Jafar Biazar

55 papers Journal 55
YearRankTypeTitle / Venue / Authors
2025 J jnl
Int. J. Comput. Math.
Saman Bagherbana, Jafar Biazar, Hossein Aminikhah
2022 J jnl
J. Appl. Math.
Kazeem Issa, Jafar Biazar, T. O. Agboola, T. Aliu
2021 J jnl
J. Appl. Math.
Jafar Biazar, Saghi Safaei
2019 J jnl
J. Appl. Math.
Jafar Biazar, Roya Montazeri
2019 J jnl
J. Comput. Appl. Math.
Jafar Biazar, Khadijeh Sadri
2019 J jnl
Comput. Math. Methods Medicine
Bijan Hasani Lichae, Jafar Biazar, Zainab Ayati
2017 J jnl
Appl. Math. Comput.
Jafar Biazar, Mohammad Hosami
2016 J jnl
Adv. Numer. Anal.
Jafar Biazar, Mohammad Hosami
2012 J jnl
Int. J. Comput. Sci. Math.
Jafar Biazar, Mostafa Eslami
2012 J jnl
Comput. Math. Appl.
Jafar Biazar, H. Ebrahimi
2011 J jnl
Comput. Math. Appl.
Jafar Biazar, Mostafa Eslami
2011 J jnl
Comput. Math. Appl.
Jafar Biazar, Behzad Ghanbari, Mehdi Gholami Porshokouhi, Mohammad Gholami Porshokouhi
2011 J jnl
Comput. Math. Appl.
Jafar Biazar, Behzad Ghanbari
2011 J jnl
J. Comput. Appl. Math.
Jafar Biazar, Mehdi Gholami Porshokouhi, Behzad Ghanbari, Mohammad Gholami Porshokouhi
2010 J jnl
Int. J. Comput. Math.
Hossein Aminikhah, Jafar Biazar
2010 J jnl
Comput. Math. Appl.
Jafar Biazar, Behzad Ghanbari
2010 J jnl
Comput. Math. Appl.
Jafar Biazar, M. Gholami Porshokuhi, Behzad Ghanbari
2010 J jnl
CoRR
Keyvan Yahya, Jafar Biazar, Hossein Azari, Pouyan Rafiei Fard
2010 J jnl
CoRR
Keyvan Yahya, Jafar Biazar, Hossein Azari, Pouyan Rafiei Fard
2010 J jnl
J. Frankl. Inst.
Jafar Biazar, P. Gholamin, Kamyar Hosseini
2009 J jnl
Comput. Math. Appl.
Jafar Biazar, Hossein Aminikhah
2009 J jnl
Comput. Math. Appl.
Jafar Biazar, F. Badpeima, F. Azimi
2009 J jnl
Math. Comput. Model.
Jafar Biazar, Hossein Aminikhah
2009 J jnl
Comput. Math. Appl.
Jafar Biazar, Z. Ayati
2009 J jnl
Comput. Math. Appl.
Jafar Biazar, Hossein Aminikhah
2008 J jnl
Appl. Math. Lett.
Jafar Biazar, H. Ghazvini
2008 J jnl
Comput. Math. Appl.
Jafar Biazar, H. Ghazvini
2008 J jnl
Appl. Math. Comput.
Jafar Biazar, H. Ghazvini
2007 J jnl
Appl. Math. Comput.
S. H. Taheri, H. Ghazvini, Jafar Saberi-Nadjafi, Jafar Biazar
2007 J jnl
Comput. Math. Appl.
Jafar Biazar, H. Ghazvini
2007 J jnl
Appl. Math. Comput.
Jafar Biazar, H. Ghazvini
2007 J jnl
J. Frankl. Inst.
M. A. Rahman, S. Mustafiz, Jafar Biazar, Muhammet Köksal, M. Rafiqul Islam
2006 J jnl
Appl. Math. Comput.
Jafar Biazar, Mousa Ilie, Ali Khoshkenar
2006 J jnl
Appl. Math. Comput.
Jafar Biazar, Alireza Amirteimoori
2006 J jnl
Appl. Math. Comput.
Jafar Biazar, L. Farrokhi, M. Rafiqul Islam
2006 J jnl
Appl. Math. Comput.
Jafar Biazar, M. Tango, Rafiqul Islam
2006 J jnl
Appl. Math. Comput.
Jafar Biazar
2005 J jnl
Appl. Math. Comput.
Jafar Biazar, Roya Montazeri
2005 J jnl
Appl. Math. Comput.
Jafar Biazar, Mousa Ilie, Ali Khoshkenar
2005 J jnl
Appl. Math. Comput.
Jafar Biazar, A. R. Amirtaimoori
2005 J jnl
Appl. Math. Comput.
Jafar Biazar, H. Ebrahimi
2005 J jnl
Appl. Math. Comput.
Jafar Biazar
2004 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar, A. R. Vahidi
2004 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar, A. R. Vahidi
2004 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar, A. R. Vahidi
2004 J jnl
Appl. Math. Comput.
Jafar Biazar, Esmail Babolian, Rafiqul Islam
2004 J jnl
Appl. Math. Comput.
Jafar Biazar, Rafiqul Islam
2004 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar, A. R. Vahidi
2003 J jnl
Appl. Math. Comput.
Jafar Biazar, Esmail Babolian, G. Kember, A. Nouri, Rafiqul Islam
2003 J jnl
Appl. Math. Comput.
Jafar Biazar, Esmail Babolian, Rafiqul Islam
2003 J jnl
Appl. Math. Comput.
Jafar Biazar, M. Tango, Esmail Babolian, Rafiqul Islam
2003 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar
2002 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar
2002 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar
2002 J jnl
Appl. Math. Comput.
Esmail Babolian, Jafar Biazar
redb/extractors/capa.py
← Index redb/extractors/capa.py python
from dataclasses import asdict
import inspect
import json
import subprocess
import magic
from magika import Magika
from typing import Any, Dict, List, Tuple
from datetime import datetime, timezone

