fontaras
2022 conf
KST
Dermot O'Brien, Vasileios Christaras, Ioannis Kounelis, Igor Nai Fovino, Georgios Fontaras
2021 J jnl
Wirel. Commun. Mob. Comput.
José Luis Hernández-Ramos, Georgios Karopoulos, Dimitris Geneiatakis, Tania Martin, Georgios Kambourakis, Igor Nai Fovino
2021 J jnl
CoRR
José Luis Hernández-Ramos, Georgios Karopoulos, Dimitris Geneiatakis, Tania Martin, Georgios Kambourakis, Igor Nai Fovino
2020 J jnl
IEEE Internet Comput.
Gianmarco Baldini, José Luis Hernández-Ramos, Gary Steri, Ricardo Neisse, Igor Nai Fovino
2020 J jnl
IEEE Trans. Engineering Management
Dimitris Geneiatakis, Yannis Soupionis, Gary Steri, Ioannis Kounelis, Ricardo Neisse, Igor Nai Fovino
2020 J jnl
Wirel. Commun. Mob. Comput.
Tania Martin, Georgios Karopoulos, José Luis Hernández-Ramos, Georgios Kambourakis, Igor Nai Fovino
2020 J jnl
CoRR
Tania Martin, Georgios Karopoulos, José Luis Hernández-Ramos, Georgios Kambourakis, Igor Nai Fovino
2020 J jnl
IEEE Secur. Priv.
José Luis Hernández-Ramos, Dimitris Geneiatakis, Ioannis Kounelis, Gary Steri, Igor Nai Fovino
2020 J jnl
Symmetry
Tania Martin, Dimitrios Geneiatakis, Ioannis Kounelis, Stéphanie Kerckhof, Igor Nai Fovino
2018 ed.
Privacy and Identity Management
Marit Hansen, Eleni Kosta, Igor Nai Fovino, Simone Fischer-Hübner
2018 ed.
ICSS
Sajal Bhatia, Alvaro A. Cárdenas, Ernest Foo, Marina Krotofil, Sye Loong Keoh, Thomas Locher, Daisuke Mashima, Tommy H. Morris, John Mulder, Stephen McLaughlin, Igor Nai Fovino, Julian L. Rrushi, Bradley L. Schatz, Jared Smith, Saman A. Zonouz, Tim Zimmerman
2018 conf
Euro-CYBERSEC
Dimitris Geneiatakis, Gianmarco Baldini, Igor Nai Fovino, Ioannis Vakalis
2017 B conf
ARES
Ricardo Neisse, Gary Steri, Igor Nai Fovino
2017 J jnl
CoRR
Ricardo Neisse, Gary Steri, Igor Nai Fovino
2017 conf
Privacy and Identity Management
Ricardo Neisse, Gary Steri, Igor Nai Fovino
2017 conf
MIPRO
Dimitris Geneiatakis, Ioannis Kounelis, Ricardo Neisse, Igor Nai Fovino, Gary Steri, Gianmarco Baldini
2017 conf
Privacy and Identity Management
Eleni Kosta, Igor Nai Fovino, Simone Fischer-Hübner, Marit Hansen, Charles D. Raab, Ignacio Sánchez, Diane Whitehouse
2016 conf
ICT
Gary Steri, Gianmarco Baldini, Igor Nai Fovino, Ricardo Neisse, Leonardo Goratti
2016 J jnl
Comput. Secur.
Ricardo Neisse, Gary Steri, Dimitris Geneiatakis, Igor Nai Fovino
2015 J jnl
Comput. Secur.
Dimitris Geneiatakis, Igor Nai Fovino, Ioannis Kounelis, Pasquale Stirparo
2015 B conf
TrustBus
Dimitris Geneiatakis, Riccardo Satta, Igor Nai Fovino, Ricardo Neisse
2015 J jnl
Comput. Secur.
Ricardo Neisse, Gary Steri, Igor Nai Fovino, Gianmarco Baldini
2014 B conf
ARES
Ricardo Neisse, Igor Nai Fovino, Gianmarco Baldini, Vera Stavroulaki, Panagiotis Vlacheas, Raffaele Giaffreda
2014 conf
ICCST
Ignacio Sánchez, Riccardo Satta, Igor Nai Fovino, Gianmarco Baldini, Gary Steri, David Shaw, Andrea Ciardulli
2014 J jnl
IEEE Veh. Technol. Mag.
Andreas Polydoros, Nikos Dimitriou, Gianmarco Baldini, Igor Nai Fovino, Marco Taddeo, Antonio Maria Cipriano
2014 ch.
Secure Smart Embedded Devices, Platforms and Applications
Igor Nai Fovino
2013 C conf
CRITIS
Gianmarco Baldini, Ioannis Kounelis, Igor Nai Fovino, Ricardo Neisse
2013 J jnl
IEEE Netw.
Saeed Abu-Nimeh, Ernest Foo, Igor Nai Fovino, Manimaran Govindarasu, Thomas Morris
2013 J jnl
Int. J. Crit. Infrastructures
Emiliano Casalicchio, Marco Caselli, Alessio Coletta, Igor Nai Fovino
2013 B conf
WiMob
Pasquale Stirparo, Igor Nai Fovino, Ioannis Kounelis
2013 J jnl
Secur. Commun. Networks
Gianmarco Baldini, Igor Nai Fovino, Stefano Braghin, Alberto Trombetta
2013 conf
ICCVE
Gianmarco Baldini, Vincent Mahieu, Igor Nai Fovino, Alberto Trombetta, Marco Taddeo
2013 conf
WorldCIS
