Cecilia Zanni-Merk

117 papers B 40C 14Journal 33Unranked 28
YearRankTypeTitle / Venue / Authors
2025 B conf
RuleML+RR
Léa Charbonnier, Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2025 B conf
KES
Pavel Kosov, Nahla El Kadhi, Cecilia Zanni-Merk, Latafat A. Gardashova
2025 conf
FLLM
Asma Dhaouadi, Cecilia Zanni-Merk
2024 J jnl
Semantic Web
Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2024 B conf
KES
Pavel Kosov, Nahla El Kadhi, Cecilia Zanni-Merk, Latafat A. Gardashova
2024 C conf
ISCC
José Edilson Silva Filho, Nícolas de Araújo Moreira, Mathieu Bourgais, Cecilia Zanni-Merk, Laurent Vercouter, Jarbas Aryel Nunes da Silveira, Walter Abrahão dos Santos
2024 conf
ISWC (Posters/Demos/Industry)
Léa Charbonnier, Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2024 B conf
KES
Anar Mammadli, Elviz Ismayilov, Cecilia Zanni-Merk
2024 conf
MIE
Gabriel H. A. Medeiros, Lina Fatima Soualmia, Cecilia Zanni-Merk
2024 B conf
KES
Samir Aliyev, Nigar Ismayilova, Cecilia Zanni-Merk
2024 conf
NLP4KGC@SEMANTiCS
Marion Schaeffer, Matthias Sesboüé, Léa Charbonnier, Nicolas Delestre, Jean-Philippe Kotowicz, Cecilia Zanni-Merk
2024 B conf
KES
Gabriel H. A. Medeiros, Lina Fatima Soualmia, Cecilia Zanni-Merk
2024 B conf
KES
Léa Charbonnier, Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2024 J jnl
Semantic Web
Matthieu Bellucci, Nicolas Delestre, Nicolas Malandain, Cecilia Zanni-Merk
2024 conf
EGC
Marion Schaeffer, Christophe Bouvard, Jean-Philippe Kotowicz, Cecilia Zanni-Merk
2023 J jnl
Simul.
Ali Ayadi, Claudia S. Frydman, Wissame Laddada, Isabelle Imbert, Cecilia Zanni-Merk, Lina Fatima Soualmia
2023 B conf
KES
Marion Schaeffer, Matthias Sesboüé, Jean-Philippe Kotowicz, Nicolas Delestre, Cecilia Zanni-Merk
2023 J jnl
Semantic Web
Mirna El Ghosh, Nicolas Delestre, Jean-Philippe Kotowicz, Cecilia Zanni-Merk, Habib Abdulrab
2023 B conf
KES
Mathieu Bourgais, Franco Giustozzi, Laurent Vercouter, Cecilia Zanni-Merk
2022 J jnl
Inf.
Wei Yan, Cecilia Zanni-Merk, Denis Cavallucci, Qiushi Cao, Liang Zhang, Zengyan Ji
2022 B conf
KES
Matthias Sesboüé, Nicolas Delestre, Jean-Philippe Kotowicz, Ali Khudiyev, Cecilia Zanni-Merk
2022 conf
ICIMTH
Wissame Laddada, Cecilia Zanni-Merk, Lina Fatima Soualmia
2022 B conf
KES
Mathieu Bourgais, Cecilia Zanni-Merk, Rauf Fatali, Nadir Alizada
2022 B conf
KES
Matthieu Bellucci, Nicolas Delestre, Nicolas Malandain, Cecilia Zanni-Merk
2022 J jnl
Robotics Comput. Integr. Manuf.
Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann, Cinzia Giannetti
2022 B ed.
KES
Matteo Cristani, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain
2022 conf
KDIR
Marie Gribouval, Cecilia Zanni-Merk, Davy Monticolo
2022 J jnl
Simul.
Cecilia Zanni-Merk
2022 ch.
Advances in Selected Artificial Intelligence Areas
Cecilia Zanni-Merk, Anne Jeannin-Girardon
2022 B conf
KES
Gabriel H. A. Medeiros, Lina Fatima Soualmia, Cecilia Zanni-Merk, Ramiz Hagverdiyev
2021 conf
KES-AMSTA
Mohamed Mouatacim, Jean-Philippe Kotowicz, Cecilia Zanni-Merk
2021 conf
ANNSIM
Ali Ayadi, Claudia S. Frydman, Wissame Laddada, Lina Fatima Soualmia, Cecilia Zanni-Merk, India L'Hote, Emeline Grellet, Isabelle Imbert
2021 ch.
IFIP's Exciting First 60+ Years
Denis Cavallucci, Cecilia Zanni-Merk
2021 B conf
KES
Wei Yan, Cecilia Zanni-Merk, Denis Cavallucci, Liang Zhang, Jihua Wang
2021 J jnl
Multim. Tools Appl.