from redb.extractors.enum import Tag
from redb.models.dataclasses import CAPA
from redb.extractors.extractor import Extractor
from dotenv import load_dotenv
import os

load_dotenv(override=True)

class CAPAExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
    ):
        super().__init__(
            filepath, 
            log, 
            exporters,
            index_prefix, 
            elastic_index, 
            known_benign, 
            known_malicious
        )
        self.capa = None
        self.elastic_index = self.index_prefix + "-capa"

    def _replace_empty_keys(self, dictionary, replacement="default_empty_key"):
        """
        Replace empty keys in a dictionary with a specified replacement.

        Args:
        dictionary (dict): The input dictionary
        replacement (str): The replacement for empty keys (default: 'empty_key')

        Returns:
        dict: A new dictionary with empty keys replaced
        """
        # tmp_dict = {}
        # for k, v in dictionary.items():
        #     if k == '':
        #         tmp_dict[replacement] = dictionary[k]
        #     else:
        #         tmp_dict[k] = dictionary[k]
        # return tmp_dict
        return {(replacement if k == "" else k): v for k, v in dictionary.items()}

    def _extract_capa(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        TIMEOUT = int(os.getenv("CAPA_TIMEOUT")) # 5 minutes in seconds
        capa_command = [os.getenv("CAPA_PATH"), "-j", self.filepath] # COMMENT FOR TESTING ON MAC

        import signal

        # try:
        #     result = subprocess.run(
        #         capa_command, capture_output=True, text=True, check=True, timeout=TIMEOUT
        #     )
        # except subprocess.TimeoutExpired:
        #     self.log.error(f"The capa command timed out after {TIMEOUT} seconds")
        #     return {}
        # except subprocess.CalledProcessError as e:
        #     self.log.error(f"Error running capa: {e}")
        #     return {}

        # try:
        #     capa_output = json.loads(result.stdout)
        # except json.JSONDecodeError as e:
        #     self.log.error("Error parsing capa output: {e}")
        #     return {}

        # Create a process group for easier termination of all child processes
        try:
            # Start the process in a new process group
            process = subprocess.Popen(
                capa_command,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                preexec_fn=os.setsid  # Use os.setsid() to create a new process group
            )
            
            # Implement timeout handling manually
            try:
                stdout, stderr = process.communicate(timeout=TIMEOUT)
                # Process completed within timeout
                if process.returncode != 0:
                    self.log.error(f"Error running capa, return code: {process.returncode}, stderr: {stderr}")
                    return {}
            except subprocess.TimeoutExpired:
                # Kill the entire process group on timeout
                self.log.warning(f"The capa command timed out after {TIMEOUT} seconds, terminating process group")
                
                try:
                    # Send SIGTERM to the entire process group
                    os.killpg(process.pid, signal.SIGTERM)
                    
                    # Give it a moment to terminate gracefully
                    try:
                        process.wait(timeout=3)
                    except subprocess.TimeoutExpired:
                        # If it's still running after 3 seconds, send SIGKILL
                        self.log.warning("Process didn't terminate with SIGTERM, sending SIGKILL")
                        os.killpg(process.pid, signal.SIGKILL)
                        
                    process.wait()  # Make sure process resources are fully cleaned up
                except (ProcessLookupError, OSError) as e:
                    self.log.warning(f"Error while killing process: {e}")
                    
                return {}
                
            try:
                capa_output = json.loads(stdout)
            except json.JSONDecodeError as e:
                self.log.error(f"Error parsing capa output: {e}")
                return {}

            capa_dump = {}  # dictionalry of capabilities
            capabilities = set()  # list of capabilities
            namespaces = set()  # list of namespaces
            attack_dump = {}  # dictionary of tuples [tactic](technique, technique_id)
            tactics = set()  # list of tactics
            techniques = set()  # list of techniques
            techniques_id = set()  # list of techniques_id
            mbc_dump = {}  # dictionary of tuples [objective](behavior, behavior_id)
            mbc_objectives = set()  # list of objectives
            mbc_behaviors = set()  # list of behaviors
            mbc_behaviors_id = set()  # list of behaviors_id

            if isinstance(capa_output, dict) and "rules" in capa_output:
                rules = capa_output["rules"]
                if isinstance(rules, dict):
                    for rule_name, rule_data in rules.items():
                        if isinstance(rule_data, dict) and "meta" in rule_data:
                            meta = rule_data["meta"]
                            if isinstance(meta, dict):
                                # Process capabilities
                                namespace = meta.get("namespace", "").lower()
                                # if namespace != 'lib':
                                if namespace not in capa_dump:
                                    capa_dump[namespace] = []
                                    namespaces.add(namespace)
                                capa_dump[namespace].append(rule_name)
                                capabilities.add(rule_name)

