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# -*- coding: utf-8 -*- |
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# Copyright (C) 2014-2020 Greenbone Networks GmbH |
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# |
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# SPDX-License-Identifier: AGPL-3.0-or-later |
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# |
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# This program is free software: you can redistribute it and/or modify |
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# it under the terms of the GNU Affero General Public License as |
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# published by the Free Software Foundation, either version 3 of the |
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# License, or (at your option) any later version. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU Affero General Public License for more details. |
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# |
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# You should have received a copy of the GNU Affero General Public License |
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# along with this program. If not, see <http://www.gnu.org/licenses/>. |
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""" Provide functions to upload Notus Metadata in the Redis Cache. """ |
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import logging |
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import ast |
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import os |
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from glob import glob |
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from hashlib import sha256 |
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from pathlib import Path |
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from csv import DictReader |
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from typing import List, Dict, Optional, IO |
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from ospd_openvas.db import MainDB |
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from ospd_openvas.nvticache import NVTICache |
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from ospd_openvas.errors import OspdOpenvasError |
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from ospd_openvas.openvas import Openvas |
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logger = logging.getLogger(__name__) |
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# The expected field names in CSV files |
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EXPECTED_FIELD_NAMES_LIST = [ |
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"OID", |
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"TITLE", |
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"CREATION_DATE", |
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"LAST_MODIFICATION", |
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"SOURCE_PKGS", |
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"ADVISORY_ID", |
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"SEVERITY_ORIGIN", |
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"SEVERITY_DATE", |
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"SEVERITY_VECTOR", |
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"ADVISORY_XREF", |
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"DESCRIPTION", |
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"INSIGHT", |
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"AFFECTED", |
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"CVE_LIST", |
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"BINARY_PACKAGES_FOR_RELEASES", |
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"XREFS", |
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"FILENAME", |
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] |
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METADATA_DIRECTORY_NAME = "notus_metadata" |
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# Metadata constant field definitions |
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SCRIPT_CATEGORY = "3" # ACT_GATHER_INFO |
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SCRIPT_TIMEOUT = "0" |
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BIDS = "" |
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REQUIRED_KEYS = "" |
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MANDATORY_KEYS = "" |
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EXCLUDED_KEYS = "" |
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REQUIRED_UDP_PORTS = "" |
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REQUIRED_PORTS = "" |
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DEPENDENCIES = "" |
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class NotusMetadataHandler: |
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"""Class to perform checksum checks and upload metadata for |
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CSV files that were created by the Notus Generator.""" |
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def __init__(self, nvti: NVTICache = None, metadata_path: str = None): |
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self._nvti = nvti |
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self._metadata_path = metadata_path |
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self._openvas_settings_dict = None |
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@property |
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def nvti(self) -> NVTICache: |
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if self._nvti is None: |
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try: |
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maindb = MainDB() |
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self._nvti = NVTICache(maindb) |
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except SystemExit: |
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raise OspdOpenvasError( |
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"Could not connect to the Redis KB" |
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) from None |
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return self._nvti |
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@property |
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def metadata_path(self) -> str: |
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"""Find out where the CSV files containing the metadata |
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are on the file system, depending on whether this machine |
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is a GSM or GVM in a development environment. |
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Returns: |
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A full path to the directory that contains all Notus |
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metadata. |
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""" |
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if self._metadata_path is None: |
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# Openvas is installed and the plugins folder configured. |
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plugins_folder = self.openvas_setting.get("plugins_folder") |
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if plugins_folder: |
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self._metadata_path = ( |
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f'{plugins_folder}/{METADATA_DIRECTORY_NAME}/' |
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) |
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return self._metadata_path |
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try: |
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# From the development environment - Not used in production |
