mirror of https://github.com/infosecn1nja/HELK.git
132 lines
3.3 KiB
Plaintext
132 lines
3.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Command Line Execution with suspicious URL and AppData Strings\n",
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"Detects a suspicious command line execution that includes an URL and AppData string in the command line parameters as used by several droppers (js/vbs > powershell)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Rule Content\n",
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"```\n",
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"- title: Command Line Execution with suspicious URL and AppData Strings\n",
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" id: 1ac8666b-046f-4201-8aba-1951aaec03a3\n",
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" status: experimental\n",
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" description: Detects a suspicious command line execution that includes an URL and\n",
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" AppData string in the command line parameters as used by several droppers (js/vbs\n",
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" > powershell)\n",
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" references:\n",
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" - https://www.hybrid-analysis.com/sample/3a1f01206684410dbe8f1900bbeaaa543adfcd07368ba646b499fa5274b9edf6?environmentId=100\n",
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" - https://www.hybrid-analysis.com/sample/f16c729aad5c74f19784a24257236a8bbe27f7cdc4a89806031ec7f1bebbd475?environmentId=100\n",
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" author: Florian Roth\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.t1059\n",
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" logsource:\n",
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" category: process_creation\n",
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" product: windows\n",
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" service: null\n",
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" detection:\n",
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" selection:\n",
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" CommandLine:\n",
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" - cmd.exe /c *http://*%AppData%\n",
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" - cmd.exe /c *https://*%AppData%\n",
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" condition: selection\n",
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" fields:\n",
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" - CommandLine\n",
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" - ParentCommandLine\n",
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" falsepositives:\n",
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" - High\n",
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" level: medium\n",
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"\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Querying Elasticsearch"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import Libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from elasticsearch import Elasticsearch\n",
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"from elasticsearch_dsl import Search\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Initialize Elasticsearch client"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
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"searchContext = Search(using=es, index='logs-*', doc_type='doc')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run Elasticsearch Query"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"s = searchContext.query('query_string', query='process_command_line.keyword:(cmd.exe\\ \\/c\\ *http\\:\\/\\/*%AppData% OR cmd.exe\\ \\/c\\ *https\\:\\/\\/*%AppData%)')\n",
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"response = s.execute()\n",
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"if response.success():\n",
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" df = pd.DataFrame((d.to_dict() for d in s.scan()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Show Results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df.head()"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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