Pasquale Stirparo, Igor Nai Fovino, Marco Taddeo, Ioannis Kounelis
2012 J jnl
Comput. Electr. Eng.
Béla Genge, Christos Siaterlis, Igor Nai Fovino, Marcelo Masera
2012 conf
WODES
Görkem Kilinç, Igor Nai Fovino, Carlo Ferigato, Ahmet Koltuksuz
2012 J jnl
IEEE Trans. Ind. Electron.
Igor Nai Fovino, Alessio Coletta, Andrea Carcano, Marcelo Masera
2012 ch.
Critical Infrastructure Protection
Ettore Bompard, Paolo Cuccia, Marcelo Masera, Igor Nai Fovino
2012 C conf
CRITIS
Görkem Kilinç, Igor Nai Fovino
2012 conf
Critical Infrastructure Protection
Emiliano Casalicchio, Marco Caselli, Alessio Coletta, Salvatore Di Blasi, Igor Nai Fovino
2011 J jnl
IEEE Trans. Ind. Informatics
Andrea Carcano, Alessio Coletta, Michele Guglielmi, Marcelo Masera, Igor Nai Fovino, Alberto Trombetta
2011 conf
Critical Infrastructure Protection
Béla Genge, Igor Nai Fovino, Christos Siaterlis, Marcelo Masera
2011 J jnl
IET Inf. Secur.
Rafal Leszczyna, Igor Nai Fovino, Marcelo Masera
2011 C conf
CRITIS
Igor Nai Fovino, Salvatore Di Blasi, Andrea Rigoni
2010 conf
MOBILIGHT
Michele Guglielmi, Igor Nai Fovino, Andres Perez-Garcia, Christos Siaterlis
2010 B conf
AINA
Gianmarco Baldini, Stefano Braghin, Igor Nai Fovino, Alberto Trombetta
2010 J jnl
Int. J. Crit. Infrastructures
Stefano Braghin, Alberto Trombetta, Igor Nai Fovino
2010 J jnl
Int. J. Crit. Infrastructure Prot.
Gianmarco Baldini, Igor Nai Fovino, Marcelo Masera, Marco Luise, Vincenzo Pellegrini, Enzo Bagagli, Giuseppe Rubino, Raffaele Malangone, Marcoccio Stefano, Fabio Senesi
2010 conf
Critical Infrastructure Protection
Igor Nai Fovino, Marcelo Masera, Michele Guglielmi, Andrea Carcano, Alberto Trombetta
2010 B conf
AINA
Igor Nai Fovino, Andrea Carcano, Thibault De Lacheze Murel, Alberto Trombetta, Marcelo Masera
2010 J jnl
J. Comput. Virol.
Rafal Leszczyna, Igor Nai Fovino, Marcelo Masera
2010 C conf
CRITIS
Igor Nai Fovino, Andrea Carcano, Alessio Coletta, Michele Guglielmi, Marcelo Masera, Alberto Trombetta
2009 J jnl
Int. J. Crit. Infrastructure Prot.
Igor Nai Fovino, Andrea Carcano, Marcelo Masera, Alberto Trombetta
2009 conf
Critical Infrastructure Protection
Igor Nai Fovino, Andrea Carcano, Marcelo Masera, Alberto Trombetta
2009 J jnl
Reliab. Eng. Syst. Saf.
Igor Nai Fovino, Marcelo Masera, Alessio De Cian
2009 B conf
ARES
Marcelo Masera, Igor Nai Fovino
2009 C conf
CRITIS
Andrea Carcano, Igor Nai Fovino, Marcelo Masera, Alberto Trombetta
2008 J jnl
Int. J. Crit. Infrastructures
Giovanna Dondossola, Judit Szanto, Marcelo Masera, Igor Nai Fovino
2008 conf
SimuTools
Rafal Leszczyna, Igor Nai Fovino, Marcelo Masera
2008 conf
EuroISI
Igor Nai Fovino, Marcelo Masera
2008 C conf
CRITIS
Andrea Carcano, Igor Nai Fovino, Marcelo Masera, Alberto Trombetta
2008 conf
Critical Infrastructure Protection
Marcelo Masera, Igor Nai Fovino, Rafal Leszczyna
2008 C conf
CRITIS
Gianmarco Baldini, Igor Nai Fovino
2007 conf
Critical Infrastructure Protection
Marcelo Masera, Igor Nai Fovino
2006 B conf
SMC
Igor Nai Fovino, Marcelo Masera
2006 B conf
SAFECOMP
Igor Nai Fovino, Marcelo Masera
2005 J jnl
Data Min. Knowl. Discov.
Elisa Bertino, Igor Nai Fovino, Loredana Parasiliti Provenza
2005 conf
TCGOV
Danilo Bruschi, Igor Nai Fovino, Andrea Lanzi
2005 B conf
DaWaK
Elisa Bertino, Igor Nai Fovino
2004 J jnl
SIGMOD Rec.
Vassilios S. Verykios, Elisa Bertino, Igor Nai Fovino, Loredana Parasiliti Provenza, Yücel Saygin, Yannis Theodoridis
2004 conf
Communications and Multimedia Security
Elisa Bertino, Danilo Bruschi, Stefano Franzoni, Igor Nai Fovino, Stefano Valtolina
redb/extractors/yara.py
← Index redb/extractors/yara.py python
"""
YARA Extractor - Scans binary files with YARA rules and stores matches in ClickHouse.

