mirror of https://github.com/infosecn1nja/HELK.git
142 lines
3.7 KiB
Plaintext
142 lines
3.7 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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"# WScript or CScript Dropper\n",
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"Detects wscript/cscript executions of scripts located in user directories"
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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: WScript or CScript Dropper\n",
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" id: cea72823-df4d-4567-950c-0b579eaf0846\n",
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" status: experimental\n",
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" description: Detects wscript/cscript executions of scripts located in user directories\n",
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" author: Margaritis Dimitrios (idea), Florian Roth (rule)\n",
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" tags:\n",
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" - attack.defense_evasion\n",
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" - attack.execution\n",
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" - attack.t1064\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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" Image:\n",
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" - '*\\wscript.exe'\n",
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" - '*\\cscript.exe'\n",
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" CommandLine:\n",
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" - '* C:\\Users\\\\*.jse *'\n",
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" - '* C:\\Users\\\\*.vbe *'\n",
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" - '* C:\\Users\\\\*.js *'\n",
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" - '* C:\\Users\\\\*.vba *'\n",
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" - '* C:\\Users\\\\*.vbs *'\n",
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" - '* C:\\ProgramData\\\\*.jse *'\n",
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" - '* C:\\ProgramData\\\\*.vbe *'\n",
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" - '* C:\\ProgramData\\\\*.js *'\n",
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" - '* C:\\ProgramData\\\\*.vba *'\n",
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" - '* C:\\ProgramData\\\\*.vbs *'\n",
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" falsepositive:\n",
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" ParentImage: '*\\winzip*'\n",
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" condition: selection and not falsepositive\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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" - Winzip\n",
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" - Other self-extractors\n",
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" level: high\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_path.keyword:(*\\\\wscript.exe OR *\\\\cscript.exe) AND process_command_line.keyword:(*\\ C\\:\\\\Users\\\\*.jse\\ * OR *\\ C\\:\\\\Users\\\\*.vbe\\ * OR *\\ C\\:\\\\Users\\\\*.js\\ * OR *\\ C\\:\\\\Users\\\\*.vba\\ * OR *\\ C\\:\\\\Users\\\\*.vbs\\ * OR *\\ C\\:\\\\ProgramData\\\\*.jse\\ * OR *\\ C\\:\\\\ProgramData\\\\*.vbe\\ * OR *\\ C\\:\\\\ProgramData\\\\*.js\\ * OR *\\ C\\:\\\\ProgramData\\\\*.vba\\ * OR *\\ C\\:\\\\ProgramData\\\\*.vbs\\ *)) AND (NOT (process_parent_path.keyword:*\\\\winzip*)))')\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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