Xianghan Zheng

100 papers B 1C 11Journal 56Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Earth Sci. Informatics
Wenjie Qin, Yuyi Zhang, Xianghan Zheng, Jingping Hu, Huijie Hou, Jiakuan Yang
2026 J jnl
Eng. Appl. Artif. Intell.
Kehuan Yan, Peichao Lai, Xianghan Zheng, Yang Yang, Yi Ren, Tuyatsetseg Badarch, Yiwei Chen
2025 conf
WASA (1)
Jingyuan Liu, Wei Ren, Ningbo Liu, Xianghan Zheng
2025 conf
WASA (3)
Xin Yang, Weiqi Zeng, Ruoting Xiong, Wei Ren, Xianghan Zheng
2025 conf
KSEM (4)
Jinge Ma, Jia Duan, Xi Liu, Xianghan Zheng, Wei Ren
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Guang Li, Yangtian Mi, Jieying Zhou, Xianghan Zheng, Weigang Wu
2025 J jnl
Neurocomputing
Kehuan Yan, Peichao Lai, Yang Yang, Yi Ren, Tuyatsetseg Badarch, Yiwei Chen, Xianghan Zheng
2024 conf
ICA3PP (4)
Xinyu Liu, Wei Ren, Wenmao Liu, Xianghan Zheng
2024 conf
PervasiveHealth (1)
Jianxian Zhang, Xianghan Zheng, Huan Wang, Jing Cai, Ying Liu
2024 J jnl
Comput. Commun.
Yonghua Zhan, Yang Yang, Bixia Yi, Renjie He, Rui Shi, Xianghan Zheng
2024 conf
ICA3PP (6)
Jiayun Wu, Wei Ren, Xianchao Zhang, Xianghan Zheng
2024 J jnl
Pervasive Mob. Comput.
Zhiqiang Du, Yunliang Li, Yanfang Fu, Xianghan Zheng
2024 J jnl
Int. J. Mach. Learn. Cybern.
Jinhuang Ye, Xiaozhi Gao, Zuoyong Li, Jiawei Wu, Xiaofeng Xu, Xianghan Zheng
2024 B conf
TrustCom
Huiying Zou, Jia Duan, Xi Liu, Wei Ren, Tao Li, Xianghan Zheng, Kim-Kwang Raymond Choo
2024 J jnl
Sensors
Yonghua Zhan, Weipeng Xie, Rui Shi, Yunhu Huang, Xianghan Zheng
2024 J jnl
IEEE Internet Things J.
Zheyi Chen, Junjie Zhang, Xianghan Zheng, Geyong Min, Jie Li, Chunming Rong
2024 conf
CNIOT
Yimi Chen, Xianghan Zheng, Yichen Zhan
2024 J jnl
Sensors
Zeli Wang, Xincong Yang, Xianghan Zheng, Heng Li
2023 conf
ICCAI
Yilin Guo, Xing Lin, Xianghan Zheng, Yuanfang Gan
2023 conf
AIS&P (2)
Gong Wang, Xianghan Zheng, Lingjing Zeng, Weipeng Xie
2023 conf
ICMAI
Xianghan Zheng, Yimi Chen, Zhengzheng Li, Renjie He
2023 J jnl
Int. J. Data Warehous. Min.
Wenqing Yang, Xianghan Zheng, Qiongxia Huang, Yu Liu, Yimi Chen, Zhigang Song
2023 J jnl
IEEE Trans. Cloud Comput.
Yang Yang, Robert H. Deng, Wenzhong Guo, Hongju Cheng, Xiangyang Luo, Xianghan Zheng, Chunming Rong
2023 C conf
ICCC
Xianghan Zheng, Wenyan Zhang, Jianxian Zhang, Weipeng Xie
2023 J jnl
Sensors
Ming Li, Jianshan Zhang, Jingfeng Lin, Zheyi Chen, Xianghan Zheng
2023 J jnl
IEEE Internet Things J.
Xing Chen, Zewei Yao, Zheyi Chen, Geyong Min, Xianghan Zheng, Chunming Rong
2023 J jnl
IEEE Trans. Cloud Comput.
Xing Chen, Lijian Yang, Zheyi Chen, Geyong Min, Xianghan Zheng, Chunming Rong
2023 conf
AIS&P (2)
Jinhuang Ye, Jiawei Wu, Zuoyong Li, Xianghan Zheng
2023 J jnl
IEEE Trans. Serv. Comput.
Yang Yang, Chunming Rong, Xianghan Zheng, Hongju Cheng, Victor Chang, Xiangyang Luo, Zuoyong Li
2022 J jnl
Sensors
Jianshan Zhang, Ming Li, Xianghan Zheng, Ching-Hsien Hsu
2022 J jnl
Peer-to-Peer Netw. Appl.
