{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Suspicious PowerShell Invocations - Generic\n", "Detects suspicious PowerShell invocation command parameters" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rule Content\n", "```\n", "- title: Suspicious PowerShell Invocations - Generic\n", " id: 3d304fda-78aa-43ed-975c-d740798a49c1\n", " status: experimental\n", " description: Detects suspicious PowerShell invocation command parameters\n", " tags:\n", " - attack.execution\n", " - attack.t1086\n", " author: Florian Roth (rule)\n", " logsource:\n", " product: windows\n", " service: powershell\n", " category: null\n", " detection:\n", " encoded:\n", " - ' -enc '\n", " - ' -EncodedCommand '\n", " hidden:\n", " - ' -w hidden '\n", " - ' -window hidden '\n", " - ' - windowstyle hidden '\n", " noninteractive:\n", " - ' -noni '\n", " - ' -noninteractive '\n", " condition: all of them\n", " falsepositives:\n", " - Penetration tests\n", " - Very special / sneaky PowerShell scripts\n", " level: high\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-powershell-*', 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='(\\*.keyword:(*\\ \\-enc\\ * OR *\\ \\-EncodedCommand\\ *) AND \\*.keyword:(*\\ \\-w\\ hidden\\ * OR *\\ \\-window\\ hidden\\ * OR *\\ \\-\\ windowstyle\\ hidden\\ *) AND \\*.keyword:(*\\ \\-noni\\ * OR *\\ \\-noninteractive\\ *))')\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 }