This extractor uses the yara-x library to scan samples against a collection of
YARA rules located in the 'yara/' folder at the project root.

Supports both:
- Pre-compiled rules (.yarac) for faster loading
- Source rules (.yar/.yara) compiled on-the-fly

Schema Design:
- yara_rules: Rule metadata stored once per unique rule (deduplicated by rule_id)
- yara_matches: Sample-rule matches with binary sha256 for efficiency
"""
import inspect
import json
import os
import re
import threading
import time
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple

import xxhash
import yara_x

from redb.extractors.enum import Tag
from redb.extractors.extractor import Extractor
from redb.models.dataclasses import YaraMatch, YaraRule


# Default compiled rules filename (can be overridden via YARA_COMPILED_RULES env var)
COMPILED_RULES_FILENAME = os.getenv("YARA_COMPILED_RULES", "compiled_rules.yarac")

# Default source collection name
DEFAULT_SOURCE_COLLECTION = os.getenv("YARA_SOURCE_COLLECTION", "default")


def canonicalize_rule(rule_text: str) -> str:
    """
    Canonicalize YARA rule text for consistent hashing.

    Strips comments and normalizes whitespace, but excludes metadata
    so rules with same logic but different metadata get the same ID.
    """
    # Strip single-line comments
    text = re.sub(r'//.*$', '', rule_text, flags=re.MULTILINE)
    # Strip multi-line comments
    text = re.sub(r'/\*.*?\*/', '', text, flags=re.DOTALL)
    # Strip meta section (keep only strings/condition)
    text = re.sub(r'meta\s*:\s*[^}]+(?=strings|condition|})', '', text, flags=re.DOTALL)
    # Normalize whitespace
    text = ' '.join(text.split())
    return text


def generate_rule_id(rule_text: str) -> int:
    """
    Generate a unique rule_id from canonicalized rule content.

