HELK/docker/helk-jupyter/notebooks/sigma/lnx_clamav.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Relevant ClamAV Message\n",
    "Detects relevant ClamAV messages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Relevant ClamAV Message\n",
    "  id: 36aa86ca-fd9d-4456-814e-d3b1b8e1e0bb\n",
    "  description: Detects relevant ClamAV messages\n",
    "  references:\n",
    "  - https://github.com/ossec/ossec-hids/blob/master/etc/rules/clam_av_rules.xml\n",
    "  logsource:\n",
    "    product: linux\n",
    "    service: clamav\n",
    "    category: null\n",
    "  detection:\n",
    "    keywords:\n",
    "    - Trojan*FOUND\n",
    "    - VirTool*FOUND\n",
    "    - Webshell*FOUND\n",
    "    - Rootkit*FOUND\n",
    "    - Htran*FOUND\n",
    "    condition: keywords\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-*', 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='\\*.keyword:(*Trojan*FOUND* OR *VirTool*FOUND* OR *Webshell*FOUND* OR *Rootkit*FOUND* OR *Htran*FOUND*)')\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
}