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install_prefix = os.environ["INSTALL_PREFIX"] |
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except KeyError: |
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install_prefix = None |
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if not install_prefix: |
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# Fall back to the path used in production |
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self._metadata_path = ( |
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f'/opt/greenbone/feed/plugins/{METADATA_DIRECTORY_NAME}/' |
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) |
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else: |
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self._metadata_path = f'{install_prefix}/var/lib/openvas/plugins/{METADATA_DIRECTORY_NAME}/' # pylint: disable=C0301 |
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return self._metadata_path |
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@property |
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def openvas_setting(self): |
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"""Set OpenVAS option.""" |
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if self._openvas_settings_dict is None: |
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openvas_object = Openvas() |
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self._openvas_settings_dict = openvas_object.get_settings() |
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return self._openvas_settings_dict |
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def _get_csv_filepaths(self) -> List[Path]: |
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"""Get a list of absolute file paths to all detected CSV files |
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in the relevant directory. |
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Returns: |
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A Path object that contains the absolute file path. |
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""" |
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return [ |
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Path(csv_file).resolve() |
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for csv_file in glob(f'{self.metadata_path}*.csv') |
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] |
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def _check_field_names_lsc(self, field_names_list: list) -> bool: |
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"""Check if the field names of the parsed CSV file are exactly |
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as expected to confirm that this version of the CSV format for |
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Notus is supported by this module. |
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Arguments: |
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field_names_list: A list of field names such as ["OID", "TITLE",...] |
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Returns: |
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Whether the parsed CSV file conforms to the expected format. |
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""" |
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if not EXPECTED_FIELD_NAMES_LIST == field_names_list: |
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return False |
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return True |
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def _check_advisory_dict(self, advisory_dict: dict) -> bool: |
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"""Check a row of the parsed CSV file to confirm that |
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no field is missing. Also check if any lists are empty |
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that should never be empty. This should avoid unexpected |
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runtime errors when the CSV file is incomplete. The QA-check |
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in the Notus Generator should already catch something like this |
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before it happens, but this is another check just to be sure. |
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Arguments: |
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advisory_dict: Metadata for one vendor advisory |
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in the form of a dict. |
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Returns: |
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Whether this advisory_dict is as expected or not. |
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""" |
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# Check if there are any empty fields that shouldn't be empty. |
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# Skip those that are incorrect. |
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for (key, value) in advisory_dict.items(): |
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# The value is missing entirely |
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if not value: |
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return False |
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# A list is empty when it shouldn't be |
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try: |
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if key == "SOURCE_PKGS" and len(ast.literal_eval(value)) == 0: |
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return False |
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except (ValueError, TypeError): |
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# Expected a list, but this was not a list |
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return False |
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return True |
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def _format_xrefs(self, advisory_xref_string: str, xrefs_list: list) -> str: |
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"""Create a string that contains all links for this advisory, to be |
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inserted into the Redis KB. |
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Arguments: |
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advisory_xref_string: A link to the official advisory page. |
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xrefs_list: A list of URLs that were mentioned |
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in the advisory itself. |
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Returns: |
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All URLs separated by ", ". |
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Example: URL:www.example.com, URL:www.example2.com |
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""" |
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formatted_list = list() |
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advisory_xref_string = f'URL:{advisory_xref_string}' |
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formatted_list.append(advisory_xref_string) |
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for url_string in xrefs_list: |
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url_string = f'URL:{url_string}' |
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formatted_list.append(url_string) |
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return ", ".join(formatted_list) |
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def is_checksum_correct(self, file_abs_path: Path) -> bool: |
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"""Perform a checksum check on a specific file, if |
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signature checks have been enabled in OpenVAS. |