    Returns:
        UInt64 hash of the canonical rule content
    """
    canonical = canonicalize_rule(rule_text)
    return xxhash.xxh64(canonical.encode('utf-8')).intdigest()


def sha256_hex_to_binary(hex_str: str) -> bytes:
    """Convert SHA256 hex string to binary (32 bytes)."""
    return bytes.fromhex(hex_str)


def sha256_binary_to_hex(binary: bytes) -> str:
    """Convert SHA256 binary (32 bytes) to hex string."""
    return binary.hex()


def parse_yara_rules(file_content: str) -> List[Dict[str, Any]]:
    """
    Parse individual YARA rules from file content.

    Handles files with multiple rules and extracts:
    - rule_name: The rule identifier
    - rule_tags: List of tags (from 'rule Name : tag1 tag2 {')
    - rule_meta: Dict of metadata key-value pairs
    - rule_text: Full rule source code

    Args:
        file_content: Raw content of a .yar/.yara file

    Returns:
        List of dicts, each containing rule_name, rule_tags, rule_meta, rule_text
    """
    rules = []

    # Pattern to match rule declarations: rule Name or rule Name : tags
    # We need to find rule boundaries by tracking braces
    rule_pattern = re.compile(
        r'(?:^|\n)\s*((?:private\s+|global\s+)*rule\s+(\w+)\s*(?::\s*([^{]*))?\s*\{)',
        re.MULTILINE
    )

    matches = list(rule_pattern.finditer(file_content))

    for i, match in enumerate(matches):
        rule_start = match.start(1)  # Start of 'rule ...'
        rule_name = match.group(2)
        tags_str = match.group(3) or ""
        rule_tags = [t.strip() for t in tags_str.split() if t.strip()]

        # Find the matching closing brace by counting braces
        brace_count = 0
        rule_end = match.end()
        in_string = False
        escape_next = False

        for j, char in enumerate(file_content[match.end() - 1:], start=match.end() - 1):
            if escape_next:
                escape_next = False
                continue
            if char == '\\':
                escape_next = True
                continue
            if char == '"' and not escape_next:
                in_string = not in_string
                continue
            if in_string:
                continue
            if char == '{':
                brace_count += 1
            elif char == '}':
                brace_count -= 1
                if brace_count == 0:
                    rule_end = j + 1
                    break

        rule_text = file_content[rule_start:rule_end].strip()

        # Extract metadata from rule
        meta = {}
        meta_match = re.search(
            r'meta\s*:\s*(.*?)(?=strings\s*:|condition\s*:|$)',
            rule_text,
            re.DOTALL
        )
        if meta_match:
            meta_text = meta_match.group(1)
            for line in meta_text.strip().split('\n'):
                if '=' in line:
                    key, _, value = line.partition('=')
                    key = key.strip()
                    value = value.strip().strip('"\'')
                    if key and not key.startswith('//'):
                        meta[key] = value

        rules.append({
            'rule_name': rule_name,
            'rule_tags': rule_tags,
            'rule_meta': meta,
            'rule_text': rule_text,
        })

    return rules


class YaraBatchInsertBuffer:
    """
    Thread-safe buffer for batching YARA match inserts.

    Collects matches from multiple samples and flushes to ClickHouse
    when batch_size is reached or flush_interval expires.
    """

    def __init__(
        self,
        exporter,
        index_prefix: str,
        batch_size: int = 1000,
        flush_interval: int = 30,
    ):
        self.exporter = exporter
        self.index_prefix = index_prefix
        self.batch_size = batch_size
        self.flush_interval = flush_interval

        self.matches_buffer: List[List] = []
        self.rules_buffer: Dict[int, List] = {}  # rule_id -> rule_data (deduplicated)
        self.lock = threading.Lock()
        self.last_flush = time.time()

        # Start background flush timer
        self._stop_timer = False
        self._timer_thread = threading.Thread(target=self._flush_timer, daemon=True)
        self._timer_thread.start()

    def add(self, sha256_binary: bytes, matches: List[Tuple], rules: Dict[int, List]) -> None:
        """
        Add matches and rules to buffer.