                                # Process ATTACK information
                                if "attack" in meta:
                                    for attack_entry in meta["attack"]:
                                        tactic = attack_entry.get("tactic", "")
                                        technique = attack_entry.get("technique", "")
                                        id = attack_entry.get("id", "")
                                        if tactic and technique:
                                            if tactic in attack_dump:
                                                attack_dump[tactic].append((technique, id))
                                            else:
                                                attack_dump[tactic] = [(technique, id)]
                                            tactics.add(tactic)
                                            techniques.add(technique)
                                            techniques_id.add(id)

                                # Process MBC information
                                if "mbc" in meta:
                                    for mbc_entry in meta["mbc"]:
                                        objective = mbc_entry.get("objective", "")
                                        behavior = mbc_entry.get("behavior", "")
                                        id = mbc_entry.get("id", "")
                                        if objective and behavior:
                                            if objective in mbc_dump:
                                                mbc_dump[objective].append((behavior, id))
                                            else:
                                                mbc_dump[objective] = [(behavior, id)]
                                            mbc_objectives.add(objective)
                                            mbc_behaviors.add(behavior)
                                            mbc_behaviors_id.add(id)

            # return {
            #     'capabilities_all': json.dumps(capabilities_all, indent=2),
            #     'capabilities': list(capabilities),
            #     'namespaces': list(namespaces),
            #     'attack': json.dumps(attack, indent=2),
            #     'tactics': list(tactics),
            #     'techniques': list(techniques),
            #     'techniques_id': list(techniques_id),
            #     'mbc': json.dumps(mbc, indent=2),
            #     'mbc_objectives': list(mbc_objectives),
            #     'mbc_behaviors': list(mbc_behaviors),
            #     'mbc_behaviors_id': list(mbc_behaviors_id)
            # }

            capa_dump = self._replace_empty_keys(capa_dump)
            attack_dump = self._replace_empty_keys(attack_dump)
            mbc_dump = self._replace_empty_keys(mbc_dump)
            self.capa = CAPA(
                json.dumps(capa_dump, indent=2),
                list(capabilities),
                list(namespaces),
                json.dumps(attack_dump, indent=2),
                list(tactics),
                list(techniques),
                list(techniques_id),
                json.dumps(mbc_dump, indent=2),
                list(mbc_objectives),
                list(mbc_behaviors),
                list(mbc_behaviors_id),
            )
            self.log.debug(f"CAPA dump: {self.capa})")
            
        except Exception as e:
            self.log.error(f"Unexpected error in CAPA extraction: {str(e)}")
            # Try to clean up any process if possible
            if 'process' in locals() and process.poll() is None:
                try:
                    os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except:
                    pass
            return {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.capa
        elif exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)
            
            # Prepare data for multiple tables
            tables_data = {
                'multi_table': True,  # Flag for multi-table export
                
                # Raw data table
                'raw': {
                    'table': 'redb_capa',
                    'data': [[
                        self.sha256,
                        self.md5,
                        self.sha1,
                        current_time,
                        self.capa.capa_dump,  # capa_dump
                        self.capa.attack_dump,            # attack_dump
                        self.capa.mbc_dump                # mbc_dump
                    ]],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'capa_dump', 'attack_dump', 'mbc_dump'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'JSON', 'JSON', 'JSON'
                    ]
                },
                
                # Capabilities table
                'capabilities': {
                    'table': 'redb_capa_capabilities',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, namespace, capability]
                        for namespace, capabilities in json.loads(self.capa.capa_dump).items()
                        for capability in capabilities
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'namespace', 'capability'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)'
                    ]
                },
                
                # MITRE ATT&CK table
                'attack': {
                    'table': 'redb_capa_attack',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, 
                         tactic, technique[0], technique[1]]  # technique[0] is the name, technique[1] is the ID
                        for tactic, techniques in json.loads(self.capa.attack_dump).items()
                        for technique in techniques
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'tactic', 'technique', 'technique_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)', 
                        'LowCardinality(String)'
                    ]
                },
                
                # MBC table
                'mbc': {
                    'table': 'redb_capa_mbc',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time,
                         objective, behavior[0], behavior[1]]  # behavior[0] is the name, behavior[1] is the ID
                        for objective, behaviors in json.loads(self.capa.mbc_dump).items()
                        for behavior in behaviors
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'objective', 'behavior', 'behavior_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)',
                        'LowCardinality(String)'
                    ]
                }
            }
            
            return tables_data

    def get_clickhouse_table(self) -> str:
        return "redb_capa"  # Return the main table name

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_capa()
            return self.capa  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting CAPA: {e}")
            return None

    def tag(self):
        return Tag.CAPA.value