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Arguments: |
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file_abs_path: A Path object that points to the |
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absolute path of a file. |
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Returns: |
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Whether the checksum check was successful or not. |
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Also returns true if the checksum check is disabled. |
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""" |
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no_signature_check = self.openvas_setting.get("nasl_no_signature_check") |
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if not no_signature_check: |
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with file_abs_path.open("rb") as file_file_bytes: |
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sha256_object = sha256() |
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# Read chunks of 4096 bytes sequentially to avoid |
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# filling up the RAM if the file is extremely large |
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for byte_block in iter(lambda: file_file_bytes.read(4096), b""): |
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sha256_object.update(byte_block) |
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# Calculate the checksum for this file |
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file_calculated_checksum_string = sha256_object.hexdigest() |
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# Extract the downloaded checksum for this file |
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# from the Redis KB |
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file_downloaded_checksum_string = self.nvti.get_file_checksum( |
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file_abs_path |
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) |
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# Checksum check |
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if ( |
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not file_calculated_checksum_string |
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== file_downloaded_checksum_string |
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): |
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return False |
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# Checksum check was either successful or it was skipped |
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return True |
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def upload_lsc_from_csv_reader( |
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self, |
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file_name: str, |
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family: str, |
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general_metadata_dict: Dict, |
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csv_reader: DictReader, |
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) -> bool: |
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"""For each advisory_dict, write its contents to the |
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Redis KB as metadata. |
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Arguments: |
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file_name: CSV file name with metadata to be uploaded |
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general_metadata_dict: General metadata common for all advisories |
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in the CSV file. |
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csv_reader: DictReader iterator to access the advisories |
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Return True if success, False otherwise |
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""" |
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loaded = 0 |
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total = 0 |
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for advisory_dict in csv_reader: |
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# Make sure that no element is missing in the advisory_dict, |
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# else skip that advisory |
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total += 1 |
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is_correct = self._check_advisory_dict(advisory_dict) |
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if not is_correct: |
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continue |
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# For each advisory_dict, |
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# write its contents to the Redis KB as metadata. |
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# Create a list with all the metadata. Refer to: |
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# https://github.com/greenbone/ospd-openvas/blob/232d04e72d2af0199d60324e8820d9e73498a831/ospd_openvas/db.py#L39 # pylint: disable=C0321 |
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advisory_metadata_list = list() |
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oid = advisory_dict["OID"] |
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# Advisory virtual location |
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filename = advisory_dict["FILENAME"] |
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advisory_metadata_list.append( |
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f'{METADATA_DIRECTORY_NAME}/{filename}' |
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) |
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# Required keys |
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advisory_metadata_list.append(REQUIRED_KEYS) |
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# Mandatory keys |
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advisory_metadata_list.append(MANDATORY_KEYS) |
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# Excluded keys |
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advisory_metadata_list.append(EXCLUDED_KEYS) |
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# Required UDP ports |
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advisory_metadata_list.append(REQUIRED_UDP_PORTS) |
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# Required ports |
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advisory_metadata_list.append(REQUIRED_PORTS) |
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# Dependencies |
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advisory_metadata_list.append(DEPENDENCIES) |
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# Tags |
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tags_string = ( |
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"severity_origin={}|severity_date={}|" |
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"severity_vector={}|last_modification={}|" |
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"creation_date={}|summary={}|vuldetect={}|" |
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"insight={}|affected={}|solution={}|" |
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"solution_type={}|qod_type={}" |
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) |
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tags_string = tags_string.format( |
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advisory_dict["SEVERITY_ORIGIN"], |
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advisory_dict["SEVERITY_DATE"], |
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advisory_dict["SEVERITY_VECTOR"], |
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advisory_dict["LAST_MODIFICATION"], |