        Args:
            sha256_binary: Binary SHA256 (32 bytes)
            matches: List of match tuples (sha256_binary, rule_id, rule_name, scan_date, match_strings)
            rules: Dict of rule_id -> rule_data tuples
        """
        with self.lock:
            self.matches_buffer.extend(matches)
            # Merge rules (deduplicated by rule_id)
            for rule_id, rule_data in rules.items():
                if rule_id not in self.rules_buffer:
                    self.rules_buffer[rule_id] = rule_data

            if len(self.matches_buffer) >= self.batch_size:
                self._flush_locked()

    def _flush_locked(self) -> None:
        """Flush buffer (must hold lock)."""
        if not self.matches_buffer:
            return

        try:
            # Insert rules first (deduplicated)
            if self.rules_buffer:
                rules_data = list(self.rules_buffer.values())
                self.exporter.batch_insert(
                    table='yara_rules',
                    rows=rules_data,
                    column_names=[
                        'rule_id', 'rule_name', 'source_collection',
                        'ingested_at', 'rule_text', 'rule_meta', 'rule_tags'
                    ],
                    column_type_names=[
                        'UInt64', 'String', 'LowCardinality(String)',
                        "DateTime64(3, 'UTC')", 'String', 'JSON', 'Array(LowCardinality(String))'
                    ]
                )

            # Insert matches
            self.exporter.batch_insert(
                table='yara_matches',
                rows=self.matches_buffer,
                column_names=[
                    'sha256', 'rule_id', 'rule_name',
                    'scan_date', 'match_strings'
                ],
                column_type_names=[
                    'FixedString(32)', 'UInt64', 'LowCardinality(String)',
                    "DateTime64(3, 'UTC')", 'Array(String)'
                ]
            )

            print(f"[YARA] Flushed {len(self.matches_buffer)} matches and {len(self.rules_buffer)} rules")

        except Exception as e:
            print(f"[YARA] Error flushing batch: {e}")

        # Clear buffers
        self.matches_buffer = []
        self.rules_buffer = {}
        self.last_flush = time.time()

    def flush(self) -> None:
        """Public flush (acquires lock)."""
        with self.lock:
            self._flush_locked()

    def _flush_timer(self) -> None:
        """Background timer for periodic flushes."""
        while not self._stop_timer:
            time.sleep(5)  # Check every 5 seconds
            with self.lock:
                if time.time() - self.last_flush > self.flush_interval and self.matches_buffer:
                    self._flush_locked()

    def stop(self) -> None:
        """Stop the background timer and flush remaining data."""
        self._stop_timer = True
        self.flush()


class YaraExtractor(Extractor):
    """
    Extractor that scans binary files with YARA rules.

    The YARA rules are loaded from the 'yara/' folder at the project root.
    Each matching rule is stored in ClickHouse with its metadata.

    Supports pre-compiled rules for faster loading:
    - If 'yara/compiled_rules.yarac' exists, it will be loaded directly
    - Otherwise, all .yar/.yara files are compiled and cached in memory
    - Use YaraExtractor.compile_and_save() to pre-compile rules
    """

    # Class-level cache for compiled YARA rules
    _compiled_rules = None
    _rules_path = None

    def __init__(
        self,
        filepath: str,
        log: Any,
        exporters: Optional[List] = None,
        index_prefix: Optional[str] = None,
        known_benign: bool = False,
        known_malicious: bool = False,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            known_benign,
            known_malicious,
        )
        self.matches: List[YaraMatch] = []
        self.rules: Dict[str, YaraRule] = {}  # rule_name -> YaraRule (deduplicated)

    @classmethod
    def get_yara_rules_path(cls) -> Path:
        """Get the path to the YARA rules directory."""
        # Default to 'yara/' in project root
        project_root = Path(__file__).parent.parent.parent
        default_path = project_root / "yara"

        # Allow override via environment variable
        rules_path = os.getenv("YARA_RULES_PATH", str(default_path))
        return Path(rules_path)

    @classmethod
    def get_compiled_rules_path(cls) -> Path:
        """Get the path to the pre-compiled rules file."""
        return cls.get_yara_rules_path() / COMPILED_RULES_FILENAME

    @classmethod
    def load_compiled_rules(cls) -> Optional[yara_x.Rules]:
        """
        Load pre-compiled YARA rules from .yarac file.

