mirror of https://github.com/infosecn1nja/HELK.git
135 lines
3.6 KiB
Plaintext
135 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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"# CobaltStrike Malleable Amazon browsing traffic profile\n",
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"Detects Malleable Amazon Profile"
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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: CobaltStrike Malleable Amazon browsing traffic profile\n",
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" id: 953b895e-5cc9-454b-b183-7f3db555452e\n",
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" status: experimental\n",
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" description: Detects Malleable Amazon Profile\n",
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" references:\n",
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" - https://github.com/rsmudge/Malleable-C2-Profiles/blob/master/normal/amazon.profile\n",
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" - https://www.hybrid-analysis.com/sample/ee5eca8648e45e2fea9dac0d920ef1a1792d8690c41ee7f20343de1927cc88b9?environmentId=100\n",
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" author: Markus Neis\n",
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" tags:\n",
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" - attack.t1102\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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" selection1:\n",
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" c-useragent: Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like\n",
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" Gecko\n",
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" cs-method: GET\n",
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" c-uri: /s/ref=nb_sb_noss_1/167-3294888-0262949/field-keywords=books\n",
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" cs-host: www.amazon.com\n",
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" cs-cookie: '*=csm-hit=s-24KU11BB82RZSYGJ3BDK|1419899012996'\n",
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" selection2:\n",
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" c-useragent: Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like\n",
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" Gecko\n",
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" cs-method: POST\n",
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" c-uri: /N4215/adj/amzn.us.sr.aps\n",
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" cs-host: www.amazon.com\n",
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" condition: selection1 or selection2\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:\"Mozilla\\/5.0\\ \\(Windows\\ NT\\ 6.1;\\ WOW64;\\ Trident\\/7.0;\\ rv\\:11.0\\)\\ like\\ Gecko\" AND cs-host:\"www.amazon.com\" AND ((cs-method:\"GET\" AND c-uri:\"\\/s\\/ref\\=nb_sb_noss_1\\/167\\-3294888\\-0262949\\/field\\-keywords\\=books\" AND cs-cookie.keyword:*\\=csm\\-hit\\=s\\-24KU11BB82RZSYGJ3BDK|1419899012996) OR (cs-method:\"POST\" AND c-uri:\"\\/N4215\\/adj\\/amzn.us.sr.aps\")))')\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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