Zheyi Chen, Hongqiang Zheng, Jianshan Zhang, Xianghan Zheng, Chunming Rong
2022 J jnl
IEEE Trans. Cloud Comput.
Yang Yang, Robert H. Deng, Ximeng Liu, Yongdong Wu, Jian Weng, Xianghan Zheng, Chunming Rong
2022 J jnl
IEEE Trans. Cloud Comput.
Xing Chen, Fangning Zhu, Zheyi Chen, Geyong Min, Xianghan Zheng, Chunming Rong
2022 J jnl
Comput. J.
Wei Gao, Liqun Chen, Chunming Rong, Kaitai Liang, Xianghan Zheng, Jiangshan Yu
2021 J jnl
J. Netw. Comput. Appl.
Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo
2021 J jnl
Inf. Sci.
Tiantian Li, Wei Ren, Yuexin Xiang, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo, Gautam Srivastava
2021 J jnl
IEEE Trans. Netw. Sci. Eng.
Liping Zhang, Zhen Wei, Wei Ren, Xianghan Zheng, Kim-Kwang Raymond Choo, Neal N. Xiong
2020 J jnl
IEEE Access
Zheyi Chen, Kai Lin, Bing Lin, Xing Chen, Xianghan Zheng, Chunming Rong
2020 J jnl
Int. J. Crowd Sci.
Kai Zheng, Xianjun Yang, Yilei Wang, Yingjie Wu, Xianghan Zheng
2020 J jnl
IEEE Access
Zheyi Chen, Junqin Hu, Xing Chen, Jia Hu, Xianghan Zheng, Geyong Min
2020 J jnl
IEEE Trans. Cloud Comput.
Yang Yang, Xianghan Zheng, Chunming Rong, Wenzhong Guo
2020 J jnl
IEEE Trans. Cloud Comput.
Yang Yang, Ximeng Liu, Xianghan Zheng, Chunming Rong, Wenzhong Guo
2020 J jnl
CoRR
Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo
2020 J jnl
Multim. Tools Appl.
Yang Yang, Ximeng Liu, Wenzhong Guo, Xianghan Zheng, Chen Dong, Zhiquan Liu
2020 J jnl
IEEE Access
Zheyi Chen, Lijian Yang, Yinhao Huang, Xing Chen, Xianghan Zheng, Chunming Rong
2020 J jnl
CoRR
Yang Yang, Robert H. Deng, Ximeng Liu, Yongdong Wu, Jian Weng, Xianghan Zheng, Chunming Rong
2020 J jnl
Multim. Tools Appl.
Jiawen Lin, Lun Yu, Qian Weng, Xianghan Zheng
2020 J jnl
Future Gener. Comput. Syst.
Xing Chen, Haijiang Wang, Yun Ma, Xianghan Zheng, Longkun Guo
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Xueying Dong, Xianghan Zheng, Xiaoliang Lu, Xiaowei Lin
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Weipeng Xie, Xianghan Zheng, Xiaoliang Lu, Xiaowei Lin, Xionghui Fan
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Yang Yang, Jialiang Chen, Xianghan Zheng, Ximeng Liu, Wenzhong Guo, Hairong Lv
2019 J jnl
IEEE Access
Yang Yang, Hongrui Lin, Ximeng Liu, Wenzhong Guo, Xianghan Zheng, Zhiquan Liu
2019 J jnl
Multim. Tools Appl.
Xianghan Zheng, Wenfei Zheng, Yang Yang, Wenzhong Guo, Victor Chang
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Ouyang Yi, Xianghan Zheng, Xiaoliang Lu, Xiaowei Lin, Shengyin Zhang
2019 J jnl
Concurr. Comput. Pract. Exp.
Xianghan Zheng, Chunming Rong, Tuyatsetseg Badarch
2019 conf
PRCV (2)
Liqing Chen, Yifan Zhuo, Yingjie Wu, Yilei Wang, Xianghan Zheng
2019 J jnl
Inf. Sci.
Yang Yang, Xianghan Zheng, Wenzhong Guo, Ximeng Liu, Victor Chang
2019 conf
ISPA/BDCloud/SocialCom/SustainCom
Haijiang Wang, Yun Ma, Xianghan Zheng, Xing Chen, Longkun Guo
2018 J jnl
J. Supercomput.
Yuanlong Yu, Zhifan Ye, Xianghan Zheng, Chunming Rong
2018 J jnl
Future Gener. Comput. Syst.
Yang Yang, Xianghan Zheng, Ximeng Liu, Shangping Zhong, Victor Chang
2018 J jnl
Multim. Tools Appl.
Gang Zhang, Ching-Hsien Robert Hsu, Huadong Lai, Xianghan Zheng
2018 J jnl
Multim. Tools Appl.
