OceanLotus Registry Activity

Detects registry keys created in OceanLotus (also known as APT32) attacks

Rule Content

- title: OceanLotus Registry Activity
  id: 4ac5fc44-a601-4c06-955b-309df8c4e9d4
  status: experimental
  description: Detects registry keys created in OceanLotus (also known as APT32) attacks
  references:
  - https://www.welivesecurity.com/2019/03/20/fake-or-fake-keeping-up-with-oceanlotus-decoys/
  tags:
  - attack.t1112
  author: megan201296
  date: 2019/04/14
  logsource:
    product: windows
    service: sysmon
    category: null
  detection:
    selection:
      EventID: 13
      TargetObject:
      - '*\SOFTWARE\Classes\CLSID\{E08A0F4B-1F65-4D4D-9A09-BD4625B9C5A1}\Model'
      - '*\SOFTWARE\App\AppXbf13d4ea2945444d8b13e2121cb6b663\Application'
      - '*\SOFTWARE\App\AppXbf13d4ea2945444d8b13e2121cb6b663\DefaultIcon'
      - '*\SOFTWARE\App\AppX70162486c7554f7f80f481985d67586d\Application'
      - '*\SOFTWARE\App\AppX70162486c7554f7f80f481985d67586d\DefaultIcon'
      - '*\SOFTWARE\App\AppX37cc7fdccd644b4f85f4b22d5a3f105a\Application'
      - '*\SOFTWARE\App\AppX37cc7fdccd644b4f85f4b22d5a3f105a\DefaultIcon'
    condition: selection
  falsepositives:
  - Unknown
  level: critical

Querying Elasticsearch

Import Libraries



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from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
import pandas as pd

Initialize Elasticsearch client



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es = Elasticsearch(['http://helk-elasticsearch:9200'])
searchContext = Search(using=es, index='logs-endpoint-winevent-sysmon-*', doc_type='doc')

Run Elasticsearch Query



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s = searchContext.query('query_string', query='(event_id:"13" AND registry_key_path.keyword:(*\\SOFTWARE\\Classes\\CLSID\\\{E08A0F4B\-1F65\-4D4D\-9A09\-BD4625B9C5A1\}\\Model OR *\\SOFTWARE\\App\\AppXbf13d4ea2945444d8b13e2121cb6b663\\Application OR *\\SOFTWARE\\App\\AppXbf13d4ea2945444d8b13e2121cb6b663\\DefaultIcon OR *\\SOFTWARE\\App\\AppX70162486c7554f7f80f481985d67586d\\Application OR *\\SOFTWARE\\App\\AppX70162486c7554f7f80f481985d67586d\\DefaultIcon OR *\\SOFTWARE\\App\\AppX37cc7fdccd644b4f85f4b22d5a3f105a\\Application OR *\\SOFTWARE\\App\\AppX37cc7fdccd644b4f85f4b22d5a3f105a\\DefaultIcon))')
response = s.execute()
if response.success():
    df = pd.DataFrame((d.to_dict() for d in s.scan()))

Show Results



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df.head()