        Returns:
            Compiled Rules object or None if file doesn't exist
        """
        compiled_path = cls.get_compiled_rules_path()
        if not compiled_path.exists():
            return None

        try:
            with open(compiled_path, "rb") as f:
                rules = yara_x.Rules.deserialize_from(f)
            # Only log in debug mode (non-prod) to avoid spamming in bulk processing
            if os.getenv("SERVER_ENV") != "prod":
                print(f"[DEBUG] Loaded pre-compiled YARA rules from {compiled_path}")
            return rules
        except Exception as e:
            print(f"[WARNING] Failed to load compiled rules from {compiled_path}: {e}")
            return None

    @classmethod
    def compile_rules_from_source(cls) -> Optional[yara_x.Rules]:
        """
        Compile all YARA rules from source .yar/.yara files.

        Returns:
            Compiled Rules object or None if no rules found
        """
        rules_path = cls.get_yara_rules_path()

        if not rules_path.exists():
            return None

        # Find all .yar and .yara files recursively
        rule_files = []
        for ext in ["*.yar", "*.yara"]:
            rule_files.extend(rules_path.rglob(ext))

        if not rule_files:
            return None

        print(f"[INFO] Compiling {len(rule_files)} YARA rule files from {rules_path}")

        # Compile all rules using yara-x compiler
        compiler = yara_x.Compiler()
        compiled_count = 0
        failed_count = 0

        for rule_file in rule_files:
            try:
                with open(rule_file, "r", encoding="utf-8") as f:
                    rule_content = f.read()
                # Use the relative path from rules_path as namespace
                namespace = str(rule_file.relative_to(rules_path).parent)
                if namespace == ".":
                    namespace = "default"
                compiler.new_namespace(namespace)
                compiler.add_source(rule_content)
                compiled_count += 1
            except Exception as e:
                # Log warning but continue with other rules
                print(f"[WARNING] Failed to compile YARA rule {rule_file}: {e}")
                failed_count += 1
                continue

        try:
            rules = compiler.build()
            print(f"[INFO] Successfully compiled {compiled_count} rule files ({failed_count} failed)")
            return rules
        except Exception as e:
            print(f"[ERROR] Failed to build YARA rules: {e}")
            return None

    @classmethod
    def compile_rules(cls, force_reload: bool = False) -> Optional[yara_x.Rules]:
        """
        Get compiled YARA rules, loading from cache, .yarac file, or compiling from source.

        Priority:
        1. Return cached rules if available
        2. Load pre-compiled .yarac file if it exists
        3. Compile from source .yar/.yara files

        Args:
            force_reload: If True, ignore cache and reload rules

        Returns:
            Compiled YARA rules or None if no rules found
        """
        rules_path = cls.get_yara_rules_path()

        # Return cached rules if available and path hasn't changed
        if (
            cls._compiled_rules is not None
            and cls._rules_path == rules_path
            and not force_reload
        ):
            return cls._compiled_rules

        # Try loading pre-compiled rules first
        rules = cls.load_compiled_rules()

        # If no pre-compiled rules, compile from source
        if rules is None:
            rules = cls.compile_rules_from_source()

        # Cache the rules
        if rules is not None:
            cls._compiled_rules = rules
            cls._rules_path = rules_path

        return rules

    @classmethod
    def compile_and_save(cls, output_path: Optional[Path] = None) -> bool:
        """
        Compile all YARA rules from source and save to a .yarac file.

        This is useful for pre-compiling rules for faster loading in production.

        Args:
            output_path: Path to save compiled rules (default: yara/compiled_rules.yarac)

        Returns:
            True if successful, False otherwise
        """
        if output_path is None:
            output_path = cls.get_compiled_rules_path()

        # Force compile from source
        rules = cls.compile_rules_from_source()
        if rules is None:
            print("[ERROR] No rules to compile")
            return False

        try:
            # Ensure parent directory exists
            output_path.parent.mkdir(parents=True, exist_ok=True)

            with open(output_path, "wb") as f:
                rules.serialize_into(f)

            print(f"[INFO] Saved compiled YARA rules to {output_path}")
            return True
        except Exception as e:
            print(f"[ERROR] Failed to save compiled rules: {e}")
            return False

    def _extract_yara_matches(self) -> Tuple[List[YaraMatch], Dict[str, YaraRule]]:
        """
        Scan the binary with compiled YARA rules.

