mirror of https://github.com/infosecn1nja/HELK.git
122 lines
2.7 KiB
Plaintext
122 lines
2.7 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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"# Buffer Overflow Attempts\n",
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"Detects buffer overflow attempts in Unix system log files"
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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: Buffer Overflow Attempts\n",
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" id: 18b042f0-2ecd-4b6e-9f8d-aa7a7e7de781\n",
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" description: Detects buffer overflow attempts in Unix system log files\n",
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" references:\n",
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" - https://github.com/ossec/ossec-hids/blob/master/etc/rules/attack_rules.xml\n",
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" logsource:\n",
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" product: unix\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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" keywords:\n",
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" - attempt to execute code on stack by\n",
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" - FTP LOGIN FROM .* 0bin0sh\n",
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" - 'rpc.statd[\\d+]: gethostbyname error for'\n",
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" - AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\n",
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" condition: keywords\n",
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" falsepositives:\n",
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" - Unkown\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='\\*.keyword:(*attempt\\ to\\ execute\\ code\\ on\\ stack\\ by* OR *FTP\\ LOGIN\\ FROM\\ .*\\ 0bin0sh* OR *rpc.statd\\[\\\\d\\+\\]\\:\\ gethostbyname\\ error\\ for* OR *AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA*)')\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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