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Palo Alto Cortex XSIAM: add support array of default logsources#111

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saltar-ua merged 3 commits intomainfromgis-7789
May 20, 2024
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Palo Alto Cortex XSIAM: Add support array of default logsources
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@saltar-ua
saltar-ua committedMay 17, 2024
commit9fb67bd7f9655becee5c386bafa3ab9c5607b62c
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
platform: Palo Alto XSIAM
source: webserver

default_log_source:
dataset: [apache_tomcat_raw, nginx_nginx_raw, apache_tomcat_raw]

field_mapping:
c-uri: xdm.network.http.url
c-useragent: xdm.source.user_agent
cs-method: xdm.network.http.method
cs-bytes: xdm.target.sent_bytes
c-uri-query: xdm.network.http.url
cs-referrer: xdm.network.http.referrer
sc-status: xdm.network.http.response_code
13 changes: 11 additions & 2 deletionsuncoder-core/app/translator/platforms/palo_alto/mapping.py
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@@ -1,4 +1,4 @@
from typing import Optional
from typing import Optional, Union

from app.translator.core.mapping import (
DEFAULT_MAPPING_NAME,
Expand All@@ -18,8 +18,17 @@ def __init__(self, preset: Optional[list[str]], dataset: Optional[list[str]], de
def is_suitable(self, preset: str, dataset: str) -> bool:
return preset == self.preset or dataset == self.dataset

def __prepare_log_source_for_render(self, logsource: Union[str, list[str]], model: str = "datamodel") -> str:
if isinstance(logsource, list):
return f"{model} in ({', '.join([source for source in logsource])})"
return f"{model} = {logsource}"

def __str__(self) -> str:
return self._default_source.get("preset") or self._default_source.get("dataset")
if preset_data := self._default_source.get("preset"):
return self.__prepare_log_source_for_render(logsource=preset_data, model="preset")
if dataset_data := self._default_source.get("dataset"):
return self.__prepare_log_source_for_render(logsource=dataset_data, model="preset")
return "datamodel"


class CortexXSIAMMappings(BasePlatformMappings):
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Expand Up@@ -118,14 +118,4 @@ class CortexXQLQueryRender(PlatformQueryRender):
is_single_line_comment = False

def generate_prefix(self, log_source_signature: CortexXSIAMLogSourceSignature) -> str:
preset = (
f"preset = {log_source_signature._default_source.get('preset')}"
if log_source_signature._default_source.get("preset")
else None
)
dataset = (
f"dataset = {log_source_signature._default_source.get('dataset')}"
if log_source_signature._default_source.get("dataset")
else None
)
return preset or dataset or "datamodel"
return str(log_source_signature)
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