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advisory_dict["CREATION_DATE"], |
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advisory_dict["DESCRIPTION"], |
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general_metadata_dict["VULDETECT"], |
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advisory_dict["INSIGHT"], |
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advisory_dict["AFFECTED"], |
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general_metadata_dict["SOLUTION"], |
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general_metadata_dict["SOLUTION_TYPE"], |
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general_metadata_dict["QOD_TYPE"], |
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) |
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advisory_metadata_list.append(tags_string) |
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# CVEs |
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advisory_metadata_list.append( |
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", ".join(ast.literal_eval(advisory_dict["CVE_LIST"])) |
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) |
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advisory_metadata_list.append(BIDS) |
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# XREFS |
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advisory_metadata_list.append( |
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self._format_xrefs( |
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advisory_dict["ADVISORY_XREF"], |
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ast.literal_eval(advisory_dict["XREFS"]), |
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) |
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) |
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# Script category |
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advisory_metadata_list.append(SCRIPT_CATEGORY) |
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# Script timeout |
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advisory_metadata_list.append(SCRIPT_TIMEOUT) |
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# Script family |
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advisory_metadata_list.append(family) |
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# Script Name / Title |
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advisory_metadata_list.append(advisory_dict["TITLE"]) |
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# Write the metadata list to the respective Redis KB key, |
359
|
|
|
# overwriting any existing values |
360
|
|
|
kb_key_string = f'nvt:{oid}' |
361
|
|
|
try: |
362
|
|
|
self.nvti.add_vt_to_cache( |
363
|
|
|
vt_id=kb_key_string, vt=advisory_metadata_list |
364
|
|
|
) |
365
|
|
|
except OspdOpenvasError: |
366
|
|
|
logger.warning( |
367
|
|
|
"LSC will not be loaded. The advisory_metadata_" |
368
|
|
|
"list was either not a list or does not include " |
369
|
|
|
"15 entries" |
370
|
|
|
) |
371
|
|
|
continue |
372
|
|
|
loaded += 1 |
373
|
|
|
|
374
|
|
|
logger.debug( |
375
|
|
|
"Loaded %d/%d advisories from %s", loaded, total, file_name |
376
|
|
|
) |
377
|
|
|
return loaded == total |
378
|
|
|
|
379
|
|
|
def update_metadata(self) -> None: |
380
|
|
|
"""Parse all CSV files that are present in the |
381
|
|
|
Notus metadata directory, perform a checksum check, |
382
|
|
|
read their metadata, format some fields |
383
|
|
|
and write this information to the Redis KB. |
384
|
|
|
""" |
385
|
|
|
|
386
|
|
|
# Check if Notus is enabled |
387
|
|
|
if not self.openvas_setting.get("table_driven_lsc"): |
388
|
|
|
return |
389
|
|
|
|
390
|
|
|
logger.debug("Starting the Notus metadata load up") |
391
|
|
|
# Get a list of all CSV files in that directory with their absolute path |
392
|
|
|
csv_abs_filepaths_list = self._get_csv_filepaths() |
393
|
|
|
|
394
|
|
|
# Read each CSV file |
395
|
|
|
for csv_abs_path in csv_abs_filepaths_list: |
396
|
|
|
# Check the checksums, unless they have been disabled |
397
|
|
|
if not self.is_checksum_correct(csv_abs_path): |
398
|
|
|
# Skip this file if the checksum does not match |
399
|
|
|
logger.warning('Checksum for %s failed', csv_abs_path) |
400
|
|
|
continue |
401
|
|
|
logger.debug("Checksum check for %s successful", csv_abs_path) |
402
|
|
|
with csv_abs_path.open("r") as csv_file: |
403
|
|
|
# Skip the license header, so the actual content |
404
|
|
|
# can be parsed by the DictReader |
405
|
|
|
|
406
|
|
|
# Get the family from the Notus metadata csv file. |
407
|
|
|
family_and_driver_dict = self.parse_family_driver_link(csv_file) |
408
|
|
|
family, _ = family_and_driver_dict.popitem() |
409
|
|
|
|
410
|
|
|
general_metadata_dict = dict() |
411
|
|
|
for line_string in csv_file: |
412
|
|
|
if line_string.startswith("{"): |
413
|
|
|
general_metadata_dict = ast.literal_eval(line_string) |
414
|
|
|
break |
415
|
|
|
|
416
|
|
|
# Check if the file can be parsed by the CSV module |
417
|
|
|
reader = DictReader(csv_file) |
418
|
|
|
# Check if the CSV file has the expected field names, |
419
|
|
|
# else skip the file |
420
|
|
|
is_correct = self._check_field_names_lsc(reader.fieldnames) |
421
|
|
|
if not is_correct: |
422
|
|
|
logger.warning( |
423
|
|
|
'Field names check for %s failed', csv_abs_path |
424
|
|
|
) |
425
|
|
|
continue |
426
|
|
|
|
427
|
|
|
file_name = csv_abs_path.name |
428
|
|
|
if not self.upload_lsc_from_csv_reader( |
429
|
|
|
file_name, family, general_metadata_dict, reader |
430
|
|
|
): |
431
|
|
|
logger.warning( |
432
|
|
|
"Some advaisory was not loaded from %s", file_name |
433
|
|
|
) |
434
|
|
|
|
435
|
|
|
logger.debug("Notus metadata load up finished.") |
436
|
|
|
|
437
|
|
|
def parse_family_driver_link(self, csv_file: IO) -> Optional[Dict]: |
438
|
|
|
"""Return the dictionary from the Notus metadata csv file which |
439
|
|
|
holds the driver script OID for the corresponding LSC family. |
440
|
|
|
This dictionary has one entry: |
441
|
|
|
E.g. {'LSC family name': 'Driver script OID'} |
442
|
|
|
|
443
|
|
|
Arguments: |
444
|
|
|
csv_file: Opened file descriptor to Notus metadata csv file. |
445
|
|
|
|
446
|
|
|
Return: the dictionary if success. None otherwise. |
447
|
|
|
""" |
448
|
|
|
# Find the family name - driver script linker |
449
|
|
|
csv_file.seek(0) |
450
|
|
|
for line_string in csv_file: |
451
|
|
|
if line_string.startswith("link = "): |
452
|
|
|
link = line_string |
453
|
|
|
break |
454
|
|
|
if link: |
|
|
|
|
455
|
|
|
return ast.literal_eval(link.strip("link = ")) |
456
|
|
|
|
457
|
|
|
def get_family_driver_linkers(self) -> Optional[Dict]: |
458
|
|
|
"""Get the a collection of advisory families supported |
459
|
|
|
by Notus and the linked OID of the driver script to run |
460
|
|
|
the Notus scanner for the given family |
461
|
|
|
|
462
|
|
|
This method always returns a dict with the supported families, |
463
|
|
|
even if Notus Scanner is disabled. |
464
|
|
|
""" |
465
|
|
|
|
466
|
|
|
# Get a list of all CSV files in that directory with their absolute path |
467
|
|
|
csv_abs_filepaths_list = self._get_csv_filepaths() |
468
|
|
|
|
469
|
|
|
family_driver_linkers = {} |
470
|
|
|
# Read each CSV file |
471
|
|
|
for csv_abs_path in csv_abs_filepaths_list: |
472
|
|
|
# Check the checksums, unless they have been disabled |
473
|
|
|
if not self.is_checksum_correct(csv_abs_path): |
474
|
|
|
# Skip this file if the checksum does not match |
475
|
|
|
logger.warning('Checksum for %s failed', csv_abs_path) |
476
|
|
|
continue |
477
|
|
|
logger.debug("Checksum check for %s successful", csv_abs_path) |
478
|
|
|
|
479
|
|
|
dict_entry = None |
480
|
|
|
with csv_abs_path.open("r") as csv_file: |
481
|
|
|
dict_entry = self.parse_family_driver_link(csv_file) |
482
|
|
|
|
483
|
|
|
if dict_entry: |
484
|
|
|
family_driver_linkers.update(dict_entry) |
485
|
|
|
|
486
|
|
|
return family_driver_linkers |
487
|
|
|
|