mirror of https://github.com/infosecn1nja/HELK.git
130 lines
2.8 KiB
Plaintext
130 lines
2.8 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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"# Crypto Miner User Agent\n",
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"Detects suspicious user agent strings used by crypto miners in proxy logs"
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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: Crypto Miner User Agent\n",
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" id: fa935401-513b-467b-81f4-f9e77aa0dd78\n",
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" status: experimental\n",
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" description: Detects suspicious user agent strings used by crypto miners in proxy\n",
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" logs\n",
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" references:\n",
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" - https://github.com/xmrig/xmrig/blob/da22b3e6c45825f3ac1f208255126cb8585cd4fc/src/base/kernel/Platform_win.cpp#L65\n",
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" - https://github.com/xmrig/xmrig/blob/427b6516e0550200c17ca28675118f0fffcc323f/src/version.h\n",
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" author: Florian Roth\n",
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" date: 2019/10/21\n",
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" logsource:\n",
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" category: proxy\n",
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" product: null\n",
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" service: null\n",
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" detection:\n",
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" selection:\n",
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" c-useragent:\n",
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" - XMRig *\n",
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" - ccminer*\n",
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" condition: selection\n",
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" fields:\n",
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" - ClientIP\n",
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" - c-uri\n",
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" - c-useragent\n",
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" falsepositives:\n",
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" - Unknown\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='c-useragent.keyword:(XMRig\\ * OR ccminer*)')\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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