GreyNoise Indicator Feed

GreyNoise is a cybersecurity platform that collects and analyzes Internet-wide scan and attack traffic. With this integration, users can contextualize existing alerts, filter false-positives, identify compromised devices, and track emerging threats. This Integration provides a feed of IPv4 Internet Scanners from GreyNoise.

Data Enrichment & Threat Intelligence · GreyNoise Indicator Feed · Feed

Details

IDGreyNoise Indicator Feed
ProviderGreyNoise
CategoryData Enrichment & Threat Intelligence
From Version6.10.0
Docker Imagedemisto/greynoise:1.0.0.10133006
Supported ModulesAgentix XSIAM

README

GreyNoise is a cybersecurity platform that collects and analyzes Internet-wide scan and attack traffic. With this integration, users can contextualize existing alerts, filter false-positives, identify compromised devices, and track emerging threats. This Integration provides a feed of IPv4 Internet Scanners from GreyNoise.
This integration was integrated and tested with version 2.0.1 of GreyNoise SDK.

Configure GreyNoise Indicator Feed in Cortex

Parameter Description Required
Fetch indicators   False
Username   False
Password   False
Indicator Reputation Leave this selection blank. Not used for this integration. False
Source Reliability Reliability of the source providing the intelligence data True
GreyNoise Feed Type Select which GreyNoise Feed to ingest True
Tags Supports CSV values. False
Traffic Light Protocol Color The Traffic Light Protocol (TLP) designation to apply to indicators fetched from the feed False
feedExpirationPolicy   False
feedExpirationInterval   False
Feed Fetch Interval   False
Bypass exclusion list When selected, the exclusion list is ignored for indicators from this feed. This means that if an indicator from this feed is on the exclusion list, the indicator might still be added to the system. False
Use system proxy settings   False
Trust any certificate (not secure)   False

Commands

You can execute these commands from the CLI, as part of an automation, or in a playbook.
After you successfully execute a command, a DBot message appears in the War Room with the command details.

greynoise-get-indicators


Gets the feed indicators.

Base Command

greynoise-get-indicators

Input

There are no input arguments for this command.

Context Output

Path Type Description
GreyNoiseFeed.Indicators.Value String The value of the indicator.
GreyNoiseFeed.Indicators.Type String The type of the indicator.
GreyNoiseFeed.Indicators.Tags String The GreyNoise tags associated with the indicator.

Configuration parameters

  • feed — Fetch indicators
  • credentials — Username
  • feedReputation — Indicator Reputation
  • feedReliability — Source Reliability (required)
  • greynoiseFeedType — GreyNoise Feed Type (required)
  • feedTags — Tags
  • tlp_color — Traffic Light Protocol Color
  • feedExpirationPolicy
  • feedExpirationInterval
  • feedFetchInterval — Feed Fetch Interval
  • feedBypassExclusionList — Bypass exclusion list
  • proxy — Use system proxy settings
  • insecure — Trust any certificate (not secure)

Commands (1)

  • greynoise-get-indicators

    Gets the feed indicators.

from datetime import datetime

from CommonServerPython import *
from greynoise.api import GreyNoise, APIConfig
from greynoise import exceptions, util  # type: ignore

INTEGRATION_NAME = "GreyNoise Indicator Feed"
API_SERVER = util.DEFAULT_CONFIG.get("api_server")
TIMEOUT = 300

EXCEPTION_MESSAGES = {
    "API_RATE_LIMIT": "API Rate limit hit. Try after sometime.",
    "UNAUTHENTICATED": "Unauthenticated. Check the configured API Key.",
    "COMMAND_FAIL": "Failed to execute {} command.\n Error: {}",
    "SERVER_ERROR": "The server encountered an internal error for GreyNoise and was unable to complete your request.",
    "CONNECTION_TIMEOUT": "Connection timed out. Check your network connectivity.",
    "PROXY": "Proxy Error - cannot connect to proxy. Either try clearing the 'Use system proxy' check-box or check "
    "the host, authentication details and connection details for the proxy.",
    "INVALID_RESPONSE": "Invalid response from GreyNoise. Response: {}",
    "QUERY_STATS_RESPONSE": "GreyNoise request failed. Reason: {}",
}


class Client(GreyNoise):
    """
    Client to use in the GreyNoise Feed integration. Overrides BaseClient.
    """

    def authenticate(self):
        """
        Used to authenticate GreyNoise credentials.
        """
        try:
            self.test_connection()

            return "ok"

        except exceptions.RateLimitError:
            raise DemistoException(EXCEPTION_MESSAGES["API_RATE_LIMIT"])

