mirror of https://github.com/infosecn1nja/HELK.git
151 lines
3.6 KiB
Plaintext
151 lines
3.6 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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"# Antivirus Relevant File Paths Alerts\n",
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"Detects an Antivirus alert in a highly relevant file path or with a relevant file name"
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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: Antivirus Relevant File Paths Alerts\n",
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" id: c9a88268-0047-4824-ba6e-4d81ce0b907c\n",
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" description: Detects an Antivirus alert in a highly relevant file path or with a\n",
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" relevant file name\n",
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" date: 2018/09/09\n",
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" modified: 2019/10/04\n",
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" author: Florian Roth\n",
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" references:\n",
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" - https://www.nextron-systems.com/2018/09/08/antivirus-event-analysis-cheat-sheet-v1-4/\n",
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" logsource:\n",
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" product: antivirus\n",
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" service: null\n",
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" category: null\n",
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" detection:\n",
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" selection:\n",
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" FileName:\n",
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" - C:\\Windows\\Temp\\\\*\n",
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" - C:\\Temp\\\\*\n",
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" - '*\\\\Client\\\\*'\n",
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" - C:\\PerfLogs\\\\*\n",
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" - C:\\Users\\Public\\\\*\n",
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" - C:\\Users\\Default\\\\*\n",
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" - '*.ps1'\n",
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" - '*.vbs'\n",
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" - '*.bat'\n",
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" - '*.chm'\n",
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" - '*.xml'\n",
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" - '*.txt'\n",
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" - '*.jsp'\n",
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" - '*.jspx'\n",
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" - '*.asp'\n",
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" - '*.aspx'\n",
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" - '*.php'\n",
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" - '*.war'\n",
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" - '*.hta'\n",
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" - '*.lnk'\n",
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" - '*.scf'\n",
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" - '*.sct'\n",
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" - '*.vbe'\n",
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" - '*.wsf'\n",
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" - '*.wsh'\n",
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" condition: selection\n",
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" fields:\n",
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" - Signature\n",
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" - User\n",
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" falsepositives:\n",
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" - Unlikely\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='file_name.keyword:(C\\:\\\\Windows\\\\Temp\\\\* OR C\\:\\\\Temp\\\\* OR *\\\\Client\\\\* OR C\\:\\\\PerfLogs\\\\* OR C\\:\\\\Users\\\\Public\\\\* OR C\\:\\\\Users\\\\Default\\\\* OR *.ps1 OR *.vbs OR *.bat OR *.chm OR *.xml OR *.txt OR *.jsp OR *.jspx OR *.asp OR *.aspx OR *.php OR *.war OR *.hta OR *.lnk OR *.scf OR *.sct OR *.vbe OR *.wsf OR *.wsh)')\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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