예제 #1
0
    def get_parser(self, prog_name):
        parser = super().get_parser(prog_name)
        parser.formatter_class = argparse.RawDescriptionHelpFormatter
        cache_file = CTU_Dataset.get_cache_file()
        parser.add_argument('--cache-file',
                            action='store',
                            dest='cache_file',
                            default=cache_file,
                            help=('Cache file path '
                                  f'(default: ``{cache_file}``)'))
        parser.add_argument(
            '--ignore-cache',
            action='store_true',
            dest='ignore_cache',
            default=False,
            help="Ignore any cached results (default: ``False``)")
        attributes = ", ".join(
            [c.lower() for c in CTU_Dataset.get_index_columns(min=False)])
        parser.add_argument(
            'attribute',
            nargs='?',
            default='infection_date',
            choices=[
                c.lower() for c in CTU_Dataset.get_index_columns(min=False)
            ],
            help='Attribute to quantify (default: ``infection_date``)')
        parser.epilog = textwrap.dedent(f"""\
            Shows the selected dataset attribute and a count of unique
            instances in reverse order of occurance.

            ::

                $ lim ctu stats md5 | head
                +----------------------------------+-------+
                | MD5                              | Count |
                +----------------------------------+-------+
                | e515267ba19417974a63b51e4f7dd9e9 |    10 |
                | -                                |     9 |
                | e1090d7126dd88d0d1d39b68ea3aae11 |     6 |
                | 05a00c320754934782ec5dec1d5c0476 |     6 |
                | 48616dd47e12e369feef53a57830158a |     5 |
                | 11bc606269a161555431bacf37f7c1e4 |     5 |
                | bf08e6b02e00d2bc6dd493e93e69872f |     4 |


            Possible attributes are those that come from the CTU index
            file (``{attributes}``).

            To see more detailed descriptions of the CTU datasets as a whole,
            use ``lim ctu overview`` to view the appropriate web page.
           """)  # noqa
        return parser
예제 #2
0
    def get_parser(self, prog_name):
        parser = super().get_parser(prog_name)
        parser.formatter_class = argparse.RawDescriptionHelpFormatter
        cache_file = CTU_Dataset.get_cache_file()
        parser.add_argument(
            '--cache-file',
            action='store',
            dest='cache_file',
            default=cache_file,
            help=('Cache file path for CTU metadata '
                  '(Env: ``LIM_CTU_CACHE``; '
                  f'default: ``{cache_file}``)')
        )
        parser.add_argument(
            '--ignore-cache',
            action='store_true',
            dest='ignore_cache',
            default=False,
            help="Ignore any cached results (default: ``False``)"
        )
        parser.add_argument(
            'scenario',
            nargs='?',
            type=normalize_ctu_name,
            default=None)
        parser.epilog = textwrap.dedent("""\
            Shows details about an individual scenario in tabular form.

            See ``lim ctu list --help`` for more on the ``scenario`` argument.

            ::

                $ lim ctu show iot-3-1
                +----------------+----------------------------------------------------------------------------------+
                | Field          | Value                                                                            |
                +----------------+----------------------------------------------------------------------------------+
                | Infection_Date | 2018-05-19                                                                       |
                | Capture_Name   | CTU-IoT-Malware-Capture-3-1                                                      |
                | Malware        | Muhstik                                                                          |
                | MD5            | b8849fe97e39ae3afd6def618568bb09                                                 |
                | SHA256         | 5ce13670bc875e913e6f087a4ac0a9e343347d5babb3b5c63e1d1b199371f69a                 |
                | Capture_URL    | https://mcfp.felk.cvut.cz/publicDatasets/IoTDatasets/CTU-IoT-Malware-Capture-3-1 |
                | ZIP            | fce7b8bbd1c1fba1d75b9dc1a60b25f49f68c9ec16b3656b52ed28290fc93c72.zip             |
                | LABELED        | None                                                                             |
                | BINETFLOW      | 2018-05-21_capture.binetflow                                                     |
                | PCAP           | 2018-05-21_capture.pcap                                                          |
                | WEBLOGNG       | 2018-05-21_capture.weblogng                                                      |
                +----------------+----------------------------------------------------------------------------------+