        except exceptions.RequestFailure as err:
            status_code = err.args[0]
            body = str(err.args[1])

            if status_code == 401:
                raise DemistoException(EXCEPTION_MESSAGES["UNAUTHENTICATED"])
            elif status_code == 429:
                raise DemistoException(EXCEPTION_MESSAGES["API_RATE_LIMIT"])
            elif 400 <= status_code < 500:
                raise DemistoException(EXCEPTION_MESSAGES["COMMAND_FAIL"].format(demisto.command(), body))
            elif status_code >= 500:
                raise DemistoException(EXCEPTION_MESSAGES["SERVER_ERROR"])
            else:
                raise DemistoException(str(err))
        except requests.exceptions.ConnectTimeout:
            raise DemistoException(EXCEPTION_MESSAGES["CONNECTION_TIMEOUT"])
        except requests.exceptions.ProxyError:
            raise DemistoException(EXCEPTION_MESSAGES["PROXY"])


def get_ip_reputation_score(classification: str) -> int:
    """Get DBot score and human-readable of score.

    :type classification: ``str``
    :param classification: classification of ip provided from GreyNoise.

    :return: int for score.
    :rtype: ``int``
    """
    if classification == "suspicious":
        return 2
    elif classification == "benign":
        return 1
    elif classification == "malicious":
        return 3
    else:
        return 0


def format_timestamp(date: str) -> str:
    formatted_timestamp = datetime.strptime(date, "%Y-%m-%d").isoformat() + "Z"

    return formatted_timestamp


def get_ip_tag_names(tags: list) -> list:
    """Get the tag names from tags list.

    :type tags: ``list``
    :param tags: list of tags.

    :return: list of tag names.
    :rtype: ``list``
    """
    tag_names = []
    if tags != []:
        for tag in tags:
            tag_name = tag.get("name")
            tag_names.append(tag_name)

    return tag_names


def format_indicator(indicator, tlp_color: str):
    tag_names = get_ip_tag_names(indicator.get("internet_scanner_intelligence", {}).get("tags", []))
    tag_string = ",".join(tag_names)
    if tag_string == "":
        tags = "INTERNET SCANNER"
    else:
        tags = "INTERNET SCANNER," + tag_string
    if "metadata" in indicator.get("internet_scanner_intelligence", {}):
        country_code = indicator.get("internet_scanner_intelligence", {}).get("metadata", {}).get("source_country", "")
        if "latitude" in indicator.get("internet_scanner_intelligence", {}).get("metadata", {}) and "longitude" in indicator.get(
            "internet_scanner_intelligence", {}
        ).get("metadata", {}):
            lat_long = (
                str(indicator.get("internet_scanner_intelligence", {}).get("metadata", {}).get("latitude", ""))
                + ","
                + str(indicator.get("internet_scanner_intelligence", {}).get("metadata", {}).get("longitude", ""))
            )
        else:
            lat_long = ""
    else:
        country_code = ""
        lat_long = ""
    formatted_indicator = {
        "Value": indicator["ip"],
        "Type": FeedIndicatorType.IP,
        "rawJSON": indicator,
        "score": get_ip_reputation_score(indicator.get("internet_scanner_intelligence", {}).get("classification", "")),
        "fields": {
            "firstseenbysource": format_timestamp(indicator.get("internet_scanner_intelligence", {}).get("first_seen", "")),
            "lastseenbysource": format_timestamp(indicator.get("internet_scanner_intelligence", {}).get("last_seen", "")),
            "geocountry": country_code,
            "geolocation": lat_long,
            "tags": tags,
            "trafficlightprotocol": tlp_color,
        },
    }

    return formatted_indicator


def build_feed_query(query: str) -> str:
    if query == "All":
        query_string = "last_seen:1d"
    elif query == "Malicious":
        query_string = "last_seen:1d classification:malicious"
    elif query == "Suspicious":
        query_string = "last_seen:1d classification:suspicious"
    elif query == "Malicious + Suspicious":
        query_string = "last_seen:1d (classification:malicious OR classification:suspicious)"
    elif query == "Benign + Malicious":
        query_string = "last_seen:1d (classification:benign OR classification:malicious)"
    elif query == "Benign + Malicious + Suspicious":
        query_string = "last_seen:1d (-classification:unknown)"
    elif query == "Benign":
        query_string = "last_seen:1d classification:benign"
    else:
        query_string = ""

    return query_string


def fetch_indicators(client: Client, params) -> list[dict]:
    """Retrieves all entries from the feed.
    Returns:
        A list of objects, containing the indicators.
    """

