- title: Suspicious Program Location with Network Connections
id: 7b434893-c57d-4f41-908d-6a17bf1ae98f
status: experimental
description: Detects programs with network connections running in suspicious files
system locations
references:
- https://docs.google.com/spreadsheets/d/17pSTDNpa0sf6pHeRhusvWG6rThciE8CsXTSlDUAZDyo
author: Florian Roth
date: 2017/03/19
logsource:
product: windows
service: sysmon
definition: Use the following config to generate the necessary Event ID 3 Network
Connection events
category: null
detection:
selection:
EventID: 3
Image:
- '*\$Recycle.bin'
- '*\Users\All Users\\*'
- '*\Users\Default\\*'
- '*\Users\Public\\*'
- '*\Users\Contacts\\*'
- '*\Users\Searches\\*'
- C:\Perflogs\\*
- '*\config\systemprofile\\*'
- '*\Windows\Fonts\\*'
- '*\Windows\IME\\*'
- '*\Windows\addins\\*'
condition: selection
falsepositives:
- unknown
level: high
In [ ]:
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
import pandas as pd
In [ ]:
es = Elasticsearch(['http://helk-elasticsearch:9200'])
searchContext = Search(using=es, index='logs-endpoint-winevent-sysmon-*', doc_type='doc')
In [ ]:
s = searchContext.query('query_string', query='(event_id:"3" AND process_path.keyword:(*\\$Recycle.bin OR *\\Users\\All\ Users\\* OR *\\Users\\Default\\* OR *\\Users\\Public\\* OR *\\Users\\Contacts\\* OR *\\Users\\Searches\\* OR C\:\\Perflogs\\* OR *\\config\\systemprofile\\* OR *\\Windows\\Fonts\\* OR *\\Windows\\IME\\* OR *\\Windows\\addins\\*))')
response = s.execute()
if response.success():
df = pd.DataFrame((d.to_dict() for d in s.scan()))
In [ ]:
df.head()