           """)  # noqa
        return parser
예제 #3
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    def get_parser(self, prog_name):
        parser = super().get_parser(prog_name)
        parser.formatter_class = argparse.RawDescriptionHelpFormatter
        parser = add_browser_options(parser)
        cache_file = CTU_Dataset.get_cache_file()
        parser.add_argument(
            '--cache-file',
            action='store',
            dest='cache_file',
            default=cache_file,
            help=('Cache file path for CTU metadata '
                  '(Env: ``LIM_CTU_CACHE``; '
                  f'default: ``{cache_file}``)')
        )
        parser.add_argument(
            '--ignore-cache',
            action='store_true',
            dest='ignore_cache',
            default=False,
            help="Ignore any cached results (default: ``False``)"
        )
        parser.add_argument(
            'scenario',
            nargs='*',
            type=normalize_ctu_name,
            default=None)
        parser.epilog = textwrap.dedent("""\
            Opens a browser for the web page containing the scenario
            descriptions and data links.

            Arguments are scenario names using either the full name
            form (e.g., ``CTU-Malware-Capture-Botnet-123-1``) or an
            abbreviated form (e.g., ``Botnet-123-1``).

            The URL to use is the one seen in the ``SCENARIO_URL`` column
            of the output of the ``lim ctu list`` command.

            To see help information about how the browser option works and
            how you can configure it, see ``lim about --help``.
            """)
        return parser
예제 #4
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    def get_parser(self, prog_name):
        parser = super().get_parser(prog_name)
        parser.formatter_class = argparse.RawDescriptionHelpFormatter
        parser.add_argument(
            '--force',
            action='store_true',
            dest='force',
            default=False,
            help="Force over-writing files if they exist (default: ``False``)")
        parser.add_argument('--no-subdir',
                            action='store_true',
                            dest='no_subdir',
                            default=False,
                            help=('Do not maintain scenario name subdirectory '
                                  '(default: ``False``)'))
        _default_protocols = ",".join(DEFAULT_PROTOCOLS)
        parser.add_argument('-P',
                            '--protocols',
                            metavar='<protocol-list>',
                            dest='protocols',
                            type=lambda s: [i for i in s.split(',')],
                            default=_default_protocols,
                            help=("Protocols to include, or 'any' "
                                  f'(default: ``{_default_protocols}``)'))
        parser.add_argument(
            '-L',
            '--maxlines',
            metavar='<lines>',
            dest='maxlines',
            default=None,
            help="Maximum number of lines to get (default: ``None``)")
        cache_file = CTU_Dataset.get_cache_file()
        parser.add_argument('--cache-file',
                            action='store',
                            dest='cache_file',
                            default=cache_file,
                            help=('Cache file path for CTU metadata '
                                  '(Env: ``LIM_CTU_CACHE``; '
                                  f'default: ``{cache_file}``)'))
        parser.add_argument(
            '--ignore-cache',
            action='store_true',
            dest='ignore_cache',
            default=False,
            help="Ignore any cached results (default: ``False``)")
        parser.add_argument('scenario',
                            nargs=1,
                            type=normalize_ctu_name,
                            default=None)
        data_types = str(", ".join(
            [f'{i.lower()}' for i in CTU_Dataset.get_data_columns()]))
        parser.add_argument(
            'data',
            nargs='+',
            type=str.lower,
            choices=[
                c.lower() for c in CTU_Dataset.get_data_columns() + ['all']
            ],
            default=None)
        parser.epilog = textwrap.dedent(f"""\
            Get one or more data components from a scenario. These
            components are the raw PCAP file, Netflow file, and
            other analytic products from intrusion detection system
            processing, etc.

            See ``lim ctu list --help`` for more on the ``scenario`` argument.

