{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Ping Hex IP\n", "Detects a ping command that uses a hex encoded IP address" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rule Content\n", "```\n", "- title: Ping Hex IP\n", " id: 1a0d4aba-7668-4365-9ce4-6d79ab088dfd\n", " description: Detects a ping command that uses a hex encoded IP address\n", " references:\n", " - https://github.com/vysec/Aggressor-VYSEC/blob/master/ping.cna\n", " - https://twitter.com/vysecurity/status/977198418354491392\n", " author: Florian Roth\n", " date: 2018/03/23\n", " tags:\n", " - attack.defense_evasion\n", " - attack.t1140\n", " - attack.t1027\n", " logsource:\n", " category: process_creation\n", " product: windows\n", " service: null\n", " detection:\n", " selection:\n", " CommandLine:\n", " - '*\\ping.exe 0x*'\n", " - '*\\ping 0x*'\n", " condition: selection\n", " fields:\n", " - ParentCommandLine\n", " falsepositives:\n", " - Unlikely, because no sane admin pings IP addresses in a hexadecimal form\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-*', 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='process_command_line.keyword:(*\\\\ping.exe\\ 0x* OR *\\\\ping\\ 0x*)')\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 }