{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# OceanLotus Registry Activity\n", "Detects registry keys created in OceanLotus (also known as APT32) attacks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rule Content\n", "```\n", "- title: OceanLotus Registry Activity\n", " id: 4ac5fc44-a601-4c06-955b-309df8c4e9d4\n", " status: experimental\n", " description: Detects registry keys created in OceanLotus (also known as APT32) attacks\n", " references:\n", " - https://www.welivesecurity.com/2019/03/20/fake-or-fake-keeping-up-with-oceanlotus-decoys/\n", " tags:\n", " - attack.t1112\n", " author: megan201296\n", " date: 2019/04/14\n", " logsource:\n", " product: windows\n", " service: sysmon\n", " category: null\n", " detection:\n", " selection:\n", " EventID: 13\n", " TargetObject:\n", " - '*\\SOFTWARE\\Classes\\CLSID\\{E08A0F4B-1F65-4D4D-9A09-BD4625B9C5A1}\\Model'\n", " - '*\\SOFTWARE\\App\\AppXbf13d4ea2945444d8b13e2121cb6b663\\Application'\n", " - '*\\SOFTWARE\\App\\AppXbf13d4ea2945444d8b13e2121cb6b663\\DefaultIcon'\n", " - '*\\SOFTWARE\\App\\AppX70162486c7554f7f80f481985d67586d\\Application'\n", " - '*\\SOFTWARE\\App\\AppX70162486c7554f7f80f481985d67586d\\DefaultIcon'\n", " - '*\\SOFTWARE\\App\\AppX37cc7fdccd644b4f85f4b22d5a3f105a\\Application'\n", " - '*\\SOFTWARE\\App\\AppX37cc7fdccd644b4f85f4b22d5a3f105a\\DefaultIcon'\n", " condition: selection\n", " falsepositives:\n", " - Unknown\n", " level: critical\n", "\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Querying Elasticsearch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Import Libraries" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from elasticsearch import Elasticsearch\n", "from elasticsearch_dsl import Search\n", "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Initialize Elasticsearch client" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "es = Elasticsearch(['http://helk-elasticsearch:9200'])\n", "searchContext = Search(using=es, index='logs-endpoint-winevent-sysmon-*', doc_type='doc')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run Elasticsearch Query" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "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))')\n", "response = s.execute()\n", "if response.success():\n", " df = pd.DataFrame((d.to_dict() for d in s.scan()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Show Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df.head()" ] } ], "metadata": {}, "nbformat": 4, "nbformat_minor": 4 }