            For the ``data`` argument, you can use ``all`` to recursively
            download all scenario data, or one or more of the data
            files by type: ``{data_types}``

            By default, or when using the ``all`` attribute identifier,
            the file(s) are placed in a subdirectory with the full name
            of the scenario to better organize data across multiple
            scenarios. You can override this when getting specific files
            (i.e., not using ``all``) with the ``--no-subdir`` option.
           \n""") + CTU_Dataset.get_disclaimer()  # noqa
        return parser
예제 #5
0
    def get_parser(self, prog_name):
        parser = super().get_parser(prog_name)
        parser.formatter_class = argparse.RawDescriptionHelpFormatter
        cache_file = CTU_Dataset.get_cache_file()
        parser.add_argument('--cache-file',
                            action='store',
                            dest='cache_file',
                            default=cache_file,
                            help=('Cache file path for CTU metadata '
                                  '(Env: ``LIM_CTU_CACHE``; '
                                  f'default: ``{cache_file}``)'))
        parser.add_argument(
            '--ignore-cache',
            action='store_true',
            dest='ignore_cache',
            default=False,
            help="Ignore any cached results (default: ``False``)")
        parser.add_argument('--date-starting',
                            dest='date_starting',
                            metavar='<YYYY-MM-DD>',
                            default='1970-01-01',
                            help=('List scenarios starting from this date '
                                  "(default: '1970-01-01')"))
        TODAY_DATE = arrow.now().format('YYYY-MM-DD')
        parser.add_argument('--date-ending',
                            dest='date_ending',
                            metavar='<YYYY-MM-DD>',
                            default=TODAY_DATE,
                            help=('List scenarios up to this date '
                                  f"(default: '{TODAY_DATE}')"))
        parser.add_argument('--fullnames',
                            action='store_true',
                            dest='fullnames',
                            default=False,
                            help=("Show full names"))
        parser.add_argument('-a',
                            '--everything',
                            action='store_true',
                            dest='everything',
                            default=False,
                            help=("Show all metadata columns "
                                  "(default : False)"))
        parser.add_argument('--hash',
                            dest='hash',
                            metavar='<{md5_hash|sha256_hash}>',
                            default=None,
                            help=('Only list scenarios that involve a '
                                  'specific hash (default: ``None``)'))
        parser.add_argument(
            '--malware-includes',
            dest='malware_includes',
            metavar='<string>',
            default=None,
            help=('Only list scenarios including this string'
                  "in the 'Malware' column (default: ``None``)"))
        parser.add_argument(
            '--name-includes',
            dest='name_includes',
            metavar='<string>',
            default=None,
            help=('Only list scenario including this string'
                  "in the 'Capture_Name' column (default: ``None``)"))
        parser.add_argument('--description-includes',
                            dest='description_includes',
                            metavar='<string>',
                            default=None,
                            help=('Only list scenarios including this string'
                                  'in the description (default: ``None``)'))
        parser.add_argument('scenario',
                            nargs='*',
                            type=normalize_ctu_name,
                            default=None)
        all_columns = ", ".join(
            [f'{i.lower()}' for i in CTU_Dataset.get_all_columns()])
        default_columns = ", ".join(
            [f"{i.lower()}" for i in CTU_Dataset.get_index_columns()])
        parser.epilog = textwrap.dedent(f"""\
            List scenarios (a.k.a., "captures") and related metadata.

            By default, all scenarios are listed. You can limit the output
            by filtering on several attributes (e.g., by ``Capture_Name``
            field, by date range, contents of the malware name or web page
            description, etc.) You can also limit the number of items
            shown if necessary when the number of results is large.

            The ``scenario`` argument equates to the field ``Capture_Name`` in
            the index. This can be the scenario's full name (e.g.,
            ``CTU-IoT-Malware-Capture-34-1``) or an abbreviated form of the
            name (e.g., ``IoT-34-1`` or just ``34-1``).

            ::

                $ lim ctu list IoT-34-1 Botnet-42
                +----------------+-------------------------------+---------+
                | Infection_Date | Capture_Name                  | Malware |
                +----------------+-------------------------------+---------+
                | 2011-08-10     | CTU-Malware-Capture-Botnet-42 | Neeris  |
                | 2018-12-21     | CTU-IoT-Malware-Capture-34-1  | Mirai   |
                +----------------+-------------------------------+---------+


            A larger number of attributes are available. You can get all of them
            using the ``-a`` (``--everything``) flag. The subset of columns shown
            by default is: ``{default_columns}``

            Valid column labels for options ``-c``, ``--column``, ``--sort-column``,
            or to be shown with ``-a``, include:
            ``{all_columns}``

            Using ``lim ctu list -a`` produces very wide output. Even if many fields
            are ``None`` and ``--fit-width`` is included, it is still unwieldy for just
            one scenario as you can see here. Consider using ``lim ctu show`` instead.