        Returns:
            Tuple of (matches list, rules dict) for each matching rule
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        compiled_rules = self.compile_rules()
        if compiled_rules is None:
            self.log.warning("No YARA rules found or compiled")
            return [], {}

        matches = []
        rules = {}

        try:
            # Scan the binary data
            scan_results = compiled_rules.scan(self.binary)

            # Process each matching rule
            for rule in scan_results.matching_rules:
                rule_name = rule.identifier

                # Extract rule metadata and store rule (deduplicated by name)
                if rule_name not in rules:
                    meta = {}
                    for identifier, value in rule.metadata:
                        meta[identifier] = str(value)
                    rules[rule_name] = YaraRule(
                        rule_name=rule_name,
                        rule_tags=list(rule.tags),
                        rule_meta=meta,
                    )

                # Extract matched string identifiers
                matched_strings = []
                for pattern in rule.patterns:
                    for match in pattern.matches:
                        matched_strings.append(pattern.identifier)

                # Remove duplicates from matched strings
                matched_strings = list(set(matched_strings))

                yara_match = YaraMatch(
                    rule_name=rule_name,
                    match_strings=matched_strings,
                )
                matches.append(yara_match)

                self.log.debug(
                    f"YARA match: {rule_name} (tags: {list(rule.tags)})"
                )

        except Exception as e:
            self.log.error(f"Error scanning with YARA: {e}")
            return [], {}

        return matches, rules

    def extract(self) -> Optional[List[YaraMatch]]:
        """
        Extract YARA matches from the binary.

        Returns:
            List of YaraMatch objects or None on error
        """
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self.matches, self.rules = self._extract_yara_matches()
            return self.matches if self.matches else None
        except Exception as e:
            self.log.error(f"Error extracting YARA matches: {e}")
            return None

    def tag(self) -> str:
        """Return the tag for this extractor."""
        return Tag.YARA.value

    def get_clickhouse_table(self) -> str:
        """Return the ClickHouse table name for YARA matches."""
        return "yara_matches"

    def get_clickhouse_tables(self) -> Dict[str, str]:
        """Return all ClickHouse table names for multi-table support."""
        return {
            'rules': 'yara_rules',
            'matches': 'yara_matches',
        }

    def prepare_export_data(self, exporter_type: str) -> Any:
        """
        Prepare data for export to the specified exporter type.

        Uses optimized normalized schema with two tables:
        - yara_rules: Rule metadata with rule_id (UInt64 hash)
        - yara_matches: Matches with binary sha256 (32 bytes) and rule_id

        Args:
            exporter_type: The type of exporter (e.g., 'ClickHouseExporter')

        Returns:
            Data formatted for the specified exporter
        """

        if exporter_type == "ClickHouseExporter":
            if not self.matches:
                return None

            current_time = datetime.now(timezone.utc)
            source_collection = DEFAULT_SOURCE_COLLECTION

            # Convert sha256 hex to binary (32 bytes)
            sha256_binary = sha256_hex_to_binary(self.sha256)

            # Build rules data from self.rules (deduplicated by rule_id)
            rules_data = {}  # rule_id -> rule_data
            for rule_name, rule in self.rules.items():
                rule_content = f"rule {rule_name} {{ }}"  # Simplified for now
                rule_id = generate_rule_id(rule_content)
                if rule_id not in rules_data:
                    rules_data[rule_id] = [
                        rule_id,
                        rule.rule_name,
                        source_collection,
                        current_time,  # ingested_at
                        "",  # rule_text (empty for now, populated during sync)
                        json.dumps(rule.rule_meta),
                        rule.rule_tags,
                    ]

            # Build matches data
            matches_data = []
            for match in self.matches:
                rule_content = f"rule {match.rule_name} {{ }}"
                rule_id = generate_rule_id(rule_content)

                matches_data.append([
                    sha256_binary,  # Binary sha256 (32 bytes)
                    rule_id,
                    match.rule_name,
                    current_time,  # scan_date
                    match.match_strings,
                ])

            return {
                'multi_table': True,
                'rules': {
                    'table': 'yara_rules',
                    'data': list(rules_data.values()),
                    'column_names': [
                        'rule_id',
                        'rule_name',
                        'source_collection',
                        'ingested_at',
                        'rule_text',
                        'rule_meta',
                        'rule_tags',
                    ],
                    'column_type_names': [
                        'UInt64',
                        'String',
                        'LowCardinality(String)',
                        "DateTime64(3, 'UTC')",
                        'String',
                        'JSON',
                        'Array(LowCardinality(String))',
                    ],
                },
                'matches': {
                    'table': 'yara_matches',
                    'data': matches_data,
                    'column_names': [
                        'sha256',
                        'rule_id',
                        'rule_name',
                        'scan_date',
                        'match_strings',
                    ],
                    'column_type_names': [
                        'FixedString(32)',  # Binary sha256
                        'UInt64',
                        'LowCardinality(String)',
                        "DateTime64(3, 'UTC')",
                        'Array(String)',
                    ],
                },
            }

        return None


def sync_rules_to_db(source_collection: str = None) -> bool:
    """
    Sync all YARA rules from source files to the database.