    query = params.get("greynoiseFeedType")
    tlp_color = params.get("tlp_color")
    feed_query = build_feed_query(query)

    try:
        response = client.query(query=feed_query, exclude_raw=True, size=10000)
        indicators: list = []
        complete = False
        while not complete:
            for indicator in response.get("data", []):
                indicators.append(format_indicator(indicator, tlp_color))
            complete = response["request_metadata"].get("complete", True)
            scroll = response["request_metadata"].get("scroll", "")
            response = client.query(query=feed_query, exclude_raw=True, scroll=scroll, size=10000)

    except Exception as err:
        demisto.debug(str(err))
        raise Exception(f"{err}")

    return indicators


def test_module(client: Client) -> str:
    """Tests API connectivity and authentication'

    Returning 'ok' indicates that the integration works like it is supposed to.
    Connection to the service is successful.
    Raises exceptions if something goes wrong.

    :type client: ``Client``
    :param client: Client object for interaction with GreyNoise.

    :return: 'ok' if test passed, anything else will fail the test.
    :rtype: ``str``
    """
    return client.authenticate()


def get_indicators_command(client: Client, params) -> CommandResults:
    """Wrapper for retrieving indicators from the feed to the war-room.
    Args:
        client: Client object with request.
    Returns:
        CommandResults object containing the indicators retrieved.
    """

    query = params.get("greynoiseFeedType")
    tlp_color = params.get("tlp_color")
    feed_query = build_feed_query(query)

    try:
        response = client.query(query=feed_query, exclude_raw=True, size=25)
        hr_indicators: list = []
        output_list: list = []

        for indicator in response.get("data", []):
            hr = format_indicator(indicator, tlp_color)
            hr_indicators.append(hr)
            output_list.append({"Type": hr.get("Type"), "Value": hr.get("Value"), "Tags": hr.get("fields", {}).get("tags")})

    except Exception as err:
        demisto.debug(str(err))
        raise Exception(f"{err}")

    human_readable = tableToMarkdown(
        "Indicators from GreyNoise:", hr_indicators, headers=["Value", "Type", "rawJSON", "fields"], removeNull=True
    )
    human_readable += "Note: This display is limited to the first 25 indicators returned by the feed.\n"

    return CommandResults(
        outputs=output_list,
        readable_output=human_readable,
        outputs_prefix="GreyNoiseFeed.Indicators",
        outputs_key_field="value",
        raw_response=hr_indicators,
    )


def fetch_indicators_command(client: Client, params) -> list[dict]:
    """Wrapper for fetching indicators from the feed to the Indicators tab.
    Args:
        client: Client object with request.
    Returns:
        Indicators.
    """
    indicators = fetch_indicators(client, params)
    return indicators


def main():
    """
    PARSE AND VALIDATE INTEGRATION PARAMS
    """
    params = demisto.params()

    command = demisto.command()
    demisto.info(f"Command being called is {command}")

    pack_version = "2.0.0"

    # get pack version
    if is_demisto_version_ge("6.1.0"):
        response = demisto.internalHttpRequest("GET", "/contentpacks/metadata/installed")
        packs = json.loads(response["body"])
    else:
        packs = []

    if isinstance(packs, list):
        for pack in packs:
            if pack["name"] == "FeedGreyNoiseIndicator":
                pack_version = pack["currentVersion"]
    else:  # packs is a dict
        if packs.get("name") == "FeedGreyNoiseIndicator":
            pack_version = packs.get("currentVersion")

    api_key = params.get("credentials", {}).get("password") or params.get("apikey")
    if not api_key:
        return_error("Please provide a valid API token")
    proxy = params.get("proxy", False)

    demisto.debug(f"Command being called is {command}")
    try:
        api_config = APIConfig(
            api_key=api_key,
            api_server=API_SERVER,
            timeout=TIMEOUT,
            proxy=handle_proxy("proxy", proxy).get("https", ""),
            use_cache=False,
            integration_name=f"xsoar-feed-v{pack_version}",
        )
        client = Client(api_config)

        if command == "test-module":
            return_results(test_module(client))
        elif command == "greynoise-get-indicators":
            return_results(get_indicators_command(client, params))
        elif command == "fetch-indicators":
            indicators = fetch_indicators_command(client, params)
            for iter_ in batch(indicators, batch_size=2000):
                demisto.createIndicators(iter_)
        else:
            raise NotImplementedError(f"Command {command} is not implemented.")

    except Exception as err:
        err_msg = f"Error in {INTEGRATION_NAME} Integration. [{err}]"
        return_error(err_msg)


if __name__ in ["__main__", "builtin", "builtins"]:
    main()