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add nerd observable analyzer (#2377)
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* Add nerd observable analyzer

Co-authored-by: Michalius <xmatejm00@vutbr.cz>
Co-authored-by: standa4 <stanislavb@seznam.cz>

* adjusting nerd

* adjusting nerd

---------

Co-authored-by: Michalius <xmatejm00@vutbr.cz>
Co-authored-by: Matteo Lodi <30625432+mlodic@users.noreply.github.com>
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3 people authored Oct 29, 2024
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from django.db import migrations
from django.db.models.fields.related_descriptors import (
ForwardManyToOneDescriptor,
ForwardOneToOneDescriptor,
ManyToManyDescriptor,
)

plugin = {
"python_module": {
"health_check_schedule": None,
"update_schedule": None,
"module": "nerd.NERD",
"base_path": "api_app.analyzers_manager.observable_analyzers",
},
"name": "NERD_analyzer",
"description": "scan an IP address against NERD database.\r\nBefore using you must set your api_key and nerd_analysis.\r\nYou can get your api_key on nerd.cesnet.cz.\r\nSet nerd_analysis to:\r\n- basic - returns basic information\r\n- full - returns all information in DB\r\n- fmp - returns only FMP score\r\n- rep - returns only the reputation score",
"disabled": False,
"soft_time_limit": 60,
"routing_key": "default",
"health_check_status": True,
"type": "observable",
"docker_based": False,
"maximum_tlp": "AMBER",
"observable_supported": ["ip"],
"supported_filetypes": [],
"run_hash": False,
"run_hash_type": "",
"not_supported_filetypes": [],
"model": "analyzers_manager.AnalyzerConfig",
}

params = [
{
"python_module": {
"module": "nerd.NERD",
"base_path": "api_app.analyzers_manager.observable_analyzers",
},
"name": "api_key_name",
"type": "str",
"description": "Set your api_key before running. You can get one on nerd.cesnet.cz",
"is_secret": True,
"required": True,
},
{
"python_module": {
"module": "nerd.NERD",
"base_path": "api_app.analyzers_manager.observable_analyzers",
},
"name": "nerd_analysis",
"type": "str",
"description": "Set analysis type to basic, full, rep or fmp",
"is_secret": False,
"required": True,
},
]

values = [
{
"parameter": {
"python_module": {
"module": "nerd.NERD",
"base_path": "api_app.analyzers_manager.observable_analyzers",
},
"name": "nerd_analysis",
"type": "str",
"description": "Set analysis type to basic, full, rep or fmp",
"is_secret": False,
"required": True,
},
"analyzer_config": "NERD_analyzer",
"connector_config": None,
"visualizer_config": None,
"ingestor_config": None,
"pivot_config": None,
"for_organization": False,
"value": "basic",
"updated_at": "2024-10-11T14:00:47.545904Z",
"owner": None,
}
]


def _get_real_obj(Model, field, value):
def _get_obj(Model, other_model, value):
if isinstance(value, dict):
real_vals = {}
for key, real_val in value.items():
real_vals[key] = _get_real_obj(other_model, key, real_val)
value = other_model.objects.get_or_create(**real_vals)[0]
# it is just the primary key serialized
else:
if isinstance(value, int):
if Model.__name__ == "PluginConfig":
value = other_model.objects.get(name=plugin["name"])
else:
value = other_model.objects.get(pk=value)
else:
value = other_model.objects.get(name=value)
return value

if (
type(getattr(Model, field))
in [ForwardManyToOneDescriptor, ForwardOneToOneDescriptor]
and value
):
other_model = getattr(Model, field).get_queryset().model
value = _get_obj(Model, other_model, value)
elif type(getattr(Model, field)) in [ManyToManyDescriptor] and value:
other_model = getattr(Model, field).rel.model
value = [_get_obj(Model, other_model, val) for val in value]
return value


def _create_object(Model, data):
mtm, no_mtm = {}, {}
for field, value in data.items():
value = _get_real_obj(Model, field, value)
if type(getattr(Model, field)) is ManyToManyDescriptor:
mtm[field] = value
else:
no_mtm[field] = value
try:
o = Model.objects.get(**no_mtm)
except Model.DoesNotExist:
o = Model(**no_mtm)
o.full_clean()
o.save()
for field, value in mtm.items():
attribute = getattr(o, field)
if value is not None:
attribute.set(value)
return False
return True


def migrate(apps, schema_editor):
Parameter = apps.get_model("api_app", "Parameter")
PluginConfig = apps.get_model("api_app", "PluginConfig")
python_path = plugin.pop("model")
Model = apps.get_model(*python_path.split("."))
if not Model.objects.filter(name=plugin["name"]).exists():
exists = _create_object(Model, plugin)
if not exists:
for param in params:
_create_object(Parameter, param)
for value in values:
_create_object(PluginConfig, value)


def reverse_migrate(apps, schema_editor):
python_path = plugin.pop("model")
Model = apps.get_model(*python_path.split("."))
Model.objects.get(name=plugin["name"]).delete()


class Migration(migrations.Migration):
atomic = False
dependencies = [
("api_app", "0062_alter_parameter_python_module"),
("analyzers_manager", "0125_update_yara_repo"),
]

operations = [migrations.RunPython(migrate, reverse_migrate)]
68 changes: 68 additions & 0 deletions api_app/analyzers_manager/observable_analyzers/nerd.py
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# This file is a part of IntelOwl https://github.com/intelowlproject/IntelOwl
# See the file 'LICENSE' for copying permission.

import requests
from requests.exceptions import HTTPError

from api_app.analyzers_manager.classes import ObservableAnalyzer
from api_app.analyzers_manager.exceptions import (
AnalyzerConfigurationException,
AnalyzerRunException,
)
from tests.mock_utils import MockUpResponse, if_mock_connections, patch


class NERD(ObservableAnalyzer):
url: str = "https://nerd.cesnet.cz/nerd/api/v1"

_api_key_name: str
nerd_analysis: str

def update(self) -> bool:
pass

def run(self):
base_uri = f"/ip/{self.observable_name}"
headers = {
"Authorization": self._api_key_name,
"Accept": "application/json",
}
match self.nerd_analysis:
case "basic":
uri = base_uri
case "full" | "rep" | "fmp" as option:
uri = f"{base_uri}/{option}"
case _:
raise AnalyzerConfigurationException(
f"analysis type: '{self.nerd_analysis}' not supported."
"Supported are: 'basic', 'full', 'rep', 'fmp'."
)

try:
response = requests.get(self.url + uri, headers=headers)
response.raise_for_status()
result = response.json()
except requests.RequestException as e:
if (
isinstance(e, HTTPError)
and e.response.status_code == 404
and "NOT FOUND" in str(e)
):
result = {"status": "NO DATA"}
else:
raise AnalyzerRunException(e)

return result

@classmethod
def _monkeypatch(cls):

patches = [
if_mock_connections(
patch(
"requests.get",
return_value=MockUpResponse({}, 200),
),
)
]
return super()._monkeypatch(patches=patches)

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