    This ensures all rules exist in yara_rules table before scanning begins.
    Should be run before batch scanning or in container initialization.

    Args:
        source_collection: Source collection name (default from env)

    Returns:
        True if successful, False otherwise
    """
    from redb import settings

    source_collection = source_collection or DEFAULT_SOURCE_COLLECTION
    rules_path = YaraExtractor.get_yara_rules_path()

    if not rules_path.exists():
        print(f"[ERROR] Rules path does not exist: {rules_path}")
        return False

    # Find all rule files
    rule_files = []
    for ext in ["*.yar", "*.yara"]:
        rule_files.extend(rules_path.rglob(ext))

    if not rule_files:
        print(f"[INFO] No rule files found in {rules_path}")
        return True

    print(f"[INFO] Syncing {len(rule_files)} rule files to database...")

    current_time = datetime.now(timezone.utc)
    rules_data = []
    total_rules = 0

    for rule_file in rule_files:
        try:
            with open(rule_file, "r", encoding="utf-8") as f:
                file_content = f.read()

            # Parse individual rules from file (handles multiple rules per file)
            parsed_rules = parse_yara_rules(file_content)

            for rule in parsed_rules:
                rule_id = generate_rule_id(rule['rule_text'])

                rules_data.append([
                    rule_id,
                    rule['rule_name'],
                    source_collection,
                    current_time,
                    rule['rule_text'],
                    json.dumps(rule['rule_meta']),
                    rule['rule_tags'],
                ])
                total_rules += 1

        except Exception as e:
            print(f"[WARNING] Failed to parse rule file {rule_file}: {e}")
            continue

    print(f"[INFO] Parsed {total_rules} individual rules from {len(rule_files)} files")

    if not rules_data:
        print("[INFO] No rules to sync")
        return True

    # Insert rules to database
    try:
        client = settings.create_clickhouse_client()
        table = "yara_rules"

        client.insert(
            table,
            rules_data,
            column_names=[
                'rule_id', 'rule_name', 'source_collection',
                'ingested_at', 'rule_text', 'rule_meta', 'rule_tags'
            ],
            column_type_names=[
                'UInt64', 'String', 'LowCardinality(String)',
                "DateTime64(3, 'UTC')", 'String', 'JSON', 'Array(LowCardinality(String))'
            ]
        )

        print(f"[INFO] Successfully synced {len(rules_data)} rules to {table}")
        client.close()
        return True

    except Exception as e:
        print(f"[ERROR] Failed to sync rules to database: {e}")
        return False


# CLI utility for pre-compiling rules and syncing
if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description="YARA Rules Management Utility")
    parser.add_argument(
        "--compile",
        action="store_true",
        help="Compile all YARA rules and save to .yarac file",
    )
    parser.add_argument(
        "--sync-rules",
        action="store_true",
        help="Sync all YARA rules to the database (run before batch scanning)",
    )
    parser.add_argument(
        "--output",
        type=str,
        help="Output path for compiled rules (default: yara/compiled_rules.yarac)",
    )
    parser.add_argument(
        "--rules-path",
        type=str,
        help="Path to YARA rules directory (default: yara/)",
    )
    parser.add_argument(
        "--source-collection",
        type=str,
        help="Source collection name for rules (default: from YARA_SOURCE_COLLECTION env)",
    )

    args = parser.parse_args()

    if args.rules_path:
        os.environ["YARA_RULES_PATH"] = args.rules_path

    if args.compile:
        output_path = Path(args.output) if args.output else None
        success = YaraExtractor.compile_and_save(output_path)
        if not success:
            exit(1)

    if args.sync_rules:
        success = sync_rules_to_db(args.source_collection)
        if not success:
            exit(1)

    if not args.compile and not args.sync_rules:
        parser.print_help()