            ::

                $ lim ctu list --name-includes IoT --malware-includes muhstik --fit-width -a
                +----------------+------------------------+---------+------------------------+------------------------+------------------------+------------------------+---------+------------------------+------------------------+-----------------------------+
                | Infection_Date | Capture_Name           | Malware | MD5                    | SHA256                 | Capture_URL            | ZIP                    | LABELED | BINETFLOW              | PCAP                   | WEBLOGNG                    |
                +----------------+------------------------+---------+------------------------+------------------------+------------------------+------------------------+---------+------------------------+------------------------+-----------------------------+
                | 2018-05-19     | CTU-IoT-Malware-       | Muhstik | b8849fe97e39ae3afd6def | 5ce13670bc875e913e6f08 | https://mcfp.felk.cvut | fce7b8bbd1c1fba1d75b9d | None    | 2018-05-21_capture.bin | 2018-05-21_capture.pca | 2018-05-21_capture.weblogng |
                |                | Capture-3-1            |         | 618568bb09             | 7a4ac0a9e343347d5babb3 | .cz/publicDatasets/IoT | c1a60b25f49f68c9ec16b3 |         | etflow                 | p                      |                             |
                |                |                        |         |                        | b5c63e1d1b199371f69a   | Datasets/CTU-IoT-      | 656b52ed28290fc93c72.z |         |                        |                        |                             |
                |                |                        |         |                        |                        | Malware-Capture-3-1    | ip                     |         |                        |                        |                             |
                +----------------+------------------------+---------+------------------------+------------------------+------------------------+------------------------+---------+------------------------+------------------------+-----------------------------+


            There are also a number of filters that can be applied, including MD5
            and SHA256 hash, substrings in the ``Capture_Name`` or ``Malware``
            fields, start and end dates, or description of the scenario in its
            web page.

            The ``--hash`` option makes an exact match on any of the stored hash
            values.  This is the hash of the executable binary referenced in the
            ``ZIP`` column. This example uses the most frequently occuring MD5
            hash as seen in ``lim ctu stats --help``::

                $ lim ctu list --hash e515267ba19417974a63b51e4f7dd9e9
                +----------------+----------------------------------+---------+
                | Infection_Date | Capture_Name                     | Malware |
                +----------------+----------------------------------+---------+
                | 2015-03-04     | CTU-Malware-Capture-Botnet-110-1 | HTBot   |
                | 2015-03-04     | CTU-Malware-Capture-Botnet-110-2 | HTBot   |
                | 2015-03-09     | CTU-Malware-Capture-Botnet-110-3 | HTBot   |
                | 2015-03-09     | CTU-Malware-Capture-Botnet-111-2 | HTBot   |
                | 2015-04-09     | CTU-Malware-Capture-Botnet-110-4 | HTBot   |
                | 2015-04-09     | CTU-Malware-Capture-Botnet-111-3 | HTBot   |
                | 2015-04-22     | CTU-Malware-Capture-Botnet-110-5 | HTBot   |
                | 2015-04-22     | CTU-Malware-Capture-Botnet-111-4 | HTBot   |
                | 2015-04-23     | CTU-Malware-Capture-Botnet-110-6 | HTBot   |
                | 2015-06-09     | CTU-Malware-Capture-Botnet-111-5 | HTBot   |
                +----------------+----------------------------------+---------+


            The ``--malware-includes`` option is rather simplistic, matching any
            occurance of the substring (case insensitive) in the ``Malware`` field.
            The same applies for the ``--name-includes`` option with respect to the
            ``Capture_Name`` field. For more accurate matching, you may want to use
            something like the ``-f csv`` option and match on regular expressions
            using one of the ``grep`` variants.  Or add regular expression handling
            and submit a pull request! ;)
           \n""") + CTU_Dataset.get_disclaimer()  # noqa

        return parser