Xing Hu, Chunming Tang, Duncan S. Wong, Xianghan Zheng
2018 J jnl
Multim. Tools Appl.
Yang Yang, Xianghan Zheng, Victor Chang, Shaozhen Ye, Chunming Tang
2018 J jnl
Future Gener. Comput. Syst.
Yang Yang, Xianghan Zheng, Wenzhong Guo, Ximeng Liu, Victor I. Chang
2017 J jnl
J. Cloud Comput.
Xing Chen, Shihong Chen, Xue'e Zeng, Xianghan Zheng, Ying Zhang, Chunming Rong
2017 J jnl
J. Netw. Comput. Appl.
Yang Yang, Xianghan Zheng, Chunming Tang
2017 J jnl
Concurr. Comput. Pract. Exp.
Yang Yang, Xianghan Zheng, Victor Chang, Chunming Tang
2016 C conf
ISPDC
Xueying Zhang, Xianghan Zheng
2016 J jnl
J. Supercomput.
Xianghan Zheng, Xueying Zhang, Yuanlong Yu, M. Tahar Kechadi, Chunming Rong
2016 J jnl
Concurr. Comput. Pract. Exp.
Xianghan Zheng, Dongyun An, Xing Chen, Wenzhong Guo
2016 C conf
ISPDC
Kun Li, Xianghan Zheng, Chunming Rong, Yuanlong Yu, Riqing Chen
2016 J jnl
Concurr. Comput. Pract. Exp.
Weizhong Qiang, Xianghan Zheng, Ching-Hsien Hsu
2015 conf
MIWAI
Jiangyong Chen, Xianghan Zheng
2015 conf
ICSDM
Xueying Zhang, Xianghan Zheng
2015 J jnl
J. Cloud Comput.
Quan Zhou, Chunming Tang, Xianghan Zheng, Chunming Rong
2015 conf
CloudCom-Asia
Yanping Liu, Xingtu Lan, Xing Chen, Xin Feng, Xianghan Zheng, Wenzhong Guo
2015 conf
UIC/ATC/ScalCom
Yichu Qu, Zhiyong Yu, Xianghan Zheng
2015 ed.
CloudCom-Asia
Weizhong Qiang, Xianghan Zheng, Ching-Hsien Hsu
2015 J jnl
Neurocomputing
Xianghan Zheng, Zhipeng Zeng, Zheyi Chen, Yuanlong Yu, Chunming Rong
2015 J jnl
EURASIP J. Wirel. Commun. Netw.
Yuzhong Chen, Mingyue Fang, Song Shi, Wenzhong Guo, Xianghan Zheng
2015 C conf
CloudCom
Dongyun An, Xianghan Zheng, Chunming Rong, M. Tahar Kechadi, Chongcheng Chen
2015 conf
MIWAI
Kun Li, Xianghan Zheng, Chunming Rong
2015 conf
ICSDM
Taiping Lai, Xianghan Zheng
2015 conf
MIWAI
Fengqing Chen, Xianghan Zheng
2015 conf
MIWAI
Dongyun An, Xianghan Zheng
2015 ed.
MIWAI
Antonis Bikakis, Xianghan Zheng
2015 C conf
CloudCom
Jie Cheng, Chunming Rong, Huijuan Ye, Xianghan Zheng
2015 conf
CloudCom-Asia
Jiangyong Chen, Xianghan Zheng, Chunming Rong
2014 J jnl
J. Cloud Comput.
Xing Chen, Ying Zhang, Gang Huang, Xianghan Zheng, Wenzhong Guo, Chunming Rong
2014 C conf
CloudCom
Bing Lin, Wenzhong Guo, Xianghan Zheng, Hong Zhang, Chunming Rong, Guolong Chen
2014 C conf
CloudCom
Zhipeng Zeng, Xianghan Zheng, Guolong Chen, Yuanlong Yu
2013 conf
IEEE WISA
Nan Chen, Zheyi Chen, Xianghan Zheng, Guolong Chen
2012 C conf
CloudCom
Lingshan Xu, Xianghan Zheng, Wenzhong Guo, Guolong Chen
2012 conf
IPDPS Workshops
Xianghan Zheng, Wenzhong Guo, Shangping Zhong, Zhiyong Yu
2012 C conf
CloudCom
Xianghan Zheng, Wenzhong Guo, Nan Chen, Guolong Chen
2010 J jnl
Peer-to-Peer Netw. Appl.
Xianghan Zheng, Vladimir A. Oleshchuk
2010 conf
CTS
Xianghan Zheng, Vladimir A. Oleshchuk
2010 C conf
WISTP
Xianghan Zheng, Vladimir A. Oleshchuk
2009 C conf
SIN
Xianghan Zheng, Vladimir A. Oleshchuk
2009 conf
ICITST
Xianghan Zheng, Vladimir A. Oleshchuk
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()