{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Hijack legit RDP session to move laterally\n", "Detects the usage of tsclient share to place a backdoor on the RDP source machine's startup folder" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rule Content\n", "```\n", "- title: Hijack legit RDP session to move laterally\n", " id: 52753ea4-b3a0-4365-910d-36cff487b789\n", " status: experimental\n", " description: Detects the usage of tsclient share to place a backdoor on the RDP\n", " source machine's startup folder\n", " date: 2019/02/21\n", " author: Samir Bousseaden\n", " logsource:\n", " product: windows\n", " service: sysmon\n", " category: null\n", " detection:\n", " selection:\n", " EventID: 11\n", " Image: '*\\mstsc.exe'\n", " TargetFileName: '*\\Microsoft\\Windows\\Start Menu\\Programs\\Startup\\\\*'\n", " condition: selection\n", " falsepositives:\n", " - unknown\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-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:\"11\" AND process_path.keyword:*\\\\mstsc.exe AND TargetFileName.keyword:*\\\\Microsoft\\\\Windows\\\\Start\\ Menu\\\\Programs\\\\Startup\\\\*)')\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 }