import json import pycountry import requests from pymisp import MISPEvent, MISPObject from . import check_input_attribute, standard_error_message mispattributes = {"input": ["ip-dst", "ip-src"], "format": "misp_standard"} moduleinfo = { "version": "2.1", "author": "Shivam Sandbhor ", "description": "Module to access CrowdSec CTI API.", "module-type": ["hover", "expansion"], "name": "CrowdSec CTI", "logo": "crowdsec.png", "requirements": ["A CrowdSec CTI API key. Get yours by following https://docs.crowdsec.net/docs/cti_api/getting_started/#getting-an-api-key"], "features": "This module enables IP lookup from CrowdSec CTI API. It provides information about the IP, such as what kind of attacks it has been participant of as seen by CrowdSec's network. It also includes enrichment by CrowdSec like background noise score, aggressivity over time etc.", "references": ["https://www.crowdsec.net/", "https://docs.crowdsec.net/docs/cti_api/getting_started", "https://app.crowdsec.net/"], "input": "An IP address.", "output": "IP Lookup information from CrowdSec CTI API", } moduleconfig = [ "api_key", "add_reputation_tag", "add_behavior_tag", "add_classification_tag", "add_mitre_technique_tag", "add_cve_tag", ] crowdsec_template = { "attributes": { "as-name": { "categories": ["Network activity", "External analysis"], "description": "Autonomous system name", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 0, }, "as-num": { "categories": ["Network activity", "External analysis"], "description": "Autonomous system number", "disable_correlation": True, "misp-attribute": "AS", "multiple": True, "ui-priority": 0, }, "attack-details": { "description": "Triggered scenarios", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 1, }, "background-noise": { "description": "High background noise scores highlight untargeted, mild threat mass-attacks", "disable_correlation": True, "misp-attribute": "float", "ui-priority": 1, }, "behaviors": { "description": "Attack categories", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 1, }, "city": { "description": "City of origin", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 1, }, "classifications": { "description": "Classification category of the IP address", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 1, }, "country": { "description": "Country of origin", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 1, }, "country-code": { "description": "Country Code", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 0, }, "cves": { "description": "CVEs", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 1, }, "dst-port": { "categories": ["Network activity", "External analysis"], "description": "Destination port", "disable_correlation": True, "misp-attribute": "port", "multiple": True, "ui-priority": 1, }, "false-positives": { "description": "False positive category of the IP address", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 1, }, "ip": { "categories": ["Network activity", "External analysis"], "description": "IP Address", "misp-attribute": "ip-src", "ui-priority": 1, }, "ip-range": { "categories": ["Network activity", "External analysis"], "description": "destination IP address", "misp-attribute": "text", "ui-priority": 1, }, "ip-range-score": { "categories": ["Network activity", "External analysis"], "description": "destination IP address", "disable_correlation": True, "misp-attribute": "float", "ui-priority": 1, }, "latitude": { "description": "Latitude of origin", "disable_correlation": True, "misp-attribute": "float", "ui-priority": 1, }, "longitude": { "description": "Longitude of origin", "disable_correlation": True, "misp-attribute": "float", "ui-priority": 1, }, "mitre-techniques": { "description": "MITRE ATT&CK techniques", "disable_correlation": True, "misp-attribute": "text", "multiple": True, "ui-priority": 1, }, "reputation": { "description": "IP reputation", "disable_correlation": True, "misp-attribute": "text", "multiple": False, "ui-priority": 1, }, "reverse-dns": { "categories": ["Network activity", "External analysis"], "description": "Reverse DNS name", "misp-attribute": "hostname", "ui-priority": 1, }, "scores": { "description": "Scores", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 1, }, "target-countries": { "description": "Target countries (top 10)", "disable_correlation": True, "misp-attribute": "text", "ui-priority": 1, }, "trust": { "description": "Trust level", "disable_correlation": True, "misp-attribute": "float", "ui-priority": 1, }, }, "description": "CrowdSec Threat Intelligence - IP CTI search", "meta-category": "network", "name": "crowdsec-ip-context", "requiredOneOf": ["ip"], "uuid": "0f0a6def-a351-4d3b-9868-d732f6f4666f", "version": 4, } def handler(q=False): if q is False: return False request = json.loads(q) if not request.get("config"): return {"error": "Missing CrowdSec Config"} if not request["config"].get("api_key"): return {"error": "Missing CrowdSec API key"} if not request.get("attribute") or not check_input_attribute(request["attribute"]): return { "error": f"{standard_error_message}, which should contain at least a type, a value and an uuid." } if request["attribute"].get("type") not in mispattributes["input"]: return { "error": f"Wrong input type. Please choose on of the following: {', '.join(mispattributes['input'])}" } return _handler_v2(request) def _get_boolean_config(request_data, config: