misp-galaxy/tools/tidal-api/models/cluster.py

401 lines
12 KiB
Python

from dataclasses import dataclass, field, asdict
import json
@dataclass
class Meta:
pass
@dataclass
class GroupsMeta(Meta):
source: str = None
group_attack_id: str = None
country: str = None
observed_countries: list = None
observed_motivations: list = None
target_categories: list = None
tags: list = None
owner: str = None
@dataclass
class SoftwareMeta(Meta):
source: str = None
type: str = None
software_attack_id: str = None
platforms: list = None
tags: list = None
owner: str = None
@dataclass
class TechniqueMeta(Meta):
source: str = None
platforms: list = None
tags: list = None
owner: str = None
@dataclass
class SubTechniqueMeta(Meta):
source: str = None
technique_attack_id: str = None
@dataclass
class TacticMeta(Meta):
source: str = None
tactic_attack_id: str = None
ordinal_position: int = None
tags: list = None
owner: str = None
@dataclass
class ReferencesMeta(Meta):
source: str = None
refs: list = None
title: str = None
author: str = None
date_accessed: str = None
date_published: str = None
owner: str = None
@dataclass
class CampaignsMeta(Meta):
source: str = None
campaign_attack_id: str = None
first_seen: str = None
last_seen: str = None
tags: list = None
owner: str = None
@dataclass
class ClusterValue:
description: str = ""
meta: Meta = field(default_factory=Meta)
related: list = field(default_factory=list)
uuid: str = ""
value: str = ""
def return_value(self):
value_dict = asdict(self)
value_dict["meta"] = {
k: v for k, v in asdict(self.meta).items() if v is not None
}
return value_dict
class Cluster:
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
self.authors = authors
self.category = category
self.description = description
self.name = name
self.source = source
self.type = type
self.uuid = uuid
self.values = []
def add_values(self):
print("This method should be implemented in the child class")
def save_to_file(self, path):
with open(path, "w") as file:
file.write(json.dumps(self.__dict__(), indent=4))
def __str__(self) -> str:
return f"Cluster: {self.name} - {self.type} - {self.uuid}"
def __dict__(self) -> dict:
return {
"authors": self.authors,
"category": self.category,
"description": self.description,
"name": self.name,
"source": self.source,
"type": self.type,
"uuid": self.uuid,
"values": self.values,
}
class GroupCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = GroupsMeta(
source=entry.get("source"),
group_attack_id=entry.get("group_attack_id"),
country=(
entry.get("country")[0].get("country_code")
if entry.get("country")
else None
),
observed_countries=[
x.get("country_code") for x in entry.get("observed_country")
],
observed_motivations=[
x.get("name") for x in entry.get("observed_motivation")
],
target_categories=[x.get("name") for x in entry.get("observed_sector")],
tags=[x.get("tag") for x in entry.get("tags")],
owner=entry.get("owner_name"),
)
related = []
for relation in entry.get("associated_groups"):
related.append(
{
"dest-uuid": relation.get("id"),
"type": "related-to",
}
)
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=related,
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())
class SoftwareCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = SoftwareMeta(
source=entry.get("source"),
type=entry.get("type"),
software_attack_id=entry.get("software_attack_id"),
platforms=[x.get("name") for x in entry.get("platforms")],
tags=[x.get("tag") for x in entry.get("tags")],
owner=entry.get("owner_name"),
)
related = []
for relation in entry.get("groups"):
related.append(
{
"dest-uuid": relation.get("group_id"),
"type": "used-by",
}
)
for relation in entry.get("associated_software"):
related.append(
{
"dest-uuid": relation.get("id"),
"type": "related-to",
}
)
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=related,
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())
class TechniqueCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = TechniqueMeta(
source=entry.get("source"),
platforms=[x.get("name") for x in entry.get("platforms")],
tags=[x.get("tag") for x in entry.get("tags")],
owner=entry.get("owner_name"),
)
related = []
for relation in entry.get("tactic"):
related.append(
{
"dest-uuid": relation.get("tactic_id"),
"type": "uses",
}
)
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=related,
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())
for sub_technique in entry.get("sub_technique"):
meta = SubTechniqueMeta(
source=sub_technique.get("source"),
technique_attack_id=sub_technique.get("technique_attack_id"),
)
related = []
for relation in sub_technique.get("tactic"):
related.append(
{
"dest-uuid": relation.get("tactic_id"),
"type": "uses",
}
)
value = ClusterValue(
description=sub_technique.get("description"),
meta=meta,
related=related,
uuid=sub_technique.get("id"),
value=sub_technique.get("name"),
)
self.values.append(value.return_value())
class TacticCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = TacticMeta(
source=entry.get("source"),
tactic_attack_id=entry.get("tactic_attack_id"),
ordinal_position=entry.get("ordinal_position"),
tags=[x.get("tag") for x in entry.get("tags")],
owner=entry.get("owner_name"),
)
related = []
for relation in entry.get("techniques"):
related.append(
{
"dest-uuid": relation.get("technique_id"),
"type": "uses",
}
)
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=related,
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())
class ReferencesCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = ReferencesMeta(
source=entry.get("source"),
refs=[entry.get("url")],
title=entry.get("title"),
author=entry.get("author"),
date_accessed=entry.get("date_accessed"),
date_published=entry.get("date_published"),
owner=entry.get("owner_name"),
)
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=[],
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())
class CampaignsCluster(Cluster):
def __init__(
self,
authors: str,
category: str,
description: str,
name: str,
source: str,
type: str,
uuid: str,
):
super().__init__(authors, category, description, name, source, type, uuid)
def add_values(self, data):
for entry in data["data"]:
meta = CampaignsMeta(
source=entry.get("source"),
campaign_attack_id=entry.get("campaign_attack_id"),
first_seen=entry.get("first_seen"),
last_seen=entry.get("last_seen"),
tags=[x.get("tag") for x in entry.get("tags")],
owner=entry.get("owner_name"),
)
related = []
value = ClusterValue(
description=entry.get("description"),
meta=meta,
related=related,
uuid=entry.get("id"),
value=entry.get("name"),
)
self.values.append(value.return_value())