Wiem Abbes, Dorra Sellami, Stella Marc-Zwecker, Cecilia Zanni-Merk
2021 B ed.
KES
Jaroslaw Watróbski, Wojciech Salabun, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain
2021 B conf
KES
Wissame Laddada, Lina Fatima Soualmia, Cecilia Zanni-Merk, Ali Ayadi, Claudia S. Frydman, India L'Hote, Isabelle Imbert
2021 B conf
KES
Matthieu Bellucci, Nicolas Delestre, Nicolas Malandain, Cecilia Zanni-Merk
2020 conf
ICAART (2)
Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich
2020 J jnl
Semantic Web
Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich
2020 B ed.
KES
Matteo Cristani, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain
2020 conf
KES-IDT
Gabriel H. A. Medeiros, Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet
2020 J jnl
Cybern. Syst.
Edward Szczerbicki, Ngoc Thanh Nguyen, Cecilia Zanni-Merk
2020 J jnl
Cybern. Syst.
Caterine Silva de Oliveira, Franco Giustozzi, Cecilia Zanni-Merk, Cesar Sanín, Edward Szczerbicki
2020 C conf
KEOD
Mirna El Ghosh, Cecilia Zanni-Merk, Nicolas Delestre, Jean-Philippe Kotowicz, Habib Abdulrab
2020 conf
RuleML+RR (Supplement)
Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2020 J jnl
Cybern. Syst.
Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, François de Bertrand de Beuvron, Christoph Reich
2019 conf
TFC
Pei Zhang, Denis Cavallucci, Cecilia Zanni-Merk
2019 B conf
KES
Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2019 B conf
KES
Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich
2019 J jnl
J. Web Semant.
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Julie Dawn Thompson, Saoussen Krichen
2019 J jnl
J. Intell. Fuzzy Syst.
Cecilia Zanni-Merk, Edward Szczerbicki
2019 B conf
KES
Xin Huang, Cecilia Zanni-Merk, Bruno Crémilleux
2019 conf
ISAT (1)
Cecilia Zanni-Merk
2019 B conf
KES
Ali Ayadi, Ahmed Samet, François de Bertrand de Beuvron, Cecilia Zanni-Merk
2019 J jnl
Cybern. Syst.
Qiushi Cao, Franco Giustozzi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich
2018 B conf
KES
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Saoussen Krichen
2018 B conf
KES
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Saoussen Krichen
2018 B conf
KES
Franco Giustozzi, Julien Saunier, Cecilia Zanni-Merk
2018 J jnl
Comput. Ind.
Pei Zhang, Amira Essaid, Cecilia Zanni-Merk, Denis Cavallucci, Sarra Ghabri
2018 conf
TFC
Pei Zhang, Denis Cavallucci, Zhonghang Bai, Cecilia Zanni-Merk
2018 J jnl
Data Technol. Appl.
Cecilia Zanni-Merk, Claudia S. Frydman, Anne Håkansson
2018 C conf
KEOD
Qiushi Cao, Cecilia Zanni-Merk, Christoph Reich
2017 B conf
KES
Bruno Albert, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Maurice Pillet, Jean-Luc Maire, Christophe Knecht, Julien Charrier
2017 conf
CIVEMSA
Bruno Albert, Jean-Luc Maire, Maurice Pillet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Julien Charrier, Christophe Knecht
2017 B conf
KES
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Saoussen Krichen
2017 B conf
KES
Ali Ayadi, François de Bertrand de Beuvron, Cecilia Zanni-Merk, Saoussen Krichen
2017 B conf
KES
Pei Zhang, Amira Essaid, Cecilia Zanni-Merk, Denis Cavallucci
2017 B ed.
KES
Cecilia Zanni-Merk, Claudia S. Frydman, Carlos Toro, Yulia Hicks, Robert J. Howlett, Lakhmi C. Jain
2017 C conf
AICCSA
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Saoussen Krichen
2016 C conf
KEOD
Bruno Albert, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Jean-Luc Maire, Maurice Pillet, Julien Charrier, Christophe Knecht
2016 C conf
IC3K
Bruno Albert, François de Bertrand de Beuvron, Cecilia Zanni-Merk, Jean-Luc Maire, Maurice Pillet, Julien Charrier, Christophe Knecht
2016 C conf
FOIS
Fernando Roda, Cecilia Zanni-Merk
2016 C conf
KEOD
Amira Essaid, Quynh Nguyen Thi, Cecilia Zanni-Merk
2016 B conf
KES
Pierre Masai, Cecilia Zanni-Merk
2016 B conf
KES
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Saoussen Krichen
2016 J jnl
Int. J. Knowl. Syst. Sci.
