mirror of https://github.com/infosecn1nja/HELK.git
127 lines
2.8 KiB
Plaintext
127 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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"# Ursnif\n",
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"Detects new registry key created by Ursnif malware."
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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: Ursnif\n",
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" id: 21f17060-b282-4249-ade0-589ea3591558\n",
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" status: experimental\n",
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" description: Detects new registry key created by Ursnif malware.\n",
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" references:\n",
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" - https://blog.yoroi.company/research/ursnif-long-live-the-steganography/\n",
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" - https://blog.trendmicro.com/trendlabs-security-intelligence/phishing-campaign-uses-hijacked-emails-to-deliver-ursnif-by-replying-to-ongoing-threads/\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.t1112\n",
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" author: megan201296\n",
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" date: 2019/02/13\n",
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" logsource:\n",
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" product: windows\n",
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" service: sysmon\n",
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" category: null\n",
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" detection:\n",
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" selection:\n",
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" EventID: 13\n",
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" TargetObject: '*\\Software\\AppDataLow\\Software\\Microsoft\\\\*'\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Unknown\n",
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" level: critical\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-endpoint-winevent-sysmon-*', 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='(event_id:\"13\" AND registry_key_path.keyword:*\\\\Software\\\\AppDataLow\\\\Software\\\\Microsoft\\\\*)')\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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