str, default_config: bool): if request_data["config"].get(config) is None: return default_config raw_config = request_data["config"].get(config).lower() # falsy values, return False if raw_config in ["false", "0", "no", "off"]: return False # truthy values, return True if raw_config in ["true", "1", "yes", "on"]: return True return default_config def _handler_v2(request_data): attribute = request_data["attribute"] ip = attribute["value"] crowdsec_cti = requests.get( f"https://cti.api.crowdsec.net/v2/smoke/{ip}", headers={ "x-api-key": request_data["config"]["api_key"], "User-Agent": "crowdsec-misp/v2.1.0", }, ) crowdsec_cti.raise_for_status() crowdsec_cti = crowdsec_cti.json() add_reputation_tag = _get_boolean_config(request_data, "add_reputation_tag", True) add_behavior_tag = _get_boolean_config(request_data, "add_behavior_tag", True) add_classification_tag = _get_boolean_config( request_data, "add_classification_tag", True ) add_mitre_technique_tag = _get_boolean_config( request_data, "add_mitre_technique_tag", True ) add_cve_tag = _get_boolean_config(request_data, "add_cve_tag", True) misp_event = MISPEvent() misp_attribute = misp_event.add_attribute(**attribute) crowdsec_context_object = MISPObject( "crowdsec-ip-context", misp_objects_template_custom=crowdsec_template ) crowdsec_context_object.from_dict( first_seen=crowdsec_cti["history"]["first_seen"], last_seen=crowdsec_cti["history"]["last_seen"], ) ip_attribute = crowdsec_context_object.add_attribute("ip", crowdsec_cti["ip"]) reputation = crowdsec_cti["reputation"] or "unknown" crowdsec_context_object.add_attribute("reputation", reputation) if add_reputation_tag: tag = f'crowdsec:reputation="{reputation}"' ip_attribute.add_tag(tag) crowdsec_context_object.add_attribute("ip-range", crowdsec_cti["ip_range"]) crowdsec_context_object.add_attribute( "ip-range-score", crowdsec_cti["ip_range_score"] ) crowdsec_context_object.add_attribute( "country", get_country_name_from_alpha_2(crowdsec_cti["location"]["country"]) ) crowdsec_context_object.add_attribute( "country-code", crowdsec_cti["location"]["country"] ) if crowdsec_cti["location"].get("city"): crowdsec_context_object.add_attribute("city", crowdsec_cti["location"]["city"]) crowdsec_context_object.add_attribute( "latitude", crowdsec_cti["location"]["latitude"] ) crowdsec_context_object.add_attribute( "longitude", crowdsec_cti["location"]["longitude"] ) crowdsec_context_object.add_attribute("as-name", crowdsec_cti["as_name"]) crowdsec_context_object.add_attribute("as-num", crowdsec_cti["as_num"]) if crowdsec_cti.get("reverse_dns") is not None: crowdsec_context_object.add_attribute( "reverse-dns", crowdsec_cti["reverse_dns"] ) crowdsec_context_object.add_attribute( "background-noise", crowdsec_cti["background_noise_score"] ) for behavior in crowdsec_cti["behaviors"]: crowdsec_context_object.add_attribute( "behaviors", behavior["label"], comment=behavior["description"] ) if add_behavior_tag: tag = f'crowdsec:behavior="{behavior["name"]}"' ip_attribute.add_tag(tag) for technique in crowdsec_cti["mitre_techniques"]: technique_name = technique["name"] mitre_url = ( f"https://attack.mitre.org/tactics/{technique_name}" if technique_name.startswith("TA") else f"https://attack.mitre.org/techniques/{technique_name}" ) crowdsec_context_object.add_attribute( "mitre-techniques", technique["label"], comment=f'{technique["description"]} ({mitre_url})', ) if add_mitre_technique_tag: tag = f'crowdsec:mitre-technique="{technique_name}"' ip_attribute.add_tag(tag) for cve in crowdsec_cti["cves"]: cve_url = f"https://nvd.nist.gov/vuln/detail/{cve}" crowdsec_context_object.add_attribute("cves", cve, comment=cve_url) if add_cve_tag: tag = f'crowdsec:cve="{cve}"' ip_attribute.add_tag(tag) for feature, values in crowdsec_cti["classifications"].items(): field = feature[:-1] for value in values: crowdsec_context_object.add_attribute( feature, value["label"], comment=value["description"] ) if add_classification_tag: tag = f'crowdsec:{field}="{value["name"]}"' ip_attribute.add_tag(tag) crowdsec_context_object.add_attribute( "attack-details", ", ".join( f"{scenario['name']} - {scenario['label']} ({scenario['description']})" for scenario in crowdsec_cti["attack_details"] ), ) crowdsec_context_object.add_attribute( "target-countries", ", ".join( map(get_country_name_from_alpha_2, crowdsec_cti["target_countries"].keys()) ), ) crowdsec_context_object.add_attribute( "trust", crowdsec_cti["scores"]["overall"]["trust"] ) scores = [] for time_period, indicators in crowdsec_cti["scores"].items(): tp = " ".join(map(str.capitalize, time_period.split("_"))) indicator = ( f"{indicator_type.capitalize()}: {indicator_value}" for indicator_type, indicator_value in indicators.items() ) scores.append(f"{tp}: {' - '.join(indicator)}") crowdsec_context_object.add_attribute("scores", ", ".join(scores)) crowdsec_context_object.add_reference(misp_attribute.uuid, "related-to") misp_event.add_object(crowdsec_context_object) event = json.loads(misp_event.to_json()) results = { key: event[key] for key in ("Attribute", "Object") if (key in event and event[key]) } return {"results": results} def get_country_name_from_alpha_2(alpha_2): country_info = pycountry.countries.get(alpha_2=alpha_2) return country_info.name if country_info else None def introspection(): return mispattributes def version(): moduleinfo["config"] = moduleconfig return moduleinfo