{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Ursnif\n", "Detects new registry key created by Ursnif malware." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rule Content\n", "```\n", "- title: Ursnif\n", " id: 21f17060-b282-4249-ade0-589ea3591558\n", " status: experimental\n", " description: Detects new registry key created by Ursnif malware.\n", " references:\n", " - https://blog.yoroi.company/research/ursnif-long-live-the-steganography/\n", " - https://blog.trendmicro.com/trendlabs-security-intelligence/phishing-campaign-uses-hijacked-emails-to-deliver-ursnif-by-replying-to-ongoing-threads/\n", " tags:\n", " - attack.execution\n", " - attack.t1112\n", " author: megan201296\n", " date: 2019/02/13\n", " logsource:\n", " product: windows\n", " service: sysmon\n", " category: null\n", " detection:\n", " selection:\n", " EventID: 13\n", " TargetObject: '*\\Software\\AppDataLow\\Software\\Microsoft\\\\*'\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\\\\AppDataLow\\\\Software\\\\Microsoft\\\\*)')\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 }