Carlos Catania, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Pierre Collet
2016 C conf
KEOD
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron
2016 conf
IC
Bruno Albert, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Jean-Luc Maire, Maurice Pillet, Julien Charrier, Christophe Knecht
2016 conf
SWAT4LS
Ali Ayadi, Cecilia Zanni-Merk, François de Bertrand de Beuvron
2015 J jnl
Int. J. Knowl. Syst. Sci.
Cecilia Zanni-Merk, Stella Marc-Zwecker, Cédric Wemmert, François de Bertrand de Beuvron
2015 B conf
KES
Carlos Catania, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Pierre Collet
2015 J jnl
Knowl. Based Syst.
Wei Yan, Hong Liu, Cecilia Zanni-Merk, Denis Cavallucci
2015 C conf
KEOD
Cecilia Zanni-Merk
2015 B conf
KES
Pierre Masai, Pierre Parrend, Cecilia Zanni-Merk
2014 B conf
KES
Nathalie Gartiser, Cecilia Zanni-Merk, Lucas Boullosa, Ana Casali
2014 J jnl
Eng. Appl. Artif. Intell.
Wei Yan, Cecilia Zanni-Merk, Denis Cavallucci, Pierre Collet
2014 J jnl
Eng. Appl. Artif. Intell.
Wei Yan, Cecilia Zanni-Merk, Denis Cavallucci, Pierre Collet
2014 conf
ICSIBO
Pierre Parrend, Pierre Masai, Cecilia Zanni-Merk, Pierre Collet
2013 B conf
KES
Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci, Pierre Collet
2013 J jnl
Appl. Ontology
Cecilia Zanni-Merk, François de Bertrand de Beuvron, François Rousselot, Wei Yan
2013 C conf
IC3K
François de Bertrand de Beuvron, Stella Marc-Zwecker, Cecilia Zanni-Merk, Florence Le Ber
2013 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci, Pierre Collet
2013 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
François de Bertrand de Beuvron, Stella Marc-Zwecker, Anne Puissant, Cecilia Zanni-Merk
2013 conf
IC
Stella Marc-Zwecker, François de Bertrand de Beuvron, Cecilia Zanni-Merk, Florence Le Ber
2013 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci
2013 C conf
KEOD
Stella Marc-Zwecker, François de Bertrand de Beuvron, Cecilia Zanni-Merk, Florence Le Ber
2013 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
Manuel Graña, Ana Isabel González-Acuna, Cecilia Zanni-Merk
2013 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
Manuel Graña, Ana Isabel González-Acuna, Cecilia Zanni-Merk
2013 B conf
KES
Cecilia di Sciascio, Cecilia Zanni-Merk, Cédric Wemmert, Stella Marc-Zwecker, François de Bertrand de Beuvron
2012 B conf
KES
Maximiliano Cravero, François de Bertrand de Beuvron, Cecilia Zanni-Merk, Stella Marc-Zwecker
2012 B conf
KES
Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci, Pierre Collet
2012 J jnl
Comput. Ind.
François Rousselot, Cecilia Zanni-Merk, Denis Cavallucci
2011 conf
KES-AMSTA
Cecilia Zanni-Merk, Santiago Almiron, Dominique Renaud
2011 C conf
KEOD
Wei Yan, Cecilia Zanni-Merk, François Rousselot
2011 J jnl
Int. J. Knowl. Syst. Sci.
François Rousselot, Cecilia Zanni-Merk, François de Bertrand de Beuvron
2011 J jnl
Simul.
Philippe Bouché, Cecilia Zanni-Merk
2011 conf
KES (4)
Wei Yan, Cecilia Zanni-Merk, François Rousselot
2011 conf
KES (2)
Wei Yan, Cecilia Zanni-Merk, François Rousselot
2011 conf
IC
François Rousselot, François de Bertrand de Beuvron, Cecilia Zanni-Merk
2011 J jnl
Comput. Ind.
Cecilia Zanni-Merk, Denis Cavallucci, François Rousselot
2010 conf
KES (4)
Philippe Bouché, Cecilia Zanni-Merk, Nathalie Gartiser, Dominique Renaud, François Rousselot
2010 conf
EGC
François Rousselot, Cecilia Zanni-Merk, Denis Cavallucci
2009 C conf
KEOD
Dominique Renaud, Cecilia Zanni-Merk, François Rousselot
2009 conf
KES (1)
Alexis Bultey, Cecilia Zanni-Merk, François Rousselot, François de Bertrand de Beuvron
2009 J jnl
Comput. Ind.
Cecilia Zanni-Merk, Denis Cavallucci, François Rousselot
2009 conf
KES (1)
Cecilia Zanni-